Fulltime Data Analyst openings in Portland on September 04, 2022

Statistical Analyst (Data Analyst 1) at OHSU

Location: Portland

Department Overview

The Statistical Analyst provides high-level professional analytic support in research activities in the Division of General Internal Medicine and Geriatrics, at Oregon Health and Science University (OHSU).

Function/Duties of Position
• Conduct data management and analysis as directed by investigators in the Division of General Internal Medicine and Geriatrics and Section of Addiction Medicine.
• Work closely with health services, policy, and translational researchers and healthcare providers with respect to preparation of grant applications.
• Interpret and prepare results for reporting using statistical, graphical, or other relevant methods.
• Actively contribute to the review of working practices and the development of data analysis and management SOPs.
• Work closely with interdisciplinary investigators to present/publish research findings.
• Provide technical support and training to other analysts and investigators.
• Performing other duties as requested by the Supervisor.

Required Qualifications
• Master’s degree with major courses in relative field (Statistics/Biostatistics/Economics/Health Services Research) OR;
• Bachelor’s degree with major courses in field of research (economic/quantitative sciences) and 2 years of relevant experience.
• Working knowledge of statistical theory and hypothesis testing, quantitative analysis methods and database management techniques.
• Working knowledge of public health, addiction, or issues relevant to health services research and health program/policy evaluation.
• Experience working with and maintaining large data sets using any combination of R, SAS, SQL, Stata.
• Ability to exercise sound judgment in making decisions, and maintain thorough documentation of the decision-making process.
• Exemplary communication skills and ability to effectively present research findings to diverse audiences within and outside OHSU and academia.
• Strong commitment to rigorous research methods, accuracy of findings, and reproducibility of results.

Preferred Qualifications
• Master’s degree
• Demonstrated experience in claims data management and analysis, such as Medicare, Medicaid, and private insurance data.
• Database management experience.
• Experience working in a Windows Server environment.
• Experience working in Linux/Unix environment
• Content knowledge of substance use disorder research.

All are welcome

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at [Phone number shown when applying] or [Email available when viewing the job]. As an organization devoted to the health and well-being of people in Oregon and beyond, OHSU requires its employees to be fully vaccinated against COVID-19.
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Data Analyst – Quality and Business Services at 1000 Multnomah County

Location: Portland

Current employees: Please apply through the employee portal to be considered for this opportunity.

Pay Range:
$30.56 – $37.50 Hourly

Department:
Department of County Human Services (DCHS)

Job Type:
Regular Represented

Exemption Status:
United States of America (Non-Exempt)

Closing Date (Open Until Filled if No Date Specified):
September 18, 2022

The Opportunity:
Overview

Multnomah County Department of County Human Services (DCHS) invites applications for the Quality and Business Services Data Analyst position in the Aging, Disabilities, and Veterans Services Division.

The Data Analyst works as a member of the Quality and Business Services team to support the Aging, Disabilities & Veterans Services (ADVSD) Division.The Data Analyst will perform data analysis for complex technical and analytical work in the design and creation of queries and reports. This position will analyze complex data sets related to ADVSD consumers and report to program management in order to improve data quality and measure racial equity across the Division in key performance indicators.

Currently, there is one (1) full-time position located at the Five Oak Building, 209 SW 4th, Portland, OR 97204. The eligible list created from this recruitment may be used to fill future regular, limited duration, temporary, on-call, full or part-time assignments within the department.

This Work Matters – watch our video to learn more.

Join us to share your talents to help ensure program activities are on track and ensure our clients receive the proper care. Please see Application Tips for more information on how to apply.

Main responsibilities for this position may include:
• Designing quality assurance reports for assigned ADVSD portfolio programs, ADVSD quality improvement projects, ad hoc evaluation and data needs, as well as specific program analysis to highlight racial justice and other key metrics.
• Collecting, compiling, extracting, and organizing complex information and data from multiple ADVSD systems and the DCHS Data Mart data views for ADVSD
• Creating DCHS Data Mart data views of source data together with Data Analyst Seniors and IT. Work with ADVSD Quality and Business Services work unit to test and analyze SQL data from our 6 primary source systems.
• Conducting analysis on ADVSD data for both ad hoc and ongoing reporting needs designed for ADVSD management, program management, program staff, and division-wide projects. Utilize various analytic software programs including Tableau, Excel, statistical packages, and qualitative software.
• Developing Tableau workbooks using DCHS Data Mart data, as well as ad hoc data. Publish to ADVSD Tableau server.
• Analyzing, evaluating, and recommending modification to ADVSD data processes and procedures as they relate to division goals and quality improvements; make recommendations based on research and analysis.
• Performing difficult statistical or analytical studies involving complex data and records using mathematical modeling, multiple and logarithmic regression, and qualitative analysis.
• Investigating and resolving data, reporting, and system inconsistencies. Communicate data issues to ADVSD staff. Develop solutions regarding work flow, data entry, and data reporting issues and train staff on fixes
• Participating in completing documentation related to a Division-wide data strategy; this includes building templates for business glossaries, data dictionaries and working with programs and data stewards to complete documentation. This may involve populating data information and meta-data in Collibra.
• Developing written documentation, internal operating procedures, and user manuals and instructions on how to use dashboards. Provide training and technical assistance to end-users.
• Contributing to the DCHS Data Mart User Guide for developers, evaluators, analysts and program staff
• Developing and conducting user training sessions for ADVSD data systems, products created by the Quality and Business Services team, and systems that manage users like Varonis. Provide ongoing technical assistance to ADVSD as needed
• Analyzing information needs of ADVSD staff. Make recommendations for data systems approved by IT for ADVSD use.
• Documenting business needs and preparing system and report specifications.
• Working with Quality and Business Services team and Division programs to run reports that support the Division’s effort to focus on racial equity; reporting includes program offer metrics, demographic information on people served across the Division as well as day-to-day operational reporting.

To Qualify

We will consider any combination of relevant work experience, volunteering, education, and transferable skills as qualifying unless an item or section is labeled required. Please be clear and specific about how your background is relevant. For details about how we typically screen applications, review our overview of the selection process page.

Minimum Qualifications/Transferable Skills*:
• Ability to promote a culture of respect, inclusiveness, and appreciation of diverse perspectives, backgrounds, and values
• Bachelor’s degree or equivalent with major course work in math, computer science, business, or a related field
• Two (2) years of work experience in statistics, operational analysis, or a related field performing analysis, report development, statistical evaluation, statistical reporting, and/or database design, maintenance or administration
• Advanced knowledge and skill in advancing racial justice through application of an equity lens in data collection, analysis and presentation to support program evaluation and system change
• Advanced skill to extract, clean and transform complex data, validate reports, develop effective data visualizations, analyze data and build analytic tools using software such as Excel, and Tableau
• Must pass a criminal background check
• Transferable Skills:

Your transferable skills are any skills you have gained through education, work experience (including the military) or life experiences that are relevant for this position. Be sure to describe any transferable skills on your application and clearly explain how they apply to this position.

COVID-19 Vaccination Requirement: To protect the health of the community and employees, Multnomah County requires employees to be fully vaccinated against COVID-19 or have an approved medical or religious exemption as a qualification of employment.

The rule applies to all employees, as allowable by law. Candidates who receive an offer of County employment must provide proof of vaccination upon hire or submit an exception request prior to their start date.
Screening and Evaluation

The Application Packet:

Attachments will not be reviewed unless specifically requested. Only apply once for this opportunity. Your completed application must include the following:
• A completed Talent profile or an uploaded resume covering relevant experience and education. Please include the following for each employer: name of employer, location, dates of employment, your title, and a summary of your responsibilities.
• A cover letter. Please attach a cover letter as a separate document. Address why you are interested in this position and demonstrate how your experience and skill set align with the minimum and preferred qualifications listed.

Note: The application, resume, and cover letter should clearly demonstrate your work experience/skills and how they relate to the descriptions provided in the ‘Overview’ and ‘To Qualify’ sections of this job posting. Please be thorough, as these materials will be used to determine your eligibility for an interview.

— Only apply ONCE for this opportunity. Duplicate applications CANNOT be submitted in Workday. —

We will not review attached files that are not your resume, your cover letter, or documentation that establishes your eligibility for veterans’ preference. The recruiter as listed on the job announcement must receive all attachments by the closing date of the recruitment. Please attach veterans’ preference documentation to the separate Oregon Veteran Preference Questionnaire, not the regular application. Please contact the recruiter as soon as possible if you experience complications uploading your attachments.
• Internal applicant: If you are an internal candidate (current employee, including on-call, regular, probationary, limited duration, and temporary employee), your job application will consist of the career profile that you complete in Workday. Before you apply, please make sure to do the following:
• Navigate to your profile in Workday (see: My Career Profile) and click on the “Career” section of your profile. Complete all sections of your career profile that you want to have included in your application (Job History, Education, Skills, Languages, Certifications, etc.).
• When completing the application on Workday as an internal candidate, you will need to scroll down to see the “Resume/Cover Letter” section on your screen. This is the place where you may upload your resume and cover letter by…
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Health Equity Data Analyst at Legacy Health

Location: Portland

Health Equity Data Analyst

US-OR-Portland

Job ID: 22-25321
Type: Regular Full-Time
System Office 1919 Building

Overview

Our mission at Legacy Health is to make life better for others. That mission drives everything we do. As one of the largest employers and health care providers in the Portland metro area, people trust Legacy with their lives and livelihoods. Upholding our mission of making life better for others means that we must move beyond traditional Diversity, Equity and Inclusion (DEI) work toward being an anti-racist organization. At Legacy, we believe racism is a public health issue and we acknowledge that systemic racism exists throughout society, our industry, and even within our own organization. Our journey will require an openness and commitment to deep reflection, learning and action in support of our transformation into a health care provider and employer who honors the trust put in us by demonstrating diversity, equity, inclusion, and transparency in tangible and meaningful ways. As a Health Equity Data Analyst you ll be the subject matter expert for DEI employee and patient reporting and provide insights on DEI metrics and trends in consumable, customer friendly formats.

If you want to use your talents to make a difference in the lives of our patients and the community we serve, we invite you to consider this opportunity. We strive to be a diverse, culturally responsive, anti-racist organization, and encourage individuals with diverse backgrounds and those with experience analyzing data sources for trends and developing actionable insights to apply.

This is a hybrid-remote position – incumbents, who reside in Oregon or Washington only, may work 2-3 days a week at an assigned Legacy Health location, and other days may work remotely at home, on the road or in a satellite location for the remainder of their workweek. Must have access to a reliable broadband Internet connection to connect to Legacy s VPN.

All new hires are required to come to a designated Legacy Health office location in Portland, Oregon prior to their start date for a new hire health assessment and to complete new hire paperwork.

Note that our employee health plan coverage is for providers based in the Legacy Health geographic region. To find providers in our network click here . Urgent and emergent coverage is available outside the geographic region and telehealth is available within Oregon and Washington.

This position may require initial training and orientation to be site-based, before transitioning to the hybrid schedule.

Please include a cover letter with your resume and application materials in order to be considered. Responsibilities

The Health Equity Data Analyst is a key driver in the ongoing development and implementation of Legacy s systemwide diversity, equity and inclusion strategy to diversify our workforce and reduce the health disparities that exist between patient populations. The person in this role is responsible for wrangling and analyzing employee and patient data, presenting data using diverse and engaging visualizations, eg, a Real Time dashboard, prevalence map of racial/sexual/physical violence in a work environment, scorecards, and infographics, for diverse internal and external facing audiences. They will respond to requests for complex data extraction and analytics, produce and interpret data summaries, reports, and dashboards; interfaces with internal and external customers, will participate on and lead cross-functional project teams, supports various research projects, maintain subject matter expertise in select aspects of DEI data, and participate in special projects as needed. Qualifications

Education:
Relevant degree or equivalent experience in Statistics, Biostatistics, Mathematics, Epidemiology, Computer Science, Healthcare Administration, Public Health, or a related program preferred. Advanced degree a plus.

Experience:
Minimum three years of experience to include data mining, statistical software, and quantitative analysis, explanatory and predictive modeling, and evidence-based management to drive decision making;

experience creating a diversity dashboard, and other DEI visualizations strongly preferred.
Experience with report automation and Business Intelligence tools such as Microsoft PowerBI and Tableau.
Experience with relational databases, including SAS and/or SQL programming. Preferred experience in other languages, including Python, JSON and/or R.
Experience wrangling, analyzing, and applying data on diverse and underrepresented employee populations and/or patient populations.
Experience working in health services research or health care policy preferred.

Skills:
Comprehensive knowledge of business analytics
Project management and ability to execute highly complex or specialized projects
Strong communication skills, including technical and non-technical report writing, and oral presentation to both technical and non-technical audiences
Content expert on the application of DEI data for improving processes, measuring change over time, and identifying gaps and disparities.
Demonstrated ability to manage large disparate data sets and using qualitative and quantitative analysis.

LEGACY S VALUES IN ACTION:

Follows guidelines set forth in Legacy s Values in Action.

Equal Opportunity Employer/Vet/Disabled

PI
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Healthcare Data Analyst at Providence Health & Services

Location: Portland

Description

Providence is seeking a Healthcare Data Analyst who will:
• Be responsible for designing, implementing, and coordinating data analysis projects
• Provide analytical support for accreditation and external regulatory agency audit activities, operational healthcare metrics
• Respond to RFPs from existing employer groups
• Compile statistical profiles
• Maintain relational database solutions

In this position you will:
• Provides key analytic and statistical support for quality, clinical, and operational improvement activities. Includes effectively summarizing complex information into appropriate charts, tables, and figures in order to convey the meaning of the data to customers and decision-makers
• Develops, prepares, and distributes complex clinical and operational reports utilizing multiple data systems
• Develops and provides support for relational databases, including reporting, design, and data management
• Provides key analytic, statistical support and database management for accreditation and other external regulatory review, audit activities, disease management, provider profiling, case management, concurrent review, prior authorization, and other utilization and quality management functions
• Provides project management for mid-sized projects
• Helps others to clarify problems; adapts and modifies established approaches
• Identifies and selects appropriate tools, data, and analysis techniques to diagnose problems and develop solutions
• Exercises confidentiality of classified information based on security procedures

Required qualifications for this position include:
• Bachelor’s Degree in highly quantitative field (e.g. Statistics, Mathematics, Actuarial Science, Economics, Engineering/Physics, Accounting, or Computer Science), plus 5 years of experience in data analysis -OR- a combination of equivalent education and experience

Preferred qualifications for this position include:
• Healthcare organization/health insurer experience
• Statistical modeling experience

Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.

About Providence

At Providence, our strength lies in Our Promise of “Know me, care for me, ease my way.” Working at our family of organizations means that regardless of your role, we’ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.

Requsition ID: 118080

Company: Providence Jobs

Job Category: Member Services Enrollment & Billing

Job Function: Health Plans Services

Schedule: Full time

Shift: Day

Career Track: Business Professional

Department: 5018 FINAN FINANCIAL ANALYTICS OR REGION

Address: OR Portland 11918 SE Division St

Providence is proud to be an Equal Opportunity Employer. Providence does not discriminate on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.

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Data Analyst(Bangkok Based, relocation provided) at Agoda

Location: Portland

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

In this Role, you’ll get to:
• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers

What you’ll Need to Succeed:
• Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science)
• Ability to communicate fluently in English
• 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
• Good numerical reasoning skills
• Proficiency in Excel
• Intellectual curiosity

It’s Great if you Have:
• Experience in digital marketing
• Academic research experience
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Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
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Data Engineer at BiTS

Location: Portland

Essential Responsibilities:

Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities.

Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.

Qualifications:

Basic Qualifications:

Experience:

Minimum two (2) years data analysis, survey research, and/or applied research experience.
Minimum one (1) year digital data analytics experience.

Education:

Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum six (6) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.

Preferred Qualifications:

One (1) year artificial intelligence or machine learning experience.
One (1) year experience with statistical software programs (e.g. Python, R, STATA)
Three (3) years experience working for a health care organization
Three (3) years experience working for an IT organization
Two (2) years experience working on projects or programs requiring the integration of cross-functional technology and/or business solutions.
Two (2) years experience in workflow analysis, including the use of modeling software (e.g., Visio).
Two (2) years in a leadership role working with project or technical teams.
Two (2) years experience in business case development and analysis
Two (2) years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above)
Four (4) years consulting experience in hospital operations.
Four (4) years consulting experience in clinical administration.
Four (4) years consulting experience in health plan administration.
Masters degree in Economics, Applied Mathematics, or Statistics.
Masters degree in Business Administration, Computer Science, CIS or related field
Certified Business Analyst Professional (CBAP) or other comparable business analyst or IT consulting certification

Job Type: Full-time

Salary: $86,703.58 – $179,354.46 per year

Schedule:
8 hour shift

Ability to commute/relocate:
Portland, OR: Reliably commute or planning to relocate before starting work (Required)

Experience:
Informatica: 1 year (Preferred)
SQL: 1 year (Preferred)
Data warehouse: 1 year (Preferred)

Work Location: One location
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Retirement Plans Data Analyst at The Standard

Location: Portland

• At The Standard, you’ll join a team focused on putting our customers first.
• Our continued success is driven by a high-performance culture.
• We’re looking for people who are collaborative, accountable, creative, agile and are driven by a passion for doing what’s right – across the company and in our local communities.
• We offer a caring culture where you can make a real difference, every day.
• Ready to reach your highest potential?
• Let’s work together.
• Front line data contact for division, plan administrators and payroll vendors.
• Assure timely and accurate production processing and problem resolution.
• Administer the internet site Participant Data Management (PDM) for new and existing clients.
• Train and support new and existing clients to make full use of the PDM website.
• Analyze plan specific data requirements and technology capabilities of employers and payroll vendors for new and takeover business.
• Consult with sales consultants, employers, payroll vendors and internal customers to establish data parameters, develop file structure and determine frequency of data transmissions.
• Train employers, third-party administrators or vendors on the use of the PDM website for data transmission.
• Support the call center 800 line for external customers.
• Assist in research and resolution of plan administrative issues including plan document review and day-to-day questions to support internal customers.
• Responsible for verification of system data integrity and plan document comparison to actual live data submission.
• Interpret plan documents, financial statements and trust reports.
• Provide technical support for data and contribution submission.
• Review work completed by co-workers and provide detailed feedback to assure accurate plan administration.
• Participate on process improvement projects and act as a resource for RP Administration procedures and pension regulations.
• Education: Bachelor’s degree in Business, Information Systems or related field.
• Experience: Minimum 2 years demonstrated experience using web-based systems applications and database structures in a customer service environment; or the equivalent combination of education and/or relevant experience.
• Professional certification required: ASPPA basic coursework and/or designation preferred and may be attained through continuing education within one year.
• Note: The Standard is required to provide a reasonable estimate of the salary for this role when hiring a Colorado resident.
• The salary for employees working in Colorado in this role is listed below.
• The Standard’s package also includes incentive plan participation including medical, dental, vision, retirement, and paid time off.
• Please note, eligibility to participate in an incentive program is subject to the rules governing the program and plan.
• Any award depends on various factors, including individual and organizational performance.
• Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Equities, Inc. and StanCorp Investment Advisers, Inc., marketed as The Standard, are Affirmative Action/Equal Opportunity employers.
• All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender, sexual orientation, age, disability, or veteran status or any other condition protected by federal, state or local law.
• The Standard offers a drug and alcohol free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on Standard property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited.
• The Standard requires a criminal background investigation, drug test, employment, education and licensing verification as a condition of employment.
• All employees of The Standard must be bondable.
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Associate, Data & Analytics at KPMG

Location: Portland

Business Title: Associate, Data & Analytics

Requisition Number: 93820 – 73

Function: Business Support Services

Area of Interest:

State: OR

City: Portland

Description:

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you’re as passionate about your future as we are, join our team.

KPMG is currently seeking an Associate, Data & Analytics to join our Learning & Development organization.

Responsibilities:
• Use a wide range of data extraction and manipulation techniques to ensure data is accurately analyzed and reported by demonstrating expertise to extract, parse, transform, aggregate and re-arrange quantitative and qualitative data from multiple sources to meet reporting requirements
• Utilize a suite of business intelligence tools (such as PowerBI, Tableau, Alteryx, SQL, R. and Excel) to analyze data and report outcomes of learning solutions by choosing and applying the proper analysis techniques specifically for differing data types
• Prepare data visualizations that communicate insights to stakeholders
• Perform data wrangling (manipulations, transformations and integration) across a wide range of large data sets

Qualifications:
• Minimum one year of experience with Learning & Development (L&D) and/or Measurement & Evaluation is an advantage
• Bachelor’s degree from an accredited college or university
• A data-driven mindset with a passion for analysis
• Experience in wrangling and analyzing data with tools such as PowerBI, Tableau, Alteryx, R and/or Python is important; familiarity with Excel is assumed
• SQL experience is a plus
• Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link ( ~~~) contains further information regarding the firm’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

GL: 6

GF: 15309
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Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) at Agoda

Location: Portland

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Overview:

The Agoda Content department is currently looking for a curious and questioning self-starter and proactive analyst, who will help drive decision making with insights from content, marketing and partner performance data.

You will get the opportunity to own analytical projects to direct our department’s focus, and prioritize our actions. By joining Agoda, you will become part of a truly international team, with leading experts of different backgrounds coming from 50+ countries around the world. This is a genuine opportunity to gain valuable experience in a challenging and cutting-edge tech environment. The ideal candidate would have a passion for high-converting content, great user-experience, data and analysis tools and methods. This position reports to the Associate Director of Content Operations, in Bangkok, Thailand.

Main responsibilities:
• Understand Content goals and KPIs and be able to align reports and insights based on them. Identify and investigate trends, anomalies and opportunities to improve Agoda’s Content strategy
• Identify content opportunities that drive customer value, bookings and conversion
• Help build business cases around the opportunity and get buy-in from stakeholders
• Ensure appropriate data/tools/dashboards to measure execution and enable deeper analysis
• Track execution and report up in regular updates
• Work with product, data/BI team and IT to create data resources and build appropriate reporting
• Work with Content team leads to understand their business needs and identify opportunities in terms of team actions prioritization and focus
• Use multiple data sources to report Content projects insights and impact; support Content tests and experiments
• Encourage and train the Content team in best practice use of Agoda data, analysis techniques and interpretation
• Coordinate with other Cross Functional departments like Analytics, Partner Services, and Product Owners
• Use Web-Analytics for Research and Analysis

Requirements:
• Bachelor degree or higher
• 2+ years of relevant experience
• Experience / knowledge in statistics, SQL, Python/R, Tableau and advanced Excel – required
• Ability to demonstrate data manipulation using data warehouse and create meaningful insight and visualization
• Experience / knowledge in Vertica and / or Impala – advantage
• Experience in generating data and / or preparing experiments for product development – advantage

Professional characteristics:
• Attentive to detail and committed to data integrity
• Keen and curious nature; able and willing to share your opinion
• Organized; able to manage multiple, competing priorities and deliver results under tight deadlines
• Able to communicate effectively; fluent in English – both spoken and written

#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
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For Remote Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) roles, visit Remote Data Analyst (Statistics/Python/BI) (Bangkok-based, relocation provided) Roles

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Business and Data Analyst, Operations at Earth Class Mail

Location: Portland

WE ARE Earth Class Mail – The leader in office mail automation for over a decade. We provide businesses with the most efficient, effective, and secure way to deal with physical mail. As our world inches closer to becoming completely digital, we present a solution to a problem faced by most businesses today; especially those receiving important, time-sensitive mail, ived on behalf, or in service, of their clients.

Our product gives businesses the opportunity to use our virtual mailbox and virtual address system to help grow their brand and focus on servicing their clientele. YOU ARE a Business and Data Analyst, reporting directly to our Director of Logistics, leading our efforts to generate business insights through data, identify areas of opportunity, and drive results across the entire span of the organization.

You will have a hands-on approach, support the development and validation of metrics and models, and produce easy-to-digest visual dashboards and reports supporting operations. This is a high-impact, high-visibility role with the expectation to deliver immediate results. WHAT YOU WILL BE DOING:
• Gather requirements and build business cases for internal development
• Advise management on the product, process, and operational decisions
• Build and support metrics to assess operations throughput and productivity
• Demonstrate creativity and flexibility in developing solutions
• Convert insights into actions and/or changes to ECM’s operating model
• Develop cost-benefit / ROI analyses to support investment decisions
• Develop effective presentations that tell a story to influence stakeholders
• Work independently on several projects with minimal oversight
• Deal with ambiguity and make independent decisions about problem-solving approach
• Engage with a diverse group of stakeholders with a professional attitude
• Serve as a change agent to challenge existing processes in place

Requirements
• Degree in Business, Engineering, Statistics, Mathematics or similar
• 3+ years experience working with supply chain, operations, and customer data
• 3+ years experience conducting business case evaluations (ROI, NPV, etc.)
• Experience connecting and analyzing data from multiple data sources
• Advanced proficiency with a business intelligence platform (Power BI, Tableau, Looker, etc.)
• Proficiency with SQL in a major relational database system (MSSQL, Postgre

SQL, MySQL, etc.)
• Proficiency with basic statistics (Correlation, Significance Testing, Identifying Outliers)
• Strong experience engaging business stakeholders to scope projects and gather requirements
• Ability to operate in a matrix work environment
• Ability to structure problem solving using a hypothesis-driven approach
• Ability to influence decision making through analysis/visualization
• Ability to travel to our operations center as required (< 2%)
Desirable

Qualifications:
• Experience with Python 3.6 or later
• Advanced proficiency with Microsoft Excel and/or Google Sheets
• Experience utilizing statistical software suites (JMP, Minitab, R or similar)
• Understanding of data warehousing, data modeling, and data management principles
Benefits WHAT WE PROVIDE FOR YOU AND YOUR FAMILY:
• Competitive Salary
• $1000 training and development allowance per year
• Flexible work environment
• Open PTO
• Medical, dental, and vision insurance plans
• Medical and dependent care flexible spending accounts
• Company-paid Life and AD&D coverage with the option to purchase additional coverage
• Company-paid short term disability coverage
• Employee assistance program
• 401K
• Nine paid holidays each year
ADDITIONAL INFORMATION: We are proud to foster a workplace free from discrimination. We strongly believe diversity of experience, perspectives, and background leads to a better environment for our employees and a better experience for our users and customers. We are an equal opportunity employer and do not discriminate against protected characteristics. We guarantee that all candidates will be given the same consideration.

Earth Class Mail is part of the Scaleworks portfolio of companies. Scaleworks is a private equity fund that acquires and invests in B2B SaaS companies. Our goal is to accelerate growth, sustainability over time and help each company become even more successful. Each company has its unique product, team, and story while being a part of the Scaleworks family. Headquartered in San Antonio, Texas, we have over 300 employees in our US, Canada, and Poland offices.
• No visa sponsorship is available for this position*
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For Remote Business and Data Analyst, Operations roles, visit Remote Business and Data Analyst, Operations Roles

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