2,004 Program Evaluation jobs in the United States
Staff Scientist - Geisinger Program Evaluation
Posted 4 days ago
Job Viewed
Job Description
Geisinger seeks an outstanding researcher to serve as a Staff Scientist for the newly created Geisinger Program Evaluation (GPE) team, whose purpose is to conduct rigorous evaluations of potentially high impact programs intended to improve patient health or improve efficiency at Geisinger.
Job Duties
The GPE Staff Scientist will be responsible for helping lead rigorous, primarily non-randomized (or partially randomized) evaluations of existing or new programs at Geisinger. The Staff Scientist will help lead or participate in study design, analysis (preferably using R), and reporting/dissemination of results to internal stakeholders (e.g., Geisinger leaders) as well as to academic audiences (e.g., at conferences and in academic publications). Evaluations from GPE team members have been published or are forthcoming in high-impact journals, including PNAS, Nature Human Behaviour, JAMA Network Open, and The Journal of Pediatrics. Additionally, the Staff Scientist will coordinate with other team members (e.g., Staff Scientist, Statistician, Project Manager).
+ Develops and leads research projects within the defined scope of the supervising faculty member's research program.
+ Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication.
+ Contributes to writing grant applications and manuscripts.
+ May submit authored grants with permission of the supervisor.
+ Performs literature searches to gather information pertaining to research projects or procedures in order to develop new protocols, projects or grants applications for assigned work group.
+ Responsible for determining experimental design, collecting data, performing calculations, and analyzing results.
+ Responsible for reviewing research or data controls and determining that the research results are valid.
+ Maintains and completes appropriate records of the purpose, methods, results, and conclusions from each research project.
+ May oversee the work of support personnel in the work group at the discretion of the supervising faculty member.
+ Participates in research meetings and formal seminars to present, explain, and discuss research conducted by the work group.
+ May deliver presentations to extramural audiences at national meetings and academic institutions.
Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Position Details
The ideal candidate will have expertise in field(s) related to health economics or health services research, and in non-randomized evaluation techniques (e.g., regression discontinuity, propensity scores) in a healthcare or other industry setting. A Ph.D. in economics, public health, biostatistics, epidemiology, marketing, management, psychology, or another relevant scholarly discipline is strongly preferred, with track records of publishing original empirical research, and collaborating with others.
The GPE Staff Scientist will be based in Danville, Pennsylvania at the main campus and headquarters of Geisinger. Remote work from another U.S. location (with occasional travel to Danville) may be possible for an exceptional candidate.
To apply: Please send a cover letter, C.V. or resume, and two representative scholarly publications in a single email to . Please also include names, titles, and contact information for three references (we will contact you before reaching out to your references). Questions about the position may also be sent to the same address. Review of applications will begin immediately and will continue until the position is filled.
Major duties and responsibilities:
+ Assisting the Associate Director in day-to-day operations and development of the GPE
+ Liaising, initiating, and coordinating execution of projects with internal and external stakeholders; this includes Geisinger groups such as clinical departments, the IRB, and the compliance, quality, and legal functions
+ Conducting literature searches and reviewing the literature to inform the team's projects
+ Contributing to or leading manuscript drafting and submission for select evaluation studies (first author opportunities available)
+ Participating in the design of interventions for evaluation and implementation at Geisinger
+ Participating in data management, analysis, visualization, and reporting to assess the effectiveness of Geisinger programs, including assessing their effects on patient and other outcomes and quantifying the associated costs and return on investment
+ Engaging in open science best practices (e.g., preregistration, preparing and sharing de-identified data and code)
+ Disseminating GPE findings at scientific conferences and to lay audiences (e.g., sharing findings with Geisinger leaders)
Required qualifications:
+ Experience using statistical software (preferably R, others acceptable)
+ Strong critical thinking skills
+ Curiosity and problem-solving skills to proactively identify solutions to pragmatic challenges in a complex healthcare system environment
+ Ability to work in an independent manner and complete increasingly complex assignments
+ Strong teamwork skills and the ability to work effectively in a group environment
+ Exceptional organizational, planning, and analytical skills
+ Competence in written, oral, and electronic communication skills (interpersonal/communication and technological effectiveness competencies)
Desired qualifications:
+ Experience implementing applied research in a healthcare and/or relevant industry setting
+ Experience with open science best practices
+ Training in behavioral economics
+ Experience with econometrics
+ Experience with epidemiology
+ Experience with implementation science
+ Experience in interdisciplinary research and working in collaborative teams
+ Experience in the healthcare industry
+ Experience with programming and databases (e.g., Python, SQL)
Education and/or experience:
+ A Ph.D. in economics, decision sciences, marketing, management, psychology, or any other relevant discipline is highly desired, but exceptional candidates with other credentials will be considered
+ Graduate training in non-randomized research methods, including regression discontinuity or propensity matching
+ Minimum 3 years' post-graduate experience managing behavioral or other research projects and supervising or otherwise collaborating actively in a team setting
+ Scholarly publications
Education
Doctoral Degree- (Required), Doctoral Degree-Behavioral Science (Preferred)
Experience
Minimum of 3 years-Related work experience (Required)
Certification(s) and License(s)
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.
We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are Encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.
Assistant/Associate Dean Program Evaluation and Continuous Quality Improvement
Posted today
Job Viewed
Job Description
Position Information
Recruitment/Posting Title
Assistant/Associate Dean Program Evaluation and Continuous Quality Improvement
Department
NJMS-Office of Special Programs
Salary Details
A range of $131582 - $268759
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits
- Life insurance coverage
- Employee discounts programs
Posting Summary
This newly developed role will report to the Executive Vice Dean and will provide services across the medical education continuum including faculty affairs. The Assistant/Associate Dean for Program Evaluation and Continuous Quality Improvement (CQI) will oversee the program development, data collection and analysis to inform and support the improvement of our educational programs along the educational continuum including our faculty and resident development programs. In addition, this role will work closely with other units and individual faculty to promote the scholarship of education across New Jersey Medical School. The successful candidate will be appointed at a faculty rank commensurate with experience and consistent with RBHS guidelines for appointments and promotions.
Specific responsibilities include:
- Oversee all aspects of evaluation of the medical education program, including planning, data collection, compilation/ analysis and interpretation as well as activities related to preparation and dissemination of program evaluation data reports.
- Lead efforts to optimize the survey and assessment systems for evaluation of 1) individual curricular elements and 2) the overall educational programs, for continuous quality improvement of the curriculum and to monitor the impact of curricular changes.
- Collaborate with members of the leadership team to support the development of a comprehensive learner assessment system that will allow for evaluation of learner outcomes along the full extent of the MD-degree program curriculum.
- Direct the continuous monitoring process for compliance with all twelve LCME accreditation standards; serve as a core member of the LCME preparation team.
- Lead efforts with appropriate individuals/groups to develop and implement plans that address any identified areas of potential non-compliance with LCME accreditation standards.
- Serve as a member of the professional development team, working to promote and expand medical education scholarship. As appropriate, apply for and work with other units to apply for grants to support educational scholarship, present work nationally, and publish scholarship that advances education.
- Actively participate in curriculum, student affairs, admissions, and faculty meetings as needed and requested by the Executive Vice Dean.
Posting Number
22FA1014
Posting Open Date
09/07/2022
Posting Close Date
Qualifications
Minimum Education and Experience
- A Ph.D. or Ed.D. is required with focus in educational or psychological measurement preferred. M.D. candidates with relevant experience will also be strongly considered and will be expected to maintain a level of clinical engagement in their respective specialty.
- Previous experience in evaluation is required, preferably in academic/medical institutions.
- Depending on the relevant experience, individual may qualify for the position of Associate Dean.
Required Knowledge, Skills, and Abilities
- Knowledge and expertise in statistical and computer applications in educational assessment.
- Knowledge of organizational behavior as it relates to the various components of individual medical educational entities (e.g., courses, departments, administrators, etc.) preferred.
- Attention to detail, accuracy and organization required.
- Demonstrate a level of scholarship and/or support of grants.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
Standing, sitting, walking, talking and hearing. No special vision requirements. Lifting up to 20 lbs.
Overview
Statement
Posting Details
Special Instructions to Applicants
A cover letter, CV/resume, and list of three references is required at the time of application.
Quick Link to Posting
Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus
Newark (RBHS)
City
Newark
State
NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.
Affirmative Action/Equal Employment Opportunity StatementIt is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address:
Sr Acquisition Program Test & Evaluation Specialist
Posted today
Job Viewed
Job Description
+ Provide T&E technical and engineering support by documenting the review, test concept development, test methodology development, test plan development, test execution, and test reporting, data reduction and analysis, and end-user operational testing.
+ Utilize and apply Design of Experiments methods to plan and conduct test programs.
+ Prepare (or advise others in the preparation of) criteria, computation/analyses, specifications, cost estimates test plans, and technical reports in the specific area of technical expertise.
+ Select and apply engineering techniques and procedures to analyze and evaluate specific problem, data, or other features of the work which are broad in scope and complexity.
+ Review and evaluate the quantity, quality, and overall adequacy of results and conclusions drawn from accomplishment of test engineering tasks.
+ Develop new and innovative approaches to problems encountered, and accomplish assigned tasks with efficiency, timeliness, and thoroughness.
+ Evaluate the configuration, capability, and operational relevance of test environments and ensure they are properly available for the thorough testing of software releases (e.g. fault insertion/fault identification).
+ De-conflict schedule conflicts between multiple releases, providing high quality analysis and recommendations to the program test lead
+ Conduct systems architectural analyses to include system design/design feasibility and state-of-the-art assessment.
+ Divide mission tasking (requirements) or a system concept into the basic building block activities (functions) that must be done and the associated time frame to do the job assigned or envisioned.
+ Compare the ability of existing and/or derivative existing systems to meet mission needs/requirements.
+ Define technical performance/high risk tasks which will be important to measure and control during the course of a development effort.
+ Plan the integration of existing engineering technology into systems.
+ Plan and execute various forms of technology transfer projects, including Cooperative Research and Development Agreements (CRADA), license and/or patent agreements, testing agreements and technical consulting.
+ Assess mission needs and current armament capabilities and deficiencies to determine relative importance and potential payoff of current and proposed statements of technology need.
+ Identify potentially high payoff and technology-deficient areas to emphasize the more important technology developments for potential contribution to future armament capabilities.
+ Support AoAs for aircraft, cruise missile and weapon systems, in compliance with applicable criteria of DoDD 5000.01, DoDI 5000.02 and Office of the Assistant Secretary of Defense (Program Analysis and Evaluation) guidelines.
+ Translate DoD user requirements into system requirements for designing, developing, testing and evaluating systems and subsystems.
+ Maintain the overall system design baseline (architecture and interoperability requirements).
+ Perform reviews, studies, audits, evaluations and analyses and provide technical recommendations to the Government.
+ Review and analyze proposals or modifications for technical feasibility, compatibility and cost effectiveness.
+ Conduct engineering performance, effectiveness, cost effectiveness, cost performance, life cycle cost, producibility, reliability and maintainability, risk and scheduling trade-off studies.
+ Develop monitor, evaluate, and execute systems test plans (such as test and evaluation master plan) and participate in the conduct of system, subsystem and component testing.
+ Conduct analyses of industrial base capabilities and capacities for support of armament and munitions system development and acquisition.
+ Conduct and evaluate time and engineering cost estimates in support of research, development, test, training and acquisition of armament related systems.
+ Prepare and review program peculiar specifications for items, processes and materials.
+ Advise and assist with weapon system contractor-related source selection tasks, to include but not limited to, recommending evaluation areas, factors, sub-factors, elements and criteria; developing and administering source selection documentation; developing, reviewing and finalizing reports, summaries, memorandums and briefings necessary to the source selection process; analyzing and reviewing proposals in a non-decision making role as an advisor (not an evaluator); and preparing responses to the proposals.
+ Develop, prepare, review, and integrate selected milestone review documentation, periodic reports, and certifications as identified in DoDI 5000.02 and AF Supplement 1, and recommend and prepare changes.
+ Implement and execute model based systems engineering.
+ Engineering Products: Develop munition or subsystem proposal technical trade studies and other documentation for integration, upgrade, and modification efforts. Additionally, aircraft integration will be included. Provide independent analysis of system readiness for production and risk management.
+ T&E Products: Develop Test and Evaluation Strategies (TES); Integrated Test Team (ITT) Charters; Test and Evaluation Master Plans (TEMPs); and other unique T&E products as needed.
+ Provide FMS case management support.
At COLSA, people are our most valuable resource and centered at our core value. We invite you to unite your talents with opportunity and be a part of our "Family of Professionals!" Learn about our employee-centric culture and benefits here ( .
Required SkillsRequired Experience
Must have one of the following combinations of education and experience:
+ + Bachelors Degree (or Higher) and 15 years of relevant experience OR
+ Associates Degree and 20 years relevant experience
+ Prior Test & Evaluation (T&E) planning, execution oversight, and analysis experience in a DoD acquisition environment
+ Active Top Secret security clearance
+ U.S. Citizenship required
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. COLSA Corporation is an Equal Opportunity Employer, Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
data analysis
Posted today
Job Viewed
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Proven working experience as a Data Analyst or Business Data Analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Company Details
Data Analysis Specialist
Posted 1 day ago
Job Viewed
Job Description
The Data Analysis Specialist will play a crucial role in leveraging data to drive insights and enhance decision-making processes. We are looking for a detail-oriented individual with a strong background in data science, analytics, and technology.
Key Responsibilities:
- Conduct thorough data analysis and evaluation to support strategic initiatives.
- Collaborate with various teams to understand their data needs and provide data-driven solutions.
- Utilize advanced analytical tools and techniques to interpret complex datasets.
- Prepare reports and visualize data findings for stakeholders.
- Contribute to the development of best practices in data management and analysis.
Areas of Interest:
- Consulting
- Data & Analytics
- Digital & Technology
This is a full-time position that offers a remote work environment. If you are passionate about data and eager to make an impact, we encourage you to apply!
Manager, Data Analysis
Posted 3 days ago
Job Viewed
Job Description
Manager, Data Analysis
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you'll do:
Drive current and future strategy by leveraging your analytical skills
Assist with building and using models to test and validate data
Work with vast amounts of data in new and evolving environments
Be a part of growing and developing our brand in new and emerging markets
Leverage analytics to create a customer experience above our peers
Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
Be a part of the full life cycle of projects and see end results
Collaborate across business units
Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
Experience real work life balance, with little travel involved
On any given day you will be:
Mining data to arrive at specific and crucial information for the organization
Identifying and implementing process, data, and reporting improvements for the organization
Working with large and complex databases containing millions to billions of records
Improving operational efficiencies and effectiveness
Conducting analysis to evaluate processes and tests
Extracting and analyzing data to gauge product offerings
Consulting on the design and implementation of new production and data storage systems
Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 4 years of experience performing professional data analysis work
At least 4 years of experience performing programming
Preferred Qualifications:
Master's Degree in a Science, Technology, Engineering, Mathematics discipline
At least 7 years of professional data analysis work experience
At least 4 years of experience with Python, R, Spark or SQL
At least 1 year of experience in people management
At least 1 years of project management experience
At least 1 year of experience in Tableau
Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $158,400 - $80,800 for Data Analysis Manager Richmond, VA: 144,000 - 164,400 for Data Analysis ManagerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Manager, Data Analysis
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you’ll do:
-
Drive current and future strategy by leveraging your analytical skills
-
Assist with building and using models to test and validate data
-
Work with vast amounts of data in new and evolving environments
-
Be a part of growing and developing our brand in new and emerging markets
-
Leverage analytics to create a customer experience above our peers
-
Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
-
Be a part of the full life cycle of projects and see end results
-
Collaborate across business units
-
Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
-
Experience real work life balance, with little travel involved
On any given day you will be:
-
Mining data to arrive at specific and crucial information for the organization
-
Identifying and implementing process, data, and reporting improvements for the organization
-
Working with large and complex databases containing millions to billions of records
-
Improving operational efficiencies and effectiveness
-
Conducting analysis to evaluate processes and tests
-
Extracting and analyzing data to gauge product offerings
-
Consulting on the design and implementation of new production and data storage systems
-
Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications
-
Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
-
At least 4 years of experience performing professional data analysis work
-
At least 4 years of experience performing programming
Preferred Qualifications:
-
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
-
At least 7 years of professional data analysis work experience
-
At least 4 years of experience with Python, R, Spark or SQL
-
At least 1 year of experience in people management
-
At least 1 years of project management experience
-
At least 1 year of experience in Tableau
-
Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $158,400 - $80,800 for Data Analysis Manager
Richmond, VA: 144,000 - 164,400 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Manager, Data Analysis
Posted 9 days ago
Job Viewed
Job 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, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa
KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".
Follow this link to obtain salary ranges by city outside of CA:
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an 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).
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Manager, Data Analysis
Posted 9 days ago
Job Viewed
Job 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, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa
KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".
Follow this link to obtain salary ranges by city outside of CA:
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an 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).
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Data Analysis Specialist
Posted 9 days ago
Job Viewed
Job Description
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Job Responsibilities:
The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES
Machine Learning Model Updates:
- Update training and test model databases with new or amended synthetic textual and image data.
- Modify and refine machine learning data creation, annotation, and rating guidelines.
- Initiate model training processes using internal tools and command-line interfaces.
- Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.
- Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
- Handle data efficiently, ensuring its integrity throughout the workflow.
- Engage in data relevance tasks, ensuring data sets are aligned with project goals.
- Annotate data accurately, ensuring it adheres to set guidelines.
- Conduct manual quality analysis of model results.
- Recognize error patterns and report anomalies for further investigation.
- Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
- Implement basic quality control measures and ensure the reliability of processed data.
- Utilize intermediate data analysis techniques to extract insights and inform decision-making.
- Arbitrate discrepancies effectively, ensuring consistent data quality.
- Apply basic knowledge of natural language processing and linguistics to data processing tasks.
- Ensure linguistic accuracy in all processed and annotated data.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills
- Familiarity with command-line tools and interfaces.
- Strong analytical skills with the ability to identify patterns and anomalies.
Additional Information:
This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.
Additional Job Details: