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Senior Data Quality Analyst Jobs in Rochester, NY

... data quality concerns in collaboration with senior technical staff. • Independently operate, maintain, and perform routine troubleshooting on analytical instrumentation, including gas ...

Senior Quality Engineer

Rochester, NY · On-site

$87K - $118K/yr

Take ownership of significant quality issues and drive resolution through structured problem-solving data analysis, escalation, and corrective action follow-up. * Serve as a senior cross-functional ...

Sr Spec, Quality Engrg

Rochester, NY · On-site

$84K - $156K/yr

Focus on problem prevention, supplier quality control, continuous improvement, and data reporting ... Analysis. In compliance with pay transparency requirements, the salary range for this role in New ...

As a Senior Manager, you will utilize your skills and professional network to deliver quality ... data quality and integrity across analytics frameworks - Utilizing programming languages and ...

New

QA Analyst Posting Start Date: 8/12/26 Division: QSE Location Type: On-Site Pay Min: 25.00 USD Pay ... Conducts data analysis to identify trends and patterns. Leads continuous improvement efforts and ...

... senior-level resource for projects and providing strategic oversight of projects assigned to the ... Guide the analysts in preparing reports, analyzing data, and presenting revenue cycle findings to ...

New

QA Analyst Posting Start Date: 8/18/26 Division: QSE Location Type: On-Site Pay Min: 25.00 USD Pay ... Conducts data analysis to identify trends and patterns. Leads continuous improvement efforts and ...

Sr. Financial Analyst, Americas GBS

Victor, NY · On-site

$82K - $102K/yr

This role consolidates data from multiple systems, supports regional reporting, and develops ... The Senior Financial Analyst will lead the preparation and consolidation of regional cash forecasts ...

... standards, and clinical trial data analysis. The ideal candidate will collaborate with ... Perform quality control and validation of statistical programming outputs to ensure compliance with ...

... standards, and clinical trial data analysis. The ideal candidate will collaborate with ... Perform quality control and validation of statistical programming outputs to ensure compliance with ...

... standards, and clinical trial data analysis. The ideal candidate will collaborate with ... Perform quality control and validation of statistical programming outputs to ensure compliance with ...

... standards, and clinical trial data analysis. The ideal candidate will collaborate with ... Perform quality control and validation of statistical programming outputs to ensure compliance with ...

Showing results 41-60

Senior Data Quality Analyst information

See Rochester, NY salary details

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How much do senior data quality analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for senior data quality analyst in Rochester, NY is $40.88, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $53.61 per hour, depending on experience, location, and employer.

What does a senior data quality analyst do?

A Senior Data Quality Analyst is responsible for ensuring the accuracy, integrity, and consistency of data within an organization. They design and implement data quality processes, perform data profiling and cleansing, and identify data quality issues. Additionally, they collaborate with other teams to establish data standards, develop metrics, and recommend improvements to data management practices. Their work helps businesses make informed decisions based on reliable and high-quality data.

What does a senior data quality analyst do?

As a senior data quality analyst, your job is to monitor complex databases of information and identify valuable insights that are useful for making business decisions. Your duties include performing data monitoring, verifying the integrity of the database, and implementing error detection to find any potential issues. You typically use a variety of technologies to perform your duties and may be responsible for leading a team of data quality analysts at larger organizations. As a senior member of the group, you may also present your findings to the Board of Directors, various executives, or individual managers.

What are the key skills and qualifications needed to thrive as a senior data quality analyst, and why are they important?

To thrive as a Senior Data Quality Analyst, you need strong analytical skills, deep knowledge of data management principles, and experience with data profiling and cleansing, often supported by a degree in computer science or a related field. Familiarity with data quality tools (such as Informatica, Talend, or IBM InfoSphere), SQL, and data governance frameworks is typically required, along with relevant certifications like CDMP. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure data integrity, support business decision-making, and drive organizational success through reliable information management.

How does a senior data quality analyst typically collaborate with other departments to ensure data integrity?

As a Senior Data Quality Analyst, you will regularly work with cross-functional teams such as data engineering, business intelligence, and operations to identify, investigate, and resolve data quality issues. This involves attending meetings to understand data requirements, communicating data discrepancies, and establishing data validation protocols. Building strong relationships with stakeholders is crucial to proactively address potential data concerns and implement best practices. Effective collaboration ensures that data standards are consistently met and that business decisions are based on reliable information.

What is the difference between Senior Data Quality Analyst vs Data Analyst?

AspectSenior Data Quality AnalystData Analyst
Required CredentialsBachelor's degree, certifications in data quality or data management (e.g., CDMP)Bachelor's degree, often in statistics, mathematics, or related fields
Work EnvironmentFocus on data quality, validation, and governance within data teamsData interpretation, reporting, and visualization across departments
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcareCommon across various industries for business insights

The Senior Data Quality Analyst specializes in ensuring data accuracy, integrity, and compliance, often working closely with data governance teams. In contrast, a Data Analyst focuses on analyzing data to generate reports and support decision-making. While both roles require strong analytical skills, the Senior Data Quality Analyst emphasizes data quality management, making it more technical and compliance-oriented.

What are the most commonly searched types of Data Quality Analyst jobs in Rochester, NY?

The most popular types of Data Quality Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Senior Data Quality Analyst jobs?

Cities near Rochester, NY with the most Senior Data Quality Analyst job openings:

Infographic showing various Senior Data Quality Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,039 per year, or $40.9 per hour.

Healthcare Statistical Analyst I/II/III/IV (VBP)

Lthc

Rochester, NY

Full-time

Medical, Dental, Retirement

Posted 21 days ago


Job description

Job Description:

Summary:

The Healthcare Statistical Analyst performs technical services within the actuarial or risk adjustment department that support of the Health Plans operations which monitors and maintains financial solvency through the understanding of current data & environment and modeling of future events. This role interacts with internal and external partners and Regulatory agencies. This role monitors trends, bring forward opportunities and insights found in the data to the applicable audiences. This position supports leadership by providing statistical information and analysis needed to make informed decisions, identifies trends, and utilizes data mining techniques and development of advanced predictive models.

Essential Accountabilities:

All Levels

  • Updates existing and aids in the creation of new analysis pertaining to benefit designs, claims experience, Value Based Payment (VBP) programs and valuation of internal and externally led claims savings and risk adjustment initiatives.

  • Maintains existing processes including but not limited to reserve programs, pricing files, benefit relativity tables, trend analysis, risk score analysis, VBP and vendor financial settlements, ROI work. Creates and maintains appropriate documentation for work.

  • Assists with the development of projections (financial, claims, risk score, trend, utilization, savings, etc.), unpaid claim liability estimates and identification of areas for savings.

  • Compiles and analyzes data to draw conclusions, support data quality, and provide recommendations.

  • Proposes and assists in the development of process improvements utilizing system and software applications to full potential and participates in activities and projects as directed.

  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.

  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.

  • Regular and reliable attendance is expected and required.

  • Performs other functions as assigned by management.

Level II (in addition to Level I Accountabilities)

  • Conducts analyses for and communicates with other departments on various initiatives.

  • Assists the development of analyses concerning complex issues & trends, coordinates with staff

  • Participates in reviewing and evaluating emerging trends in healthcare, establishing reserves and producing financial analysis.

  • Recommends appropriate applications and process changes to existing and new analysis.

  • Reconciles Data Warehouse data with corporate financials or encounter submissions and identifies and develops corrective action with regards to Data Warehouse integrity issues.

  • Initiates and leads efforts to continually improve data capabilities and quality of department analysis and reporting.

  • Independently ideates process improvements and recommends changes in process to direct leadership.

  • Creates and maintains documentation related to data analysis, data models, and data mapping which includes creating technical documentation, process documentation and training materials.

  • Draws together facts and input from a variety of data sources.

Level III (in addition to Level II Accountabilities)

  • Reviews and ensures pricings are consistent with established profitability targets for relevant business segments.

  • Researches and analyzes data across complex data ecosystem including operational and analytical data platforms to develop insightful and effective reporting and dashboards.

  • Demonstrates keen judgment on involved and complex assignments; devises methods and procedures to meet unusual conditions and makes original contributions to the solution of very difficult problems. Problem solving is complex and involves critical issues.

  • Develops analyses concerning complex issues and trends, coordinating with several different disciplines and staff.

  • Leads and supports departmental projects.

  • Provides effective technical advice and support to assist management in meeting corporate goals and identifying strategy. Involves other departmental areas as needed.

Level IV (in addition to Level III Accountabilities)

  • Recommends departmental annual performance goals.

  • Offers strategic recommendations on the analysis of data, data collection, and integration using the knowledge of best practices and business requirements.

  • Conduct exploratory, descriptive, and inferential data analysis using statistical and machine learning techniques.

  • Represents the Department on special projects involving other areas of the company or external constituents.

  • Partners and leads projects including stakeholders from a variety of departments.

  • Interprets how regulatory changes affect Health Plan and develops impact analyses.

  • Collaborates with senior leadership in meeting corporate goals and strategic decision making.

Minimum Qualifications:

NOTE: We include multiple levels of classification differentiated by demonstrated knowledge, skills, and the ability to manage increasingly independent and/or complex assignments, broader responsibility, additional decision making, and in some cases, becoming a resource to others. In addition to using this differentiated approach to place new hires, it also provides guideposts for employee development and promotional opportunities.

All Levels

  • Bachelor's Degree in Math, Statistics, Economics, Medical Informatics, Actuarial Science or relevant field required.

  • One (1) year of related experience preferred.

  • Strong analytical skills, verbal and written communication skills.

  • Strong interpersonal skills with demonstrated ability and willingness to collaborate with other team members.

  • Ability to prioritize, multitask, and maintain multiple simultaneous projects.

  • Intermediate technical skills including proficiency in Microsoft Office Suite

  • Programming skills in SQL, SAS, VBA, or similar programming language is preferred.

Level II (in addition to Level I Qualifications)

  • Two (2) years related experience.

  • A strong understanding of health insurance & health insurance products, managed care, accounting principles, the competitive market, the legislative environment, and any regulatory issue affecting the Health Plan.

  • Ability to work independently, with high level of self-motivation to improve processes.

  • Proficient programming skills in SQL, SAS, VBA, or similar programming language preferred.

  • High level understanding of non-Actuarial functions such as Rating & Underwriting, Finance, Provider Contracting, Analytics & Data Technology, Population Health Engagement, Marketing & Sales, etc., and how they impact Health Plan operations and financials.

Level III (in addition to Level II Qualifications)

  • Four (4) years of related experience.

  • Ability to perform complex modeling independently.

  • Strong ability to recognize and automate repetitive tasks.

  • Ability to communicate analytical findings at the appropriate level of detail for receiving audience.

  • Demonstrated experience leading projects or process improvement initiatives.

  • Ability to write and communicate complex concepts.

Level IV (in addition to Level III Qualifications)

  • Six (6) years related experience.

  • Advanced understanding of non-Actuarial functions such as Rating, Underwriting, Accounting, Provider Contracting, Network Management, Product Development, Medical Management, etc., and how they impact Health Plan operations and financials.

  • Advanced ability to independently communicate analytical findings at the appropriate level of detail for receiving audience.

  • Strong ability to independently write, communicate and present complex concepts to both actuarial and non-actuarial audiences.

Physical Requirements:

  • Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.

  • Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I: Grade E1: Minimum $62,400 - Maximum $84,000

Level II: Grade E3: Minimum $62,400 - Maximum $106,929

Level III: Grade E5: Minimum $71,880 - Maximum $129,384

Level IV: Grade E6: Minimum $79,068 - Maximum $142,322

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.