Data Quality Analyst Job Description

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Data Quality Analyst Job Description

Job descriptions
Information Technology

Job summary 1

Working closely with the Management team, the Data Quality Analyst will provide quality assurance oversight (data error detection and correction) on business processes where data is collected, stored, transformed, or used. Specifically, you will have the opportunity to assist the team in integrating data assets from a variety of systems and sources (external and internal) into the Company’s systems, ensuring and monitoring the final quality of our internal data stores and flows. Your strong data analysis skills will ensure clean data that can be enacted upon by analytic systems and application code, thereby maintaining our high-quality standards for products and services.

Duties & Responsibilities 1

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Analyze data for compliance to design specification (source-to-target) and expected/anticipated behaviors, identifying quality issues and recommending solutions
Actively communicate to internal/external/stakeholders/customers quality issues about the way data is collected, stored, processed, or used
Establish, monitor, and report on Service Level Agreements of external data assets with the outsourcing vendor as it relates to quality assurance and production performance.
Perform audits, as required, to ensure quality processes exist and are being adhered to.
Communicate the pervasiveness of data quality problems and their potential impacts and take the lead in resolving them via data integration and/or business process improvement.
Investigate, troubleshoot, and document data issues from internal and external customers
- Assist other departments in the design of quality edit checks, test plans, etc. to ensure data quality objectives are met, as well as participate in cross-functional teams and development/improvement task forces.
- Ensure compliance with the company’s data privacy policy
- Manage documentation related to data quality (data standards, definitions, DQA documents such as checklists, guidelines, manuals, templates, forms, etc.)

Requirements & Skills 1

Knowledge of research methods, statistical or data analysis, and strong analytical/problem-solving and decision-making skills
Familiarity with the Appraisal Management and Real Estate industry, and how data in these areas is defined and used
Data Warehouse knowledge/experience
- Strong verbal and written communication
- Good project/time management and teamwork skills
- Detail oriented

Job summary 2

The Data Quality Analyst is responsible for developing and delivering data solutions to accomplish technology and business goals. Key responsibilities include data governance tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They work with stakeholders, Product Owners, and Software Engineers to aid in the governance of data including contributing to efforts to capture and manage the control inventory, measuring the effectiveness of controls, managing data quality requirements to resolve DQ gaps/issues, and managing all forms of business, technical and operational metadata.

Duties & Responsibilities 2

Work with technical and operational subject matter experts to understand and collect metadata about systems, processes, reports, controls, data movement, and business terminology.
Document inventory of current state data quality controls
Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues.
Contribute to agile story refinement/defining requirements.
Participate in estimating work necessary to realize an agile story/requirement through the delivery lifecycle.
- Work across development teams to understand and aid in data management and governance requirements.
- Build / improve data governance processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management.
- Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.

Requirements & Skills 2

Job summary 3

The Data Quality Analyst provides research support with a focus on quality assurance, quality control, and process improvement. Functions of еру Data Quality Analyst include protocol subject registration and randomization, clinical research auditing, data and safety monitoring, quality control, participation in general clinical trials education, and committee management. The Data Quality Analysts work closely with investigators, research teams, and biostatisticians to ensure the integrity and quality of clinical trial data. Data Quality Analysts monitor the timely submission and completeness of clinical trial data entry, perform edit checks on the data, issue and resolve data queries, and perform other quality control and data cleanup tasks.

Duties & Responsibilities 3

Requirements & Skills 3

Bachelor of Science or Bachelor of Arts with scientific specialty or another relevant major.
Prior experience working in a medical or scientific research setting or comparable data-oriented role is required. Greater than 1 year of relevant experience is preferred.
Ability to communicate clearly and effectively with written and verbal English.
- Complex problem solving skills.
- An ability to work independently.
- Knowledge of clinical trial regulations and procedures, data management processes, and database-related technical skills.

Job summary 4

The Data Quality Analyst (DQA) will ensure compliance with established data quality procedures while reporting and developing new data quality measures. The DQA will create, document, and maintain business processes and procedures and collaborate with team members to improve workflows and streamline processes. This person should be curious, familiar with data quality methods of analysis, inquisitive about the nuances of the data in our data warehouse, and outspoken in a way that will influence and create change and improvements in both business processes and analytics capabilities.

Duties & Responsibilities 4

Requirements & Skills 4

5+ years of experience in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Science, or Healthcare Administration
3+ years using SQL to query databases and reporting results in a summarized format
2+ years of experience analyzing data and finding anomalies using strong analytic and organizational skills, with the ability to influence change
2+ years of experience working in Excel using formulas, pivot tables, and graphs
- 2+ years of investigating and creating business processes and system flow using Visio or similar business process tools
- Exposure to business intelligence and visualization platforms such as Cognos or Tableau
- Ability to query systems using SQL, abstract data, and summarize and present data

Job summary 5

We are looking for dynamic and passionate individuals to join our Data team as Data Quality analysts to help develop and grow our data and insights offering. The team focus is on the complete data quality cycle, from logging and auditing the receipt and processing of data to ensuring data deliverables are of the highest quality. You will be responsible for the execution of data quality routines. This individual will proactively monitor, measure, analyze, execute, track, and report on data quality issues. The Data Quality Analyst will interact with other teams to resolve data quality-related issues.

Duties & Responsibilities 5

Requirements & Skills 5

Job summary 6

A Data Quality Analyst will monitor the quality of data from organizations to make informed decisions. They examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs. Evaluates, implement, and maintain assigned business systems and applications. Additionally, it serves as a key resource for an assigned customer area to understand and explain business data quality analytics and technical issues and to provide viable analytical solutions.

Duties & Responsibilities 6

Requirements & Skills 6

Proficiency in SQL & Tableau are required
Familiarity with statistical measures is strongly preferred - 3 years of work experience required
Knowledge of Cerner, Athena, Genesys, Teletracking & Salesforce data analytics is strongly preferred
Database development and management are strongly preferred
- Experience in working in Google productivity applications is strongly preferred - 5 years of experience
- Experience in working with Google Cloud Data Analytics is desirable
- A bachelor's degree in computer science or a related discipline, teamed with several years of experience in data quality-analysis environments.

Job summary 7

The Data Quality Analyst is responsible for evaluating and ensuring data quality across Company’s various data sources. In addition, the Data Quality Analyst is responsible for planning and executing data tests, evaluation of change over time, and evaluation of new data. This includes studying and evaluating current reporting, utilizing and improving current data evaluation methods, writing test plans/cases, planning the test schedules, coordinating test resources, executing test cases, verifying test results, and maintaining a reusable library of test cases to support future testing.

Duties & Responsibilities 7

Review and perform quality checks on existing data sources.
Review and perform quality checks of data performance in modeling and scoring.
Evaluate the quality of licensed and acquired data.
- Regular review of all standardized reporting about contact data and attribute data. Work with other analysts/teams as needed to accomplish the goal of assessing data quality. Analysis methodology should include standard analysis as well as the use of the Company's proprietary methods of analysis.
- Making recommendations to data owners about the cadence of data build & rebuild based on analysis, drift evaluation, and other relevant analysis.
- Study and test new ways to develop data using current tools, including partnering with owners of Wiland proprietary modeling platforms, to produce either (a) current data/datasets using improved methods or (b) new data/datasets using the established, performant methods or new methods.

Requirements & Skills 7

Bachelor’s Degree or higher in business or a quantitative discipline (Business Data Analytics, Data Analysis, Statistics, Economics, Mathematics, etc.) or equivalent work experience. Must be able to produce college transcripts showing a minimum 3.0 GPA.
2+ years of professional experience in applying data analysis in a business setting, with a strong preference given to experience in direct and/or digital marketing. Experience with cooperative databases, circulation planning, advertising agencies, or brokers is a plus.
Experience with predictive modeling methods is a plus.
- Solid quantitative and analytical aptitude and the ability to apply those concepts in a business setting, identifying relevant business questions and conceptualizing quantitative solutions (key measures, reporting, analysis, etc.).
- 2+ years of experience with Unix / Linux, MySQL, or another relational database, as well as with R, Python, or related statistical packages, including extensive programming skills.
- 1+ years’ experience with databases, data access tools, and SQL.

Job summary 8

The Data Quality Analyst provides data management and analysis support in the development of company-wide program-specific performance measures. Examines complex data and turns it into information and insights to inform business decisions. Monitors performance and quality control plans to identify issues or ways to improve systems and database designs. Participates in regulatory and quality improvement projects, guiding data collection, analysis, and reporting. Collaborates with cross-functional teams to identify areas where improvements in data quality can be made.

Duties & Responsibilities 8

Requirements & Skills 8

Minimum Required Bachelor's Degree in mathematics, analytics, or related field
- Minimum Required Four years of job-related experience
- Minimum Required Knowledge of theories, principles, and methods utilized in the development of quality improvement metrics
- Or an equivalent combination of education and experience

Job summary 9

We are currently seeking a Data Quality Analyst for a full-time opportunity with an innovative company.

Duties & Responsibilities 9

You will be responsible for tracking, mining, and analyzing data to design fraud detection strategies
Serve as a client-facing data quality SME
Monitor and track data issues and perform root cause analysis

Requirements & Skills 9

3+ years of Data Quality experience
- 3+ years in the Market Research Industry
- Advanced Excel skills, any knowledge of SQL or Python is a plus
- Strong critical thinking skills

Job summary 10

The Data Quality Analyst (DQ Analyst) is responsible for ensuring the integrity of data used to support/submit for the various Quality Metrics programs. Responsibilities include remaining current with quality metrics measure specifications, data collection, data analysis, generation of reports, and providing relevant feedback for improved outcomes and better data capture.

Duties & Responsibilities 10

With guidance from Management manage Quality Metric Program rates, including but not limited to individual provider rates and the overall analysis and/or trending of data.
Maintain a thorough understanding of Quality Metrics Programs and the Registry used to monitor patients enrolled in quality incentive programs.
Serves as a liaison for incoming patient calls, regarding questions or assisting with scheduling appointments.
Provide quality reports as requested and consistently provides relevant feedback for improved outcomes.
Clinical teams by assisting with measure-related questions and or training on the quality registry.
Be at work and be on time.
- Follow company policies, procedures, and directives.
- Interact positively and constructively.
- Prioritize and multitask.

Requirements & Skills 10

Minimum 2 years experience in a managed care organization.
Experience working with electronic medical records and with patients in a physician practice preferred. Must demonstrate excellent organization skills, attention to detail strong analytical skills, and critical thinking.
Effective oral and written communication skills.
- Must be able to multi-task and work independently with good judgment within the area of responsibility.
- Bachelor’s Degree, preferred.
- High School diploma, GED, or Business Related Course, required.

Frequently asked questions

What does a data quality analyst do?

A Data Quality Analyst is responsible for ensuring the accuracy, completeness, consistency, and reliability of data used by an organization. The job duties of a Data Quality Analyst may include:

Data Analysis: Analyzing data to identify issues, anomalies, or errors that may affect data quality.

Data Profiling: Profiling data to understand data structure, data relationships, and data dependencies.

Data Cleansing: Cleaning and standardizing data to ensure consistency and completeness.

Data Validation: Validating data to ensure that it meets defined quality standards, such as accuracy, completeness, and reliability.

Data Monitoring: Monitoring data quality on an ongoing basis to identify trends and issues that may affect data quality.

Data Governance: Developing and implementing data governance policies and procedures to ensure that data is managed effectively and efficiently.

Data Integration: Integrating data from various sources to ensure that data is accurate, complete, and consistent.

Communication: Communicating with stakeholders, such as data owners, data users, and IT teams, to understand data quality issues and implement solutions.

Reporting: Providing regular reports on data quality metrics, data quality trends, and data quality issues.

Continuous Improvement: Continuously improving data quality processes, tools, and methodologies to enhance data quality and ensure that data meets organizational needs.

Overall, the role of a Data Quality Analyst is critical in ensuring that data used by an organization is accurate, complete, and reliable. This requires a strong understanding of data quality concepts, data governance principles, and data management processes, as well as strong analytical, communication, and problem-solving skills.

What are the skills of a data quality analyst?

A Data Quality Analyst requires a combination of technical and soft skills to ensure that data used by an organization is accurate, complete, and reliable. Here are some of the key skills required for a Data Quality Analyst:

Data Analysis: The ability to analyze data to identify issues, anomalies, or errors that may affect data quality.

Data Cleansing: The ability to clean and standardize data to ensure consistency and completeness.

Data Validation: The ability to validate data to ensure that it meets defined quality standards, such as accuracy, completeness, and reliability.

Data Profiling: The ability to profile data to understand the data structure, data relationships, and data dependencies.

Data Governance: Knowledge of data governance policies and procedures to ensure that data is managed effectively and efficiently.

Technical Skills: Familiarity with data management tools and technologies, such as data profiling tools, data cleansing tools, and data integration tools.

Attention to Detail: The ability to pay close attention to detail to ensure that data quality is accurate and error-free.

Problem-Solving: The ability to identify and solve problems related to data quality issues.

Communication: Strong communication skills to effectively communicate with stakeholders, such as data owners, data users, and IT teams, to understand data quality issues and implement solutions.

Continuous Improvement: The ability to continuously improve data quality processes, tools, and methodologies to enhance data quality and ensure that data meets organizational needs.

Overall, a Data Quality Analyst requires a combination of technical expertise and soft skills, such as attention to detail, problem-solving, communication, and continuous improvement, to effectively ensure data quality and support organizational decision-making.

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