Data Quality Analyst
technology venturesReston (VA)
About the role
As a valued contributor to our team, you will be responsible for ensuring the Quality of the data across systems and processes. You will work closely with business stakeholders, data producers, and technical teams to understand business needs, analyze complex data sets, identify key data elements and implement data quality rules and solutions. Your ability to communicate clearly, document processes, and identify trends will be essential in driving data quality standards and supporting data-driven decision-making. THE IMPACT YOU WILL MAKEUnderstand business context, data requirements, and communicate effectively in both written and oral formats. Analyze existing data architecture and flows to identify gaps and improvement opportunities. Perform in-depth data analysis and validation across various data quality dimensions. Design, implement, and monitor data quality rules and metrics. Create DQ metadata and migrate the rules to production Develop and execute test plans, test cases, and validation procedures. Create process flows, reports, and presentations to document insights and recommendations. Collaborate with cross-functional teams to define scope, gather requirements, and support SDLC documentation. Maintain data dictionaries and metadata to ensure consistency and traceability. Identify, assess, and resolve data quality issues, escalating as needed. Utilize tools such as SQL, Excel, Visio, and JIRA to support analysis and reporting. Work in Agile environments to deliver iterative improvements and support continuous data quality initiatives. THE EXPERIENCE YOU BRING
TO THE TEAMMinimum Required Experience:
3-5 years of relevant experience Desired Experience Bachelor’s degree or equivalent Proven experience as a Data Quality Analyst or Data Analyst. Strong SQL and analytical skills with keen attention to detail. Strong documentation skills is a must Proficiency in MS Office Suite (Excel, Power Point, Word, Access), Visio, and JIRA.Experience with data warehousing concepts and relational databases. Excellent communication, documentation, and organizational skills. Familiarity with Agile methodologies and SDLC processes.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this