> Markdown version of [/jobs/ext/4317679-data-analyst-requirements-data-quality-support](https://www.wearedevelopers.com/jobs/ext/4317679-data-analyst-requirements-data-quality-support). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Requirements & Data Quality Support - **Company:** Everforth Ecs - **Location:** United States (Remote available) - **Salary:** $105,000 - $110,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Validation, Data Cleansing, Data Deduplication, Python (Programming Language), SQL Databases - **Published:** October 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=61ab7cc9d95c27bb ## About the Role * Strong skills in gathering and documenting business requirements * Experience with data cleansing techniques (deduplication, standardization, validation) * Proficiency in Excel and SQL; familiarity with Python is a plus * Excellent written communication skills for clear documentation * Strong attention to detail and organizational skills * Ability to work well with both business stakeholders and technical teams ## Description * Requirements Gathering Meet with business stakeholders to understand their data needs, pain points, and goals. Translate these conversations into clear, actionable requirements for the data team. * Documentation Create and maintain clear documentation of requirements, processes, decisions, and data workflows so the whole team has a shared reference. * Data Cleansing Support Help identify data quality issues - duplicates, missing values, inconsistent formatting - and support the broader team in cleaning and standardizing datasets. * Stakeholder Communication Act as a liaison between business users and technical teams (Data Scientists, Enterprise Architects, Engineers), making sure both sides understand each other. * Data Validation Check cleaned and transformed data against business requirements to confirm accuracy before it's used in reporting or architecture work. * Process Improvement Spot recurring data issues or gaps in documentation, and recommend better processes to prevent them going forward. * Reporting Support Assist with building simple reports or summaries that help stakeholders and leadership track data quality and project progress.