Data Analyst - Requirements & Data Quality Support

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.

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