Data Analyst – Requirements & Data Quality Support
- Salary
- $105K–$110K
- Hiring from
- United States
- Work type
- Remote
- Posted
613,823 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
ECS is seeking a Data Analyst to work remotely.
This role supports the broader data team by gathering business requirements, documenting processes and decisions, and helping clean and standardize data. The person in this role acts as a connector between business stakeholders and the technical team, making sure requirements are captured clearly and data is accurate and usable.
Key Responsibilities
- 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.
Salary Range: $105,000 - $110,000
General Description of Benefits
- 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
