Data Analyst – Requirements & Data Quality Support
Ecsfederal · Work from home, VA, United States · Remote
Strong hiring record · median 32 days open
Hiring signal
Actively hiring
Posted 6 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 6 days ago
- Still listed on the employer's own board
- Publishes a salary range
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
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