Data Analyst

Apply now: Data Analyst, location is Onsite 4 days/week in Houston, TX. The start date is ASAP for this contract through end of year position with potential extension or conversion.

Job Title: Data Analyst

Location-Type: Onsite 4 days/week in Houston, TX

Start Date Is: ASAP

Duration: Contract through end of year, with potential extension or conversion

Compensation Range: $54-57/hr

Benefits: Eligible for Health, Dental, Vision, 401K

Not eligible for Visa sponsorship

Job Description: The Data Analyst supports enterprise data initiatives through data analysis, mapping, lineage documentation, and metadata management across modern data platforms.

Day‑to‑Day Responsibilities

• Create and maintain source‑to‑target mapping documents for enterprise data assets
• Document data flows, lineage, relationships, and dependencies across systems
• Use SQL in Snowflake to analyze datasets for completeness, quality, and business understanding
• Validate data transformations and downstream reporting against documented mappings
• Publish and maintain metadata, glossary terms, and data definitions in Atlan
• Partner with business stakeholders, data engineers, and architects to align documentation with data models
• Support governance, audit readiness, and self‑service data discovery through accurate metadataContribute to standards and best practices for data documentation and metadata management

Requirements

Must‑Haves

• Bachelor's degree in Analytics, Information Systems, Computer Science, or a related field
• Strong SQL skills with hands‑on experience querying Snowflake
• Experience creating data mapping documents, lineage, and technical data documentation
• Familiarity with metadata management and data catalog concepts
• Strong analytical, documentation, and communication skills

Nice‑to‑Haves

• Experience with Atlan or similar tools such as Collibra or Alation
• Experience working with ELT pipelines and Snowflake data warehouses
• Familiarity with data governance, data quality, or observability practices
• Exposure to AWS‑based data ecosystems
• Experience supporting enterprise or ERP‑driven data platforms
• Experience in ETRM and FP&A modeling for Power and Gas

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