Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 26 week(s)
Skills
SQL
Job Details
Senior Data Analyst
W2 Contract
Hybrid (3 days on site 2 days remote)
Pittsburgh/Dallas/Cleveland
Key Responsibilities:
W2 Contract
Hybrid (3 days on site 2 days remote)
Pittsburgh/Dallas/Cleveland
Key Responsibilities:
- Conduct UAT (User Acceptance Testing), exploratory data analysis, and root cause investigations.
- Gather and translate complex business requirements into technical documentation and logic.
- Develop lightweight coding solutions in SQL, Python, and/or Spark to support business rules and data transformations.
- Partner with business and technology teams to prototype and implement data-driven solutions into production environments.
- Document data flows, data assets, and process/procedural materials for ongoing reference.
- Collaborate with product owners, analysts, and developers in Agile project teams.
- Provide ad hoc analysis and reporting to support business operations and decision-making.
- Proactively identify and resolve data quality issues.
- Create visualizations and dashboards using tools like Tableau, Power BI, or Elastic Stack to communicate insights clearly.
- Support process automation efforts using tools like Oozie, Slurm, or similar job schedulers.
- Strong business acumen and communication skills with a technical problem-solving mindset.
- Proficient in SQL, Python, and/or Spark; experience with Hadoop, Teradata, and Oracle.
- Familiarity with unstructured data, data warehouse concepts, and ETL workflows.
- Intermediate Excel skills, including pivot tables and data functions.
- Experience in data visualization tools (Tableau, Power BI, Elastic Stack).
- Ability to document and explain data flows and business logic to technical and non-technical audiences.
- Understanding of Agile methodology, Jira, Confluence, and Git-based version control.
- Experience in business analytics, particularly in a financial services or retail lending environment (knowledge of loans, deposits, etc.).
- Excellent time management, organization, and critical thinking skills.
- Experience with Iceberg tables and data lake formats.
- Familiarity with metadata documentation or data catalog tools.
- Previous exposure to Retail Banking or Lending domains.
- Knowledge of scheduling/automation tools like Oozie or Slurm.
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