Business Data Analyst Python & Pl/Sql

Request ID: 94508-1 Title: Business Data Analyst – Python & PL/SQLLocations: Remote: Columbus OHDuration: 6+ Months with Possible Extension. Pay Range: $35 -$43/Hour on W2/C2C (All inclusive)Job Descriptions:Skills: Python, PL/SQL, Data Concepts & Data ModellingExperience Required: 6-8 YearsRole Overview: Business Data Analyst plays a hands-on role in understanding| modeling| and translating complex data from multiple source systems into trusted| analytics-ready data products that support business decision-making| regulatory reporting| and AI/analytics use cases.Key Responsibilities1. Data Analysis & Modeling

• Analyze complex data from multiple source systems to understand entities| relationships| business rules| and usage patterns (e.g.| policy| claims| finance| partner data).
• Contribute to conceptual and logical data models for key domains| working in partnership with data architects and data modelers.
• Recommend modeling patterns (e.g.| relational| dimensional) appropriate for warehouses| marts| and operational data stores| ensuring models are usable by downstream analytics and AI workloads.
• Review and provide feedback on model changes| ensuring that naming| keys| cardinality| and business definitions are consistent and well documented.

2. Data Profiling & Data Quality

• Perform detailed data profiling on new and existing data sets (nulls| distributions| outliers| code sets| pattern and length analysis) using SQL and other tools to identify issues and opportunities.
• Summarize profiling results in clear| consumable formats (tables| visuals| narratives) that explain data quality risks and their impact on business value and delivery scope.
• Partner with data stewards| product owners| and engineers to translate profiling findings into data quality rules| checks| and monitoring requirements for pipelines and data products.
• Support Trusted Data / AI-ready objectives by ensuring that quality expectations| thresholds| and controls are explicitly defined and testable for the assets you support.

3. Source Target Mapping & Design

• Lead or co-lead source target mapping for new data products and migrations| especially where legacy systems and cross-domain data need to be reconciled.
• Validate mapping choices against business requirements| data types| formats| and constraints; identify and document transformation| derivation| and standardization logic.
• Define and document completeness and reconciliation approaches (e.g.| row counts| hash totals| key coverage) that engineers and testers can automate in pipelines and tests.
• Work closely with data engineers to ensure mappings are feasible| performant| and aligned to data golden-path patterns from raw harmonized curated zones.

4. Collaboration

• Delivery & Run Participate actively in backlog refinement| design reviews| and sprint ceremonies to clarify data requirements| acceptance criteria| and non-functional needs (e.g.| latency| freshness| lineage| access controls).
• Provide clear analytical input to estimates| tradeoffs| and risk assessment for stories and epics involving data sourcing| modeling| and mapping.
• Support testing by defining test data needs| validating mapping implementations| and reviewing defects related to data issues (values| joins| business rules).
• Contribute to incident/root-cause analysis for data issues and partner with engineering teams on durable fixes (not just one-off corrections).

5. Governance| Metadata & Documentation

• Create and maintain high-quality documentation for data definitions| mapping

Company Benefits & Culture

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits

Appreciate your quick response and please feel free to reach me out for any query you may have. Thanks