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Business Data Analyst Python & PL/SQL

Artech LLC

Columbus OH, OH

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JOB DETAILS
SALARY
$35–$43 Per Hour
SKILLS
Access Control, Analysis Skills, Artificial Intelligence (AI), Business Support, Data Analysis, Data Mapping, Data Migration, Data Modeling, Data Profiling, Data Quality, Data Sets, Decision Support, Finance, Identify Issues, Oracle PL-SQL, Pattern Analysis, Product Support, Python Programming/Scripting Language, Regulatory Reports, Risk Analysis, Root Cause Analysis, SQL (Structured Query Language), Test Data, Use Cases, Warehousing
LOCATION
Columbus OH, OH
POSTED
2 days ago
Request ID: 94508-1
Title: Business Data Analyst – Python & PL/SQL
Locations: Remote: Columbus OH
Duration: 6+ Months with Possible Extension.
Pay Range: $35 -$43/Hour on W2/C2C (All inclusive)
 
Job Descriptions:
Skills: Python, PL/SQL, Data Concepts & Data Modelling
Experience Required: 6-8 Years
 
Role 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 Responsibilities
1. 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

About the Company

A

Artech LLC

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