Senior Data Platform & Integration Analyst

On-Demand Group; BLOOMINGTON (MN); On-site; USD 81,000 - 96,000; Part time

Benefits offered by this job

Healthcare

Dental insurance

Vision insurance

Job summary

On-Demand Group is seeking a Data Business Analyst to support a high-impact enterprise data platform integration initiative in Bloomington, MN. The ideal candidate bridges business and technical teams, standardizes data across platforms, and brings clarity to complex data environments.

You will define data integration approaches, document data definitions, and contribute to migrations while producing BRDs, mappings, and process flows.

Qualifications

• Proven experience as a Data Business Analyst in enterprise environments.
• Strong ability to query and analyze data using SQL.
• Solid understanding of ETL/ELT concepts.
• Data warehousing and modern data platforms.
• Familiarity with Medallion architecture and semantic models.
• Strong requirements gathering and documentation skills.
• Excellent communication skills bridging business and technical stakeholders.
• Comfortable in ambiguous, fast-changing environments.

Responsibilities

• Partner with business and technical teams to integrate and standardize data across platforms.
• Analyze and document differences in data definitions (e.g., passenger, revenue, operational metrics).
• Support data platform migrations, application changes, and integration initiatives.
• Query and analyze data to identify discrepancies, gaps, and inconsistencies.
• Translate business needs into clear, actionable requirements for data engineering teams.
• Produce BRDs, source-to-target mappings, and process flows.
• Help standardize and govern data across platforms during migration.

Skills

SQL

Data analysis

Requirements gathering

Documentation

Stakeholder communication

Job description

On-Demand Group is seeking a Data Business Analyst to support a high-impact enterprise data platform integration initiative in Bloomington, MN. The ideal candidate bridges business and technical teams, standardizes data across platforms, and brings clarity to complex data environments.

You will define data integration approaches, document data definitions, and contribute to migrations while producing BRDs, mappings, and process flows.