Senior Data Analyst - Wealth Management & Data Integration

BBI

St. Louis (MO)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

BBI in St. Louis seeks a Senior Data Analyst to shape wealth management data solutions, navigating legacy and modern data structures.

You will perform profiling, design STTM mappings, and bridge between business rules and ETL engineers, ensuring data quality and clear stakeholder communication.

The role requires 5+ years of experience and strong SQL, with collaboration across domains including advisory billing and portfolios.

Qualifications

  • 5+ years of hands-on experience as a Data Analyst, Data Modeler, or Technical Business Analyst.
  • Advanced SQL expertise with complex queries for data extraction and profiling.
  • STTM documentation experience for ETL/ELT pipelines or data warehouse migrations.
  • Data quality, profiling, and remediation of data integrity issues.
  • Strong verbal and written communication with technical and business stakeholders.
  • Bachelor's degree in a relevant field.

Responsibilities

  • Data Profiling & Pattern Analysis across relational databases, data lakes, and warehouses.
  • Design, author, and maintain STTM documents detailing mappings, rules, and data types.
  • Bridge between business logic and ETL/Data Engineers with detailed walkthroughs.
  • Establish data quality metrics and collaborate with governance leads to remediation.
  • Wealth Management domain data: households, portfolios, assets, fees, and trades.
  • Communicate insights and mapping dependencies to technical and non-technical stakeholders.
  • Support QA and validation during sprints with SQL checks.

Skills

SQL
Data Profiling
Data Modeling
Stakeholder communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, or related field

Tools

Azure Synapse Analytics
Azure Data Factory
Databricks on Azure

Job description

BBI in St. Louis seeks a Senior Data Analyst to shape wealth management data solutions, navigating legacy and modern data structures.

You will perform profiling, design STTM mappings, and bridge between business rules and ETL engineers, ensuring data quality and clear stakeholder communication.

The role requires 5+ years of experience and strong SQL, with collaboration across domains including advisory billing and portfolios.

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