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Assistant Insurance Data Analytics Jobs in Missouri

Senior Data Analyst

Saint Louis, MO · On-site

$83K - $105K/yr

Testing & Acceptance Support: Assist QA and engineering teams during sprint cycles by validating ... Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, or a related ...

Candidates must have a strong analytics and data validation background. Key Responsibilities ... insurance, or operational data) * Experience with Databricks and/or PySpark Skills: Data Analyst ...

... and assist team members in closing out open items Build and maintain internal and external ... the insurance industry, specifically in employee welfare benefits or pharmacy data analytics ...

$106K - $143K/yr

... insurance offerings. * Opportunity to contribute to mission-driven healthcare analytics and public ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

Track, prioritize, and respond to data requests in coordination with project leadership and Client staff. * Assist with rapid-turn analyses and short-notice leadership requests. * Support ...

Data Analyst

California, MO · On-site

$80 - $100/hr

... advanced analytics (regression, clustering, time series, etc.). * Lead implementation of ... We offer a comprehensive benefits package that includes medical, dental, and vision insurance; paid ...

Data Analyst

Creve Coeur, MO · On-site

$100 - $125/hr

We are an entrepreneurial team that builds and leverages state-of-the-art analytics systems. Our ... them. Assist with storytelling by creating content that helps to visualize and interpret data ...

Showing results 41-60

Assistant Insurance Data Analytics information

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What are the most commonly searched types of Insurance Data Analytics jobs in Missouri?

The most popular types of Insurance Data Analytics jobs in Missouri are:

Senior Data Analyst

Saint Louis, MO • On-site

BBI
1 - 10 employees

$83K - $105K/yr

Other

Posted 10 days ago


Key responsibilities

  • Perform deep-dive data profiling and pattern analysis using advanced SQL across relational databases, data lakes, and warehouses.

  • Design, author, and maintain comprehensive Source-to-Target Mapping (STTM) documents detailing business rules, data transformations, and pipeline logic.

  • Act as the principal functional contact for ETL/Data Engineers, translating business logic into engineering specifications and facilitating walkthroughs.


Job description

As a Senior Data Analyst in our Wealth Management technology practice, you will play a central role in shaping client and portfolio data solutions. You will be responsible for navigating complex legacy and modern data structures—including client profiles, accounts, holdings, transactions, performance metrics, and advisory billing data. You will perform deep-dive data profiling and pattern analysis using advanced SQL, assess data health and quality, and author comprehensive Source-to-Target Mapping (STTM) documentation. Crucially, you will act as the principal functional contact for ETL/Data Engineers, effectively translating business logic into actionable engineering specifications and facilitating clear walkthroughs.


Primary Responsibilities


Data Profiling & Pattern Analysis: Execute complex SQL queries across relational databases, data lakes, and warehouses to analyze data distribution, evaluate data quality, discover data anomalies, and identify underlying relational patterns. Source-to-Target Mapping (STTM): Design, author, and maintain robust, granular STTM documents detailing business rules, field transformations, data types, primary/foreign key relationships, and data pipeline logic. Developer Collaboration & Bridge: Conduct detailed walkthroughs of mapping documents with engineering teams (ETL/Data Pipeline developers), clarifying edge cases, data constraints, and business intent to drive smooth implementation. Data Quality & Governance: Establish baseline data quality metrics, define data validation rules, and collaborate with data governance leads to remediate data discrepancies or gaps across financial datasets. Wealth Management Domain Application: Analyze domain-specific data entities, including household relationships, investment portfolios, asset classes, custody positions, fee calculations, and trade histories. Stakeholder Communication: Articulate data insights, structural risks, and mapping dependencies clearly to both technical developers and non-technical business stakeholders/product owners. Testing & Acceptance Support: Assist QA and engineering teams during sprint cycles by validating transformed datasets against original target specifications using customized SQL validation scripts


Experience: 5+ years of hands-on experience as a Data Analyst, Data Modeler, or Technical Business Analyst in enterprise data environment initiatives. Advanced SQL Expertise: Proven mastery in writing complex SQL scripts (multi-table JOINs, CTEs, window functions, subqueries, and analytical functions) for data extraction and profiling. STTM Documentation: Demonstrated experience creating explicit, comprehensive Source-to-Target Mappings (STTM) for ETL/ELT pipelines, reporting, or data warehouse migrations. Data Quality & Profiling: Strong background in identifying data anomalies, missingness, structural inconsistencies, and data integrity issues. Communication Skills: Exceptional verbal and written communication skills with proven experience leading technical specification reviews with software developers and architects. Education: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related quantitative field. Preferred Experience & Skills • • • • Wealth Management Domain Knowledge: Direct experience working with financial, wealth, investment management, brokerage, or banking data domains (e.g., portfolio management, custodial feeds, advisory accounts). MS Azure Cloud Environment: Exposure to or experience working with cloud data platforms on Microsoft Azure (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, or Databricks on Azure). Modern Data Stacks: Familiarity with modern data modeling concepts (Dimensional, Snowflake, Data Vault) and orchestration workflows. Agile/Scrum Framework: Experience working in Agile/Scrum delivery models, managing user stories.