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Senior Data Analyst Developer Jobs in Missouri (NOW HIRING)

Senior Data Analyst

Saint Louis, MO ยท On-site

$83K - $105K/yr

As a Senior Data Analyst in our Wealth Management technology practice, you will play a central role ... Developer Collaboration & Bridge: Conduct detailed walkthroughs of mapping documents with ...

Senior Data Analyst Wealth Management PracticeData Engineering & Analytics DOMAIN Wealth Management TECHNICAL CORE Advanced SQL / STTM CLOUD ENV MS Azure (Preferred) EXPERIENCE 5+ Years Senior Level ...

Senior Data Analyst Wealth Management PracticeData Engineering & Analytics DOMAIN Wealth Management TECHNICAL CORE Advanced SQL / STTM CLOUD ENV MS Azure (Preferred) EXPERIENCE 5+ Years Senior Level ...

Senior Data AnalystWealth Management Practice | Data Engineering & AnalyticsDOMAINWealth ... We are seeking a highly analytical Senior Data Analyst to lead data discovery, quality profiling ...

Senior Data Analyst

California, MO ยท On-site

$77K - $97K/yr

Bachelor's Degree in Economics, Business, Engineering, or a quantitative discipline * 3+ years of experience in data analytics, financial services, or consulting; handsโ€‘on experience delivering ...

Senior Data Analyst

California, MO ยท On-site

$77K - $97K/yr

Strong Python programming and automation experience * Experience designing and implementing data ... Strong analytical thinking and problem-solving abilities * Excellent written and verbal ...

(USA) Senior, Data Analyst

Noel, MO ยท On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Proficiency in programming languages and big data technologies is essential to enhance data ...

(USA) Senior, Data Analyst

Anderson, MO ยท On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Proficiency in programming languages and big data technologies is essential to enhance data ...

(USA) Senior, Data Analyst

Cassville, MO ยท On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Proficiency in programming languages and big data technologies is essential to enhance data ...

$77K - $116K/yr

Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux ... Strong understanding of statistical analysis and predictive modeling * Ability to work ...

Sr. Data Analytics Engineer

Jefferson City, MO ยท On-site

$108K - $130K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ...

Sr. Data Analytics Engineer

Jefferson City, MO ยท On-site

$108K - $130K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ...

(USA) Senior, Data Analyst

Anderson, MO ยท On-site

$80K - $155K/yr

Join Walmart as a Senior Data Analyst and leverage your expertise in data analysis, visualization ... Data Engineering * Ensure data quality, integrity, and governance for analytics and model ...

(USA) Senior, Data Analyst

Cassville, MO ยท On-site

$80K - $155K/yr

Join Walmart as a Senior Data Analyst and leverage your expertise in data analysis, visualization ... Data Engineering * Ensure data quality, integrity, and governance for analytics and model ...

(USA) Senior, Data Analyst

Noel, MO ยท On-site

$80K - $155K/yr

Join Walmart as a Senior Data Analyst and leverage your expertise in data analysis, visualization ... Data Engineering * Ensure data quality, integrity, and governance for analytics and model ...

(USA) Senior, Data Analyst

Cassville, MO ยท On-site

$80K - $155K/yr

As a Senior Data Analyst on this team, with a focus on operations and technology, you will use ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

(USA) Senior, Data Analyst

Noel, MO ยท On-site

$80K - $155K/yr

As a Senior Data Analyst on this team, with a focus on operations and technology, you will use ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

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Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Missouri?

For Senior Data Analyst Developer jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Senior Data Analyst Developer jobs?

Cities in Missouri with the most Senior Data Analyst Developer job openings:

Senior Data Analyst

Saint Louis, MO โ€ข On-site

BBI
1 - 10 employees

$83K - $105K/yr

Other

Posted 16 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 structuresโ€”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: Bachelorโ€™s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related quantitative field. Preferred Experience & Skills โ€ข โ€ข โ€ข โ€ข 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.