Top Remote Analysis Reporting Jobs in St. Louis, MO

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Maintains accurate CRM data across HubSpot and ServiceNow by processing data requests, entering and cleaning records, resolving duplicates, managing account relationships, supporting bulk uploads, and addressing cross-system data issues. Partners with Sales, Marketing, and IT Development to ensure accurate integrations, workflows, deal data, and adherence to data processes.

Analyzes business performance data and delivers actionable insights for stakeholders and senior leaders. Develops dashboards, scorecards, KPI reports, and recurring brand reporting while ensuring data accuracy and reliability. Partners with sales, marketing, product, and technical teams to translate business needs into analytics solutions. Performs ad hoc analysis, identifies trends and risks, supports executive presentations, and communicates recommendations clearly.

Analyzes e-commerce performance, sales, conversion, traffic, profitability, digital shelf metrics, POS data, consumer behavior, and market trends. Builds executive dashboards and recurring reports, conducts forecasting and ad hoc analyses, and translates insights into recommendations for marketing, merchandising, product development, and channel strategy. Partners with cross-functional stakeholders to identify growth opportunities, improve processes, and support strategic business decisions.

Architect and lead enterprise data platforms, pipelines, and infrastructure using Spark, Databricks, and cloud technologies. Build scalable data models and dimensional schemas, establish governance and data quality frameworks, optimize performance and reliability, and implement monitoring. Partner with stakeholders to translate requirements into technical solutions, lead design reviews, mentor engineers, contribute to platform strategy, troubleshoot complex failures, and support hiring and team development.

Develops and operates production data pipelines across lakehouse layers, administers Databricks and Unity Catalog, and maintains platform governance, monitoring, reliability, and documentation. Troubleshoots incidents, manages recoveries and backfills, implements data quality and schema testing, monitors performance and cost, and coordinates schema changes. Partners with analysts, developers, and business owners to deliver dependable data products and support AI-assisted operational workflows.

Build and maintain scalable data pipelines, analytics-ready models, and trusted metrics for Airbnb’s AirCover programs. The role involves ingesting and reconciling partner data, ensuring data quality and observability, supporting reporting, experimentation, financial reconciliation, and operational workflows, and collaborating with engineering, product, finance, analytics, and data science teams.

Design, build, and maintain scalable batch and streaming data pipelines, cloud infrastructure, and the Enterprise Data Hub. Partner with stakeholders to productionize ingestions, ensure data quality, implement metadata/catalog solutions, mentor junior engineers, and support analytics and ML workloads using cloud and big-data tooling.

Build and maintain dbt and Snowflake data models, CDC ingestion pipelines, semantic layers, tested gold datasets, monitoring, alerting, and performance optimization. The role supports BI and AI workloads in a multi-tenant SaaS environment, including row-level security and governed data access. Responsibilities also include stakeholder collaboration, analytics code CI/CD, orchestration, Python automation, and translating technical modeling decisions for business teams.

Analyzes and transforms data to create Tableau dashboards, reporting tools, and business intelligence solutions. Leads data-cleaning scripts using Databricks, SQL, and Python; maintains analytics solutions; identifies workflow automation opportunities; and translates client needs into scalable analytics and data science use cases. The role supports federal government clients, consulting delivery, business development, and stakeholder presentations.

Leads Marketing's data architecture, metric governance, analytical modeling, predictive modeling, experimentation, and executive performance reporting. Manages three to four analysts while remaining hands-on with advanced SQL, Snowflake data validation, dimensional modeling, cross-system reconciliation, attribution, customer analytics, and AI-assisted natural-language analytics. Partners with engineering, governance, product, and marketing teams to define data products, ensure analytical accuracy, and establish scalable measurement standards.

Leads advanced market research and consumer insights initiatives, including segmentation, conjoint, pricing, brand equity, and satisfaction studies. Advises senior leadership by translating qualitative and quantitative research into strategies for product development, marketing, innovation, and growth. Oversees agencies, synthesizes market data, presents executive recommendations, mentors researchers, and promotes data-driven decision-making across a global organization.