Top Data & Analytics Jobs

Own Savvy’s end-to-end financial and operational data architecture, including centralized modeling, governance, metric definitions, data quality, reconciliation, reporting automation, and self-service BI adoption. Partner with finance, operations, compliance, engineering, and executives to establish durable data systems and technical direction. Help shape and scale the company’s data function and potentially build an early-stage team.

Leads business performance reporting and analytics for Mars’s salty snacks portfolio. Owns dashboards, scorecards, and KPI reports; translates complex data into actionable insights and strategic recommendations; analyzes category, brand, competitive, and syndicated data; collaborates with finance, marketing, commercial, and consumer insights teams; and presents executive-ready recommendations to internal and external stakeholders.

Leads product metadata strategy, governance, taxonomy, standards, and quality across publishing products and sales channels. Designs data models, validates records, manages ONIX feeds and identifiers, improves discoverability, coordinates corrections, and integrates rights information. The role collaborates with IT, marketing, sales, editorial, distribution partners, vendors, and industry standards organizations while guiding cross-functional adoption without direct supervisory authority.

Analyzes and validates enterprise datasets using SQL, investigates discrepancies, traces data lineage through ETL/ELT pipelines and warehouses, and documents mappings, transformations, definitions, and data quality findings. Collaborates with business stakeholders, Data Engineering, and BI teams to identify root causes and improve data accuracy, consistency, and transparency. The role emphasizes hands-on data investigation rather than dashboard development or governance policy management.

Manages the firm's matter-related data assets, including matter profiles, experience data, knowledge management products, dashboards, and reporting. Oversees data quality, validation, platform administration, stewardship procedures, and process improvements. Partners with attorneys, practice groups, marketing, pricing, and data teams to translate business needs into data products and support AI and transformation initiatives. Supervises and develops direct reports while ensuring confidentiality, operational coverage, and compliance with firm policies.

Leads a team of data engineers building, optimizing, and maintaining scalable data pipelines and architectures. Oversees ETL/ELT processes, data quality, automation, cloud platforms, and data warehousing initiatives. Provides technical guidance, mentors team members, manages project delivery, troubleshoots integration issues, and collaborates with stakeholders to support analytics and business intelligence objectives.

Leads an analytics team delivering dashboards, reports, data models, and research supporting strategic planning and institutional performance. Manages analyst development, workload prioritization, data quality, reporting standards, and stakeholder requests. Oversees cross-functional analytics projects, promotes self-service reporting, translates complex findings into recommendations, and partners with data engineering on reporting-layer models, governance, and process improvements.

The Data Engineer will architect, build, and optimize enterprise data platforms, lakehouse architectures, batch and streaming pipelines, analytics-ready data models, and governed semantic layers. Responsibilities include implementing Unity Catalog governance, security, lineage, CI/CD, automated testing, monitoring, and reliable production operations. The role partners with analysts, BI developers, and business stakeholders to deliver scalable solutions using Microsoft Fabric, Azure Databricks, Azure services, Power BI, and potentially Snowflake.

Translate business requirements into scalable reporting and analytics solutions. Partner with SMEs and engineering to source, validate, and model data in Azure and Microsoft Fabric. Build and maintain Power BI (primary) and Tableau dashboards, perform data profiling and quality checks, document lineage and definitions, and participate in Agile delivery to enable data-driven decisions for Medical Stop Loss operations.

Designs and leads enterprise-scale Snowflake data engineering solutions, including data warehouses, ELT pipelines, data models, cloud integrations, orchestration, and performance optimization. Builds scalable batch and streaming pipelines, APIs, data quality controls, automated tests, and reusable engineering components. Partners with architecture, security, governance, DevSecOps, and business stakeholders while supporting data analysis, application design, coding, deployment, and production maintenance.

Build and optimize Microsoft Fabric data solutions, including notebooks, pipelines, Lakehouses, data models, and ETL/ELT processes. Migrate legacy SQL Server datamarts, develop scalable ingestion and transformation workflows, and ensure data quality, testing, reconciliation, and production support. Collaborate with business and technical teams to deliver analytics-ready data. The role requires onsite work in Jefferson City, Missouri, and includes preferred experience with Databricks, Azure Synapse, Power BI, and financial services.