Top Data & Analytics Jobs

Lead complex marketing and media analytics engagements, developing scalable reporting, dashboards, measurement frameworks, and analytical solutions. Use SQL, Python, or R and advanced methodologies such as media mix modeling, lift testing, incrementality testing, and experimental design to evaluate performance. Translate complex findings into strategic recommendations, influence client KPIs and investment decisions, resolve data-quality challenges, establish best practices, and mentor analytics professionals.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Leads Pebl’s data strategy, infrastructure, engineering, analytics, governance, and AI integration. Builds scalable pipelines, secures global employment and compliance data, delivers insights for business functions, embeds AI into products and workflows, communicates data-driven strategies to executives, and recruits and develops a high-performing data team.

Provides technical and analytical support for federal financial management systems, including system architecture, data flows, interfaces, data strategies, master data management, and governance frameworks. Maintains configuration-controlled documentation, supports IT audit and federal compliance requirements, develops data access policies, and coordinates with financial, IT, cybersecurity, and business stakeholders to improve data quality, security, accessibility, and system integration.

Develop and implement Databricks and AWS data-driven solutions supporting IRS tax-system modernization. Responsibilities include analyzing complex data, prototyping solutions, testing applications, conducting code reviews, debugging and improving software, responding to defects, and potentially leading engineering teams. The role requires collaboration in an Agile environment and communication with technical and client stakeholders.

Designs and implements the data architecture supporting engineering technology, analytics, automation, and AI. Assesses current systems, defines target architecture and governance, develops data models and ETL/ELT pipelines, integrates engineering platforms, and establishes metadata, lineage, stewardship, access, and quality standards. Partners with engineering and Digital Engineering teams to deliver reusable data assets, dashboards, and analytics solutions while coordinating data protection, platform evaluations, roadmaps, and stakeholder communication.

Administer SQL Server and Azure SQL environments, including production operations, performance tuning, security, backups, migrations, upgrades, and troubleshooting. Support application development, database modeling, ETL, data warehouses, data marts, and Power BI environments. Collaborate with technical and business stakeholders, coordinate deployments, track issues, estimate work, and provide project updates while maintaining database availability and standards.

Oversee sales reporting and chart compliance for digital and physical entertainment releases. Transform POS data from Shopify, Square, and retail partners; transmit verified files via SFTP; review event sales for compliance; audit and reconcile discrepancies; monitor release metadata and sales velocity; and enforce Luminate and Billboard eligibility standards under weekly deadlines.

Leads cross-platform data instrumentation and growth measurement across web and mobile products. Establishes event taxonomies, governs schemas, remediates Amplitude, architects GA4 and server-side tagging, configures advertising platform conversion signals, and leads incrementality testing. Partners with product, engineering, marketing, and agencies to improve attribution and optimize media spend. Builds auditing, observability, CI/CD linting, and SQL-based validation across BigQuery and Redshift.

The Data Engineering Intern will support the development and maintenance of data pipelines, write and troubleshoot SQL queries, resolve data quality issues, automate processes, test data solutions, and document systems. The role collaborates with data engineers, analysts, and business stakeholders while gaining exposure to databases, orchestration tools, APIs, industrial data systems, and enterprise technologies. This is an on-site internship in Sioux Falls, South Dakota.