Top Remote Data & Analytics Jobs

Designs, develops, maintains, and improves software applications and business processes. Responsibilities include full lifecycle development, troubleshooting, performance and reliability improvements, CI/CD collaboration, requirements analysis, technology research, package maintenance, portfolio planning, and mentoring junior engineers. The role requires independent work, cross-functional collaboration, and strong software development, documentation, and problem-solving skills.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Supports media reporting and measurement initiatives across client accounts by analyzing digital and traditional marketing performance data, developing KPI-aligned reporting, translating findings into optimization recommendations, and contributing to measurement frameworks. Partners with strategy, media, client services, data engineering, and data science teams to ensure data integrity and actionable outputs. Builds Tableau dashboards, supports reporting automation, interprets advanced analytics such as attribution and marketing mix modeling, and manages recurring and ad hoc deliverables.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Senior Database Administrator responsible for optimizing MySQL and AWS Aurora query performance, indexes, execution plans, stored procedures, and database architecture. Supports SQL Server and AWS RDS environments, cloud migrations, schema refactoring, data modeling, maintenance, backups, and operational tuning. Collaborates with developers and QA teams on database code reviews and mentors engineers on query optimization. The role requires extensive DBA experience, cloud database migration expertise, and strong relational data modeling skills.

Leads the design, development, optimization, and migration of modern data platforms in Snowflake. Builds pipelines with dbt, Python, and cloud services; gathers client requirements; creates solution designs and project plans; advises on Snowflake performance, cost, security, and workload management; integrates BI, governance, and AI/ML tools; contributes to accelerators and mentors junior engineers. The role is remote, client-facing, consultative, and focused primarily on technical delivery rather than sales.

Develop and enhance insurance pricing models, rating structures, and optimization techniques. Analyze pricing data and provide recommendations to underwriting, analytics, and business stakeholders. Automate and document pricing processes, present technical proposals, support governance, lead projects, manage relationships, and help develop colleagues using Radar, Emblem, SAS, SQL, and Python.

Supports business applications, databases, integrations, and data processes through troubleshooting, reporting, data validation, documentation, testing, requirements analysis, implementation, and user training. Extracts and analyzes data using SQL, Excel, Power BI, APIs, and SQL Server. Participates in low- to medium-complexity projects, coordinates implementation activities, and communicates with business and technology stakeholders.

Build and operate batch and streaming data pipelines, ETL/ELT workflows, data warehouses, dimensional models, and reusable data services. Improve reliability, performance, quality, and cost efficiency through monitoring, testing, automation, and incident response. Partner with analytics, data science, product, business, platform, and infrastructure teams to deliver production data solutions and roadmap initiatives. Apply AI-assisted tools responsibly to development, testing, documentation, and troubleshooting.

The Senior Data Scientist will lead data-driven projects, develop predictive models, conduct data analysis, and collaborate with stakeholders to innovate solutions in the energy sector.