Top Data & Analytics Jobs

Design and build Account 360 data architecture, predictive pipelines, and automated enrichment workflows using enterprise, telemetry, and software usage data. Apply Python, R, SQL, machine learning, NLP, and process mining to deliver insights, segmentation, scenario planning, and product optimization. Collaborate with R&D, Product, Sales, Marketing, and Service teams while rapidly deploying data products, managing sprint capacity, reducing technical debt, and supporting cross-training.

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.

Analyze customer experience and support data using SQL, Python or R, statistical modeling, predictive analytics, machine learning, NLP, and Generative AI. Develop segmentation models, KPI scorecards, and customer satisfaction insights; connect customer metrics to business outcomes and ROI; and communicate recommendations to stakeholders. The role requires 8+ years of analytics experience and supports Reality Labs customer-centric initiatives.

Supports FAA implementation efforts by integrating and reconciling complex schedule, inventory, procurement, installation, and operational datasets. Builds repeatable data workflows, validates records, analyzes implementation risks and inventory gaps, prepares schedule updates, and develops dashboards and reports. The role documents data processes, investigates discrepancies, coordinates with schedulers and implementation stakeholders, and communicates progress, risks, and recommendations. Occasional client or company travel is required.

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.

Leads consumer, market, and competitive insights for Dyson’s Beauty portfolio. Designs and manages qualitative and quantitative research, including user trials, surveys, concept testing, conjoint analysis, pricing studies, and elasticity analysis. Integrates syndicated market data, synthesizes findings, and delivers recommendations for product strategy, pricing, launches, and feature prioritization. Partners with Portfolio, Product Marketing, Competitor Intelligence, NPI, NPD, and Commercial teams while presenting insights to senior leadership and managing external research vendors, budgets, and contracts.