Top Data & Analytics Jobs

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.

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.

Administer Tableau Server for 700 users across 12 department sites, managing upgrades, patches, licenses, SSO, data drivers, access, troubleshooting, and support requests. Build decision-ready dashboards and data products, maintain report inventories, guide migration or retirement decisions, and establish standards for data access, row-level security, and visualization quality. Partner with business stakeholders and developers while using AI tools to accelerate analysis, development, and migrations.

Leads ATTN:'s marketing measurement strategy and builds scalable capabilities to evaluate campaign impact across brand clients. Oversees measurement frameworks, reporting, experimentation, audience research, analytics tooling, and external partners. Translates campaign performance data into recommendations for client investment, media planning, audience targeting, creative optimization, and ROI improvement. Builds internal measurement teams and systems while partnering with account, strategy, and creative teams throughout campaign delivery.

Analyzes retail, e-commerce, platform, and user data to generate business insights, improve user experience, and support growth. Translates data needs into reporting systems and data products, partners with data engineers on the data platform, and promotes data-driven decision-making across business teams.