Top Data & Analytics Jobs

Partner with client-facing teams to deliver and automate high-quality, scalable client reports and custom analyses using Snowflake/SQL and modern data tooling. Improve report accuracy, documentation, visualizations, and drive insights for strategic decisions.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

Run and analyze product experiments, define product metrics and telemetry for web and mobile, build funnel/retention/cohort analyses using SQL and Python on Snowflake, maintain Omni dashboards, create AI-agent workflows to automate routine analysis, and translate findings into clear product recommendations alongside PMs, designers, and engineers.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead analytics for Business Cards & Payments field strategy by building data solutions, dashboards, and data-quality tooling. Partner with business stakeholders to deliver insights, manage data governance, and implement self-service analytics using scripting, BI tools, and cloud services.

Support asset-level data intake, validation, and exception triage for private markets. Ensure data quality and standardization, perform trend analysis to inform product and process improvements, coordinate onshore/offshore delivery, document operational logic, and collaborate with Product, Data, and Engineering teams to improve workflows and client reporting.

Analyze supply chain and supplier performance data, build KPI dashboards and scorecards, support AS9100 documentation, drive process improvements, support supplier escalations and new product launch planning to improve efficiency, scalability, and cost.

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.

Partner with operations and call center leaders to collect, analyze, and report data. Build dashboards, KPIs, and BI tools, validate data quality, run exploratory analyses, and deliver actionable insights to improve operational performance and support transition to Sigma and advanced analytics.

Perform marketing measurement and analysis to evaluate marketing investments, build scalable Tableau reports, collaborate on code and analyses, and communicate data-driven insights to influence marketing strategy.

Partner with business leaders to define and operationalize KPIs, build scalable dashboards and data models, perform deep analyses to uncover insights, and translate findings into actionable recommendations. Deliver recurring and ad-hoc analyses, ensure data accuracy and accessibility, and use AI-assisted tools to accelerate workflows while validating results for impact on growth, efficiency, and customer satisfaction.

Account Executives at LinkSquares manage the entire sales process, focusing on new customer acquisition through research, outreach, and closing. They prioritize teamwork, quotas, and deadlines while driving business opportunities in a collaborative culture.

The Data Analyst will analyze complex datasets to provide insights, design experiments, optimize reporting solutions, and support cross-functional teams.

As a Principal Data Analyst, you will innovate and manage data solutions, translate business needs into tools and insights, and ensure data quality management.

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Lead Solutions Analyst translates complex business requirements into functional solutions for KYC and risk assessment initiatives, performs data analysis and mapping, prepares interface documents, supports UAT onboarding, coordinates with stakeholders, identifies risks, and promotes AI-assisted, reusable analysis practices.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

Build and maintain dashboards, conversational interfaces, and self-service reporting tools; investigate data and communicate actionable insights. Translate ambiguous business needs into analytical solutions, support platform users, onboard partner teams, triage requests, and collaborate with stakeholders across vehicle development, warranty, quality, and operations. Use SQL, Python, visualization tools, model outputs, and APIs to deliver customer-facing analytical products.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.