Top Data Analyst Jobs

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.

Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency.

Support Boeing Global Services Commercial Modifications by developing and maintaining Tableau and Power BI dashboards, building API-driven ETL/data pipelines, cleaning and validating data, creating PMO reporting templates, tracking KPIs and scorecards, and collaborating with cross-functional teams to improve data quality and reporting efficiency.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

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 and refine analytics tools and dashboards by querying and integrating multiple data sources, analyzing operational and experience data, and delivering data-driven insights. Collaborate with cross-functional partners to design, develop, test, deploy, and maintain analytic solutions (including AI/ML use cases). Communicate findings to technical and non-technical audiences and contribute to team knowledge sharing and continuous improvement.

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.

Maintain and transform investment data by building data systems and pipelines, performing complex analysis, combining multiple sources, improving data quality, and presenting results via visualization. Collaborate with clients, system architects, and product teams to deliver actionable insights and analytical tools for data-driven decisions.

The Data Analyst Sr will manage information systems, conduct data analysis, advise users on data manipulation, and implement technologies for managing information sources.

As a Senior Data Analyst, you will develop data solutions, create database objects, optimize performance, and deliver insights via reports and dashboards, while collaborating with product teams.

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

The Data Analyst II analyzes data using SQL, Python, and R to provide actionable insights, improve processes, and support decision-making across teams. Responsibilities include developing forecasts, liaising with stakeholders, and presenting findings to executives.

As a Data Analyst II, you will enhance marketing strategies by auditing current data processes, creating dashboard reports, and conducting A/B tests with statistical validation to drive customer engagement and growth.

Lead data analysis and reporting for the Trading team, build and maintain dashboards and governed analytics, deliver quantitative research, mentor juniors, and present insights to stakeholders to support decision-making and next-gen trading platform development.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

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

Provide analysis in support of geospatial intelligence missions, manage data dissemination, and develop workflows for data analysis and visualization.

Analyze operational and experience data to identify improvement opportunities, build analytics solutions and dashboards, integrate large datasets, conduct statistical analyses, and communicate insights to technical and nontechnical stakeholders. Support full analytics lifecycle and contribute to AI/ML use cases and team knowledge sharing.

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

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

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 Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

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

Support day-to-day pricing operations, monitor competitor activity, analyze pricing metrics and trends, investigate pricing issues, partner with cross-functional teams, surface risks and opportunities, and help improve pricing accuracy and operational workflows.