Top Data & Analytics Jobs

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Analyze complex transportation and operational datasets to identify performance, efficiency, and cost opportunities. Frame ambiguous business problems, evaluate scenarios and tradeoffs, develop actionable recommendations, and measure outcomes. Partner with cross-functional teams to implement scalable analytical solutions, using SQL, Python, advanced analytics, AI, generative AI, automation, and data visualization to improve decision-making and operational results.

Retrieve, validate, analyze, and visualize business, medical, financial, and operational data to identify trends, support decision-making, build reports and repositories, and recommend process improvements.

Query and extract data from multiple vendor programs, maintain datasets in Oracle/SQL, build and distribute departmental reports, implement ETL/automation with exception handling, reconcile data loads into relational and dimensional databases, and perform assigned research and analysis.

Own end-to-end analytics for the Pro product: build production data pipelines and dbt models, define north-star metrics, design dashboards and full-funnel reporting, lead A/B experimentation and causal inference, embed AI tooling, and deliver clear data-driven recommendations to product and leadership.

Collect, clean, validate, and analyze large datasets across manufacturing, engineering, marketing, sales, pricing, and ERP. Build data models, reports, dashboards, and visualizations (SQL, Python, Power BI, Excel). Provide actionable insights to stakeholders, support data governance, track initiative success, and collaborate cross-functionally to improve operations.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Perform data extraction, cleaning, large-scale analysis, and visualizations to deliver HR insights. Build dashboards, write queries, document processes, communicate recommendations, and develop/test/deploy basic ML models using tools like Python, SQL, Alteryx, and Tableau.

Audit and reconcile marketing and lead data end-to-end, maintain campaign tracking and platform integrations, troubleshoot data flow issues, manipulate large datasets to identify discrepancies, coordinate with vendors and stakeholders, and recommend process improvements to ensure accurate marketing-to-intake reporting.

Advance investment data, reporting, and technology capabilities by designing scalable data pipelines, monitoring and resolving data exceptions, building reports and dashboards, supporting product management and UAT, improving automation and governance, and partnering cross-functionally to maintain data quality and documentation.

Build and maintain AI billing, metering, consumption, and allocation data models. Reconcile usage and billing data across vendors, ensure data quality, and develop dashboards showing costs, utilization, trends, variances, and budget performance. Investigate anomalies and optimization opportunities while partnering with technology, finance, and business stakeholders on forecasting, governance, chargeback, cost transparency, and AI investment decisions.

Supports the City of Tucson Police Department by creating dashboards, reports, and business intelligence solutions. Analyzes data from multiple sources, resolves issues involving programming, visualization, databases, GIS, and statistical methods, and provides insights to improve departmental operations and decision-making. Work is performed under supervision in a mostly office-based environment.

Analyzes large pharma datasets using Databricks, AWS, Spark, and SQL to answer business questions and support decisions. Builds reports, dashboards, and visualizations; validates data quality; gathers requirements from business stakeholders; presents findings; and collaborates with data engineers on data gaps and pipeline issues. Applies pharma domain knowledge to commercial, clinical, or research-related reporting needs.

The Data Analyst will analyze data to provide business insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

The People Data Analyst role involves analyzing employee data to provide insights on engagement and retention, developing dashboards, and ensuring data integrity for HR reporting.

Own financial data strategy by migrating Amazon Seller Central and operational data into BigQuery, defining data governance, designing pipelines, building BI dashboards and self-serve reporting, leading ERP/FP&A evaluations and implementations, automating financial systems, and serving as the primary liaison reconciling reports across finance, accounting, operations, and technology.

The Data Analyst will analyze data using Google BigQuery and Generative AI, optimize queries, create visualizations, and ensure data quality for strategic decisions.

This role requires managing revenue and P&L reports, supporting business processes with report maintenance and creation, and managing inquiries related to reporting.

The Data Analyst will support data manipulation, ingest large volumes of data, create visualizations, and conduct analyses for U.S. Customs and Border Protection.

The Data Analyst will conduct data mining, analyses, and reporting, support client applications, and work within a data science project team.

The Marketing Data Analyst collaborates with marketing and IT teams to leverage data insights for client acquisition and retention. Responsibilities include analyzing data using SQL and statistical tools, creating reports, and ensuring data compliance.

Analyze manufacturing, procurement, inventory, and supply chain data to build KPIs, dashboards, forecasts, and reports. Support cross-functional stakeholders, identify improvement opportunities, and assist ERP reporting and continuous improvement initiatives.

The role involves drafting QA policies, analyzing data for improvements, preparing reports, and coordinating audits while ensuring compliance with standards.

Analyze and collect data, conduct research, administer quality control, and prepare reports for internal and external requirements.