Top Data Analyst Jobs

Provide data analytics support for construction scheduling and field operations: become SME on related datasets, build and maintain dashboards, validate and cleanse data, recommend process and tooling improvements, collaborate with business leaders and technology partners to deliver insights that inform operational decisions.

Partner across business units to map data systems, analyze marketing performance, build executive-ready dashboards, automate reporting, and improve data quality and governance to drive campaign optimization, attribution, forecasting, and strategic recommendations.

The job requires a Data Analyst with 6-7 years of experience, specifically 2 years in R programming, to perform data analysis using R.

Lead the evaluation of internal controls using CAATs, support audit processes, analyze data with ACL, and provide recommendations to enhance business processes.

The Data Analyst role involves using Microsoft Office applications for reporting, collaborating on tasks with global teams, and ensuring attention to detail.

The Data Analyst will execute data profiling, data quality testing, and reporting, develop data quality standards, and work across teams to ensure data quality compliance.

The Data Analyst develops data requirements, performs data analysis, writes SQL/SAS code, and enhances data management processes while supporting various data tools.

Act as a liaison between business stakeholders and development teams on Agile projects, ensuring requirements are effectively communicated and met. Analyze data structures to align business needs with data requirements, and assist in project testing.

Gather reporting requirements and develop data feed specifications. Analyze data quality issues and define ETL mapping specifications for incoming data feeds.

The Data Analyst will analyze data to identify anomalies, recommend solutions, communicate insights, and develop reports while managing multiple deadlines.

The Business/Data Analyst will analyze complex business problems, document data flows, facilitate process improvements, and ensure quality assurance across teams.

Responsible for data gathering and analysis, creating data visualizations, assisting in market analysis, and managing tasks with partner teams.

The Data Analyst role involves problem solving in HR information systems and data analytics with intermediate Excel skills required.

Analyzes product complaint data to ensure regulatory compliance, prepares reports, identifies process improvement areas, and develops data analysis tools.

Perform data analysis, coordinate project meetings, gather documentation, and prepare reports for performance review and data requests.

The Business Data Analyst will analyze workforce data, create dashboards, and provide actionable insights to support strategic workforce planning in the Legal HR function.

The Data Analyst will support the Chicago Bakery Team by analyzing key performance indicators and data reporting for production lines, focusing on efficiency, downtime, and waste.

Support supply chain and logistics by developing and automating reports and dashboards, analyzing large datasets to identify trends and process improvements, ensuring data accuracy, monitoring KPIs (on-time delivery, inventory turns, transportation costs), assisting root-cause analyses, and collaborating with operations, procurement, finance, and IT to deliver actionable insights.

The Data Analyst will perform data analytics and data science projects, work collaboratively on client engagements, and develop skills in analytics.

The Business Data Analyst will work with semantic technologies, graph analytics, text mining, and big data execution while analyzing source data and developing business cases in a global delivery environment.

The Data Analyst will manage source to target mapping, data modeling, and utilize complex SQL queries while working with various databases.

Analyze data through ad-hoc and statistical methods, utilizing SQL for large data processing, presenting insights using Excel, and collaborating in teams to improve customer experience.

Design and prototype solutions, conduct solution and vendor assessments, and demonstrate critical thinking and communication skills as a Data Analyst.

Lead development of dashboards and analytics solutions, mentor junior analysts, perform deep-dive analysis, create KPIs and reports, support Agile development (user stories, QA, UAT), and deliver BI solutions using Power BI/Tableau, Databricks, SQL, and Python to meet federal customer needs.

Own people analytics for recruiting and HR: define metrics and data model, build dashboards and reports, ensure data quality and governance, run ad-hoc and deep-dive analyses, and partner with engineering and People leadership to scale People data and AI tooling.