Top Data & Analytics Jobs

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

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

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.

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.

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.

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

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

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

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

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.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Build, maintain, and improve Power BI reports, paginated reports, and semantic models. Write and validate T-SQL queries, work with views/stored procedures and Fabric, perform data validation, document logic, and partner with business stakeholders to deliver reliable BI solutions and KPIs.

Support PepsiCo Quality Program by mapping and classifying ingredients for hazard analysis and FSMA compliance. Serve as Data Steward for material classification tool, coordinate change requests, liaise with database developers, perform UAT, maintain master files, train global teams, and support food safety technical services and automation efforts.

Support UK (and wider) operational and asset teams by building consistent KPIs, reports and analyses to improve NOI and customer outcomes. Champion AI tools to automate reporting, build AI-powered reporting assistants, and accelerate QA. Provide data gathering, financial and leasing analysis, systems requirements/testing, and support acquisitions, budgeting and operational performance improvements.

The Sr. Data Quality Analyst will focus on data testing, analysis, and SQL skills, with expertise in Informatica and collaborative problem-solving.