Top Data Analyst Jobs in Mexico

The Master Data Analyst manages SAP material master data, supports new product introduction processes, and resolves data quality issues, primarily within US/CA operations, utilizing Winshuttle and Excel for mass data updates.

Analyze customer segmentation, design A/B testing, create dashboards, monitor KPIs, and collaborate to enhance data quality.

The role involves managing corporate finance projects, cash flow forecasting, insurance negotiations, and preparing financial reports for stakeholders.

The Financial Data Analyst manages system implementations, troubleshoots applications, leads project teams, develops risk strategies, and communicates financial information and analysis.

The Data Analyst II role involves statistical modeling, data visualization, troubleshooting technical issues, and ensuring data quality across projects.

The Senior Power BI Data Analyst will create actionable dashboards, optimize performance, mentor junior analysts, and collaborate with business teams.

The Data Analyst II is responsible for statistical modeling, data analysis, visualization, and ensuring data consistency in projects. The role includes troubleshooting technical issues and performing quality assurance on datasets.

As a Data Analyst, you will be responsible for executing analytical projects, planning initiatives, collaborating across teams, and providing analytics insights using SQL and other tools to drive business growth.

The GSM Business Process Data Analyst drives improvements in GSM tools, analyzes data for decision making, and supports business processes through IT expertise and stakeholder collaboration.

The Data Analyst will manage data pipelines, analyze datasets, ensure data quality, and collaborate with teams to enhance decision-making in the Gas & LNG sector.

The Data Analyst will transform customer business data to fit Watershed templates, interface with customers, document data manipulations, and synthesize experiences for product development.

The HR Data Analyst supports data-informed decision-making in HR by providing insights and developing analytics using tools like Workday and Power BI. Responsibilities include data analysis, reporting, and improving data workflows while ensuring data integrity and quality across systems.

Analyze sales data to forecast trends, prepare reports, and present insights. Collaborate with teams and conduct data ownership and analysis using various tools.

Manage regulatory reporting processes, ensuring timely and compliant submissions. Analyze data, coordinate stakeholders, improve processes, and support compliance efforts.

The Data Analyst will review data discrepancies, collaborate with engineers on data flow issues, and propose improvements for data quality and traceability.

The AR & Financial Data Analyst ensures timely cash flow, prepares AR reports, reconciles accounts, and leverages analytics for reporting.

The Master Data Analyst will maintain accurate SAP master data, troubleshoot discrepancies, support cost accounting activities, and provide data analysis and metrics tracking.

The Data Analyst transforms complex operational data into actionable insights, consolidates data for reporting, builds dashboards, and analyzes performance trends, improving processes and technology rollouts.

The Spend Data Analyst will extract, clean, and analyze large datasets, classify spend data, and collaborate in an Agile team to enhance data quality for supply chain intelligence.

Responsible for transforming Cloud Data into strategic insights, creating analytical workflows, managing the data lifecycle, and collaborating with teams for reporting efficacy.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

Assist in gathering and preparing datasets, support machine learning model development, conduct exploratory data analysis, and help communicate findings through visualizations.

The Data Analyst II will analyze business metrics and provide insights, manage data, and automate reporting. Responsibilities include using SQL and Python for data analysis and ensuring data quality for informed decision-making.

The Data Analyst will use data to provide insights for product and business strategy, collaborate across teams, and improve customer experience through data analytics and reporting.

The Data Analyst will translate business objectives into analytics solutions, implement tracking, validate data, and collaborate with teams to enable digital transformation and maintain data accuracy.