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Senior Data Analyst

hace 2 meses

Tlaquepaque, Jalisco, México Hewlett Packard A tiempo completo
Job Summary

We are seeking a highly skilled Senior Data Analyst to join our Product Data Management team at Hewlett Packard. As a key member of our team, you will be responsible for managing, analyzing, and interpreting product data to support business decision-making and optimize product-related processes.

Key Responsibilities
  • Data Analysis and Interpretation
    • Analyze large datasets related to product information, performance, and market trends to identify patterns, correlations, and insights.
    • Create and maintain dashboards, reports, and visualizations to communicate key metrics and trends to stakeholders.
  • Data Management and Governance
    • Ensure the accuracy, consistency, and integrity of product data across various systems and platforms.
    • Implement data quality measures and perform data cleansing to address discrepancies and ensure reliable data.
    • Collaborate with data stewards and IT teams to maintain and improve data governance practices.
  • Reporting and Documentation
    • Generate regular and ad-hoc reports to track product performance, trends, and other key business metrics.
    • Document data processes, methodologies, and findings clearly and comprehensively.
    • Present analytical results and recommendations to senior management and other stakeholders.
  • System and Tool Utilization
    • Utilize advanced data analysis tools and technologies (e.g., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.
    • Support the integration of product data with other business systems (e.g., ERP, CRM) to ensure seamless data flow and utilization.
  • Collaboration and Support
    • Work closely with product management, marketing, sales, and other departments to understand their data needs and provide analytical support.
    • Assist in the development and execution of data-driven strategies and initiatives.
    • Provide training and support to team members on data analysis tools and best practices.
  • Process Improvement
    • Identify opportunities for improving data management processes and implementing best practices.
    • Propose and implement enhancements to data collection, analysis, and reporting processes.
  • Compliance and Best Practices
    • Ensure compliance with data privacy regulations and industry standards.
    • Stay updated on emerging trends and technologies in data analysis and product data management.
Requirements
  • Education
    • Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field is required.
    • Master's Degree in a relevant field (e.g., MBA with a focus on analytics, MS in Data Science or Business Analytics) is preferred and can be advantageous for advanced roles.
  • Experience
    • At least 5-7 years of experience in data analysis, preferably within product data management or a related field.
    • Proven experience working with large datasets and complex data analysis tools.
  • Skills and Competencies
    • Strong analytical and quantitative skills with the ability to interpret complex data and generate actionable insights.
    • Proficiency with data analysis tools and technologies (e.g., SQL, Python, R).
    • Experience with data visualization tools (e.g., Tableau, Power BI) for creating reports and dashboards.
    • Excellent verbal and written communication skills to convey findings and recommendations effectively to stakeholders.
    • High attention to detail with a focus on accuracy and data integrity.
    • Strong problem-solving skills with the ability to address data-related challenges and develop innovative solutions.
    • Ability to work effectively with cross-functional teams and provide data-driven support for various business functions.