Senior Data Analyst

hace 2 meses

Tlaquepaque, México Hewlett Packard A tiempo completo

**Position Overview**:
The Product Data Management (PDM) Senior Data Analyst is responsible for managing, analyzing, and interpreting product data to support business decision-making and optimize product-related processes. This role involves working closely with various teams to ensure the integrity and effective use of product data, leveraging advanced analytical techniques to drive insights, and supporting data-driven strategies within the organization.

**Key Responsibilities**:
1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. Process Improvement:

- Identify opportunities for improving data management processes and implementing best practices.
- Propose and implement enhancements to data collection, analysis, and reporting processes.

7. 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.

**Education Requirements**:
1. Bachelor's Degree:

- A bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field is required.

2. Master’s Degree (preferred):

- A 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.

3. Certifications (preferred):

- Certified Analytics Professional (CAP): Preferred to validate advanced analytical skills and expertise.
- Microsoft Certified: Data Analyst Associate: Preferred to demonstrate proficiency with data visualization tools.
- SQL Certification: Preferred to validate expertise in SQL for data querying and manipulation.

**Experience Requirements**:
1. Professional 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.

2. Industry Knowledge:

- Experience in a relevant industry (e.g., manufacturing, technology) can be beneficial

**Skills and Competencies**:
1. Analytical Skills:

- Strong analytical and quantitative skills with the ability to interpret complex data and generate actionable insights.

2. Technical Skills:

- 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.

3. Communication Skills:

- Excellent verbal and written communication skills to convey findings and recommendations effectively to stakeholders.

4. Attention to Detail:

- High attention to detail with a focus on accuracy and data integrity.

5. Problem-Solving:

- Strong problem-solving skills with the ability to address data-related challenges and develop innovative solutions.

6. Collaboration:

- Ability to work effectively with cross-functional teams and provide data-driven support for various business functions.

This role requires a combination of technical expertise, analytical prowess, and strong communication skills to effectively manage and leverage product data for strategic decision-making and process improvement.

**Disclaimer**

**Benefits**:
HP offers a comprehensive benefits package for this position, including:

- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
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