Senior Data Analyst - Product Data Management

Senior Data Analyst - Product Data Management

Description -

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.

   - Develop and apply statistical models and algorithms to interpret complex data and support decision-making.

   - 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
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
 

The base pay range for this role is $118,050 to $171,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

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

•        Flexible spending account

•        Life insurance

•        Generous time off policies, including; 

•        4-12 weeks fully paid parental leave based on tenure

•        11 paid holidays

•        Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Mexico)

Travel -

25%

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement