Senior Data Analyst

**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-