HP Recruitment Program 2025 | Hiring Data Quality Analyst – Apply Now!

Qualifications

Education & Experience Recommended

• Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 0-2 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications:

• Programming Language/s Certification (SQL, Python, or similar)

Job Summary:

• This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization.
• The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations.
• The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders.

Responsibilities:

• Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
• Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making.
• Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
• In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
• Assists the team in performing experiments and validations in accordance with overall plan.
• Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
• Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
• Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.