HP is Hiring Data Quality Analyst | Freshers | 9LPA

Job Summary

As a Data Quality Analyst, you will be responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and deliver actionable insights. This role involves working with large datasets to identify trends, patterns, and correlations, helping optimize business operations. You will use statistical tools, data visualization, and analytical techniques to communicate findings to both technical and non-technical stakeholders.

Key Responsibilities

• Collaborate with data science teams to design, develop, and implement data-driven projects.
• Use statistical methods to identify process gaps, root causes, and support data-driven decision-making.
• Apply techniques from statistics, machine learning, and business intelligence to generate insights.
• Perform data collection, analysis, and create impactful visualizations.
• Assist in experiments, validations, and documentation for research and innovation.
• Support preparation of reports, presentations, and publications for stakeholders and industry events.
• Provide research and analytical support, offering updates on progress and challenges.
• Maintain strong communication with stakeholders and share insights via standardized reporting.

Education Requirement

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
• Equivalent work experience will also be considered.

Experience Requirement

• 0–2 years of experience in data analytics, statistical analysis, database management, or related fields.

Preferred Certifications

• SQL, Python, or equivalent programming certifications.

Technical Skills Required

Agile methodology, business intelligence, computer science, dashboarding, data analysis, data management, data modeling, data quality, data science, data visualization, data warehousing, ETL, machine learning, Power BI, Python, R, SAS, SQL, statistics, Tableau

Cross-Functional Skills

• Strong communication skills
• Results-oriented mindset
• Learning agility
• Digital fluency
• Customer centricity

Impact & Scope

• Contributes as a team member by providing information, analysis, and recommendations.
• Supports decision-making with meaningful insights.

Complexity

• Applies basic concepts and theories while gaining hands-on experience.

Equal Opportunity Employer

HP, Inc. is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected category under applicable law.