About Us
HP Inc. is a global leader in IT services and technology innovation, redefining the future of work through its cutting-edge solutions. With over 10,000 employees worldwide, HP is committed to sustainability, inclusivity, and delivering technology that makes life better for everyone, everywhere. A career at HP is more than just a job — it is about making a real difference, creating meaningful solutions, and contributing to the way the world evolves.
Founded on the principle that people can achieve extraordinary results by working together, HP fosters collaboration, inclusivity, and creativity in all aspects of its operations. The company has consistently led in driving innovation across personal computing, printing, enterprise technology, and data analytics. At HP, you will find an environment where your voice is heard, your contributions matter, and your growth is nurtured.
HP’s workplace culture emphasizes equality and respect, ensuring a zero-tolerance policy toward discrimination. Whether you are at the start of your career or already experienced, HP is dedicated to providing learning opportunities, mentorship, and career growth pathways. By joining HP, you become part of a diverse global team where your efforts impact millions of people across industries and geographies.
Job Details
- Job Title: Data Quality Analyst
- Job ID: 3151029
- Location: Bengaluru, Karnataka & Chennai, Tamil Nadu (Hybrid)
- Employment Type: Full-Time
- Batch: 2021 / 2022 / 2023 / 2024 graduates eligible
- Experience: 0–2 Years (Freshers welcome)
- Salary: As per Industry Standards
- Qualification: Bachelor’s Degree in Mathematics, Statistics, Economics, Computer Science, or related field
- Certifications (if any): SQL, Python, or other BI tool certifications (Preferred, not mandatory)
This role is designed for individuals passionate about data analytics, data quality, and business intelligence, who are eager to learn and ready to make a significant contribution to a global technology leader. As a Data Quality Analyst, you will play a key role in ensuring accuracy, reliability, and consistency of data across business operations.
Key Responsibilities
Collect, analyze, interpret, and present large datasets to provide actionable insights to support decision-making.
Collaborate with data science engineers to investigate, design, and execute projects aimed at generating meaningful business insights.
Apply statistical techniques and data analysis methodologies to detect process inefficiencies and identify root causes.
Build and maintain dashboards and reports using visualization tools such as Tableau, Power BI, or Excel for diverse business stakeholders.
Conduct experiments and validations in accordance with project requirements and team strategies.
Record, document, and analyze findings while following established data protocols and quality standards.
Assist in drafting technical papers, preparing presentations, and supporting publications or conference contributions.
Contribute to intellectual property development, including patents and supporting documentation.
Perform proactive research and analysis to drive improvements in ongoing and future projects.
Share regular progress updates, accomplishments, and blockers with team members to ensure transparency.
Required Skills
Strong knowledge of SQL, Python, or R for data querying and analytics.
Hands-on experience in data visualization tools such as Tableau, Power BI, or Excel.
Understanding of data modeling, data warehousing, and ETL pipelines.
Familiarity with statistical methods and practical application in business contexts.
Basic knowledge of machine learning for data-driven insights.
Ability to adapt to Agile methodology and collaborate effectively within teams.
Preferred Skills
Certifications in SQL, Python, or visualization tools like Tableau or Power BI.
Exposure to SAS or similar analytics platforms.
Knowledge of cloud-based analytics environments.
Strong communication and presentation abilities to engage non-technical audiences.
Problem-solving skills combined with a customer-first mindset.
Perks and Benefits
Competitive compensation package.
Hybrid work environment offering flexibility for better work-life balance.
Comprehensive health and wellness benefits, including insurance.
Professional development opportunities through training, workshops, and certifications.
Access to HP’s advanced technology ecosystem and tools.
Opportunities for global exposure and networking with diverse teams.
Equal Opportunity Employer (EEO) – inclusive, diverse, and respectful workplace.
Why Join Us
At HP, data is more than just numbers — it is the foundation of innovation. As a Data Quality Analyst, you will ensure that the data powering HP’s operations is accurate, consistent, and actionable. This role allows you to collaborate with global teams, solve real-world business challenges, and contribute to the development of technologies that redefine industries.
HP’s emphasis on continuous learning, sustainability, and diversity ensures that you grow as a professional while working toward meaningful goals. Whether you are a fresher exploring opportunities or an early career professional building expertise, HP provides the resources, mentorship, and opportunities to help you thrive. By joining HP, you become part of a culture that values impact, creativity, and growth.
How to Apply
To apply for this role:
Update your resume to highlight relevant skills, academic achievements, and projects.
Prepare a brief cover letter showcasing your passion for data and your motivation to join HP.
Click the Apply Now link below.
Fill out the online application form with accurate details.
Submit your application and await communication from HP’s recruitment team.
