About Asentech LLC

Asentech leads in digital transformation for Life Sciences brands, offering advanced data and technology solutions to amplify customer engagement across multiple channels through data-driven strategies and omnichannel approaches.

Our Journey

Since 2007, we’ve grown to become a trusted partner for life sciences commercial teams. Let’s face it, life sciences companies are facing some serious challenges – Rep influence is on the decline, community practices are merging into larger healthcare networks, and the Inflation Reduction Act is putting more margin pressure – and that’s just for starters. With fewer levers to pull, companies need to nail their product launches now more than ever. That’s where omnichannel strategies come in – they’ve become absolutely crucial in this landscape. Our team of tech experts and strategists is ready to put our omnichannel expertise to work for you. We’re not about cookie-cutter solutions; we tailor our approach to fit the unique needs of each life sciences company in this complex market.

Our Mission

Our mission is to empower life science organizations globally to maximize the value of their omnichannel capabilities. Through strategic partnerships, we drive significant improvements in both top-line growth and bottom-line efficiency, helping our clients achieve their business objectives in an increasingly complex market landscape.

Job Details

• Job Title:- Data QA Analyst
• Type of Position:- FTE
• Experience:- 3 to 5 years
• Job Location:- Pune – Hybrid

Roles and Responsibilities

We are seeking a detail-oriented Data QA Analyst to ensure the accuracy, quality, and reliability of data across various systems and processes. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and expertise in data validation, testing, and reporting. This role involves collaborating with cross-functional teams to maintain high data quality standards and support decision-making processes within the organization.

• Design and execute test plans, cases, and scripts to validate data accuracy and integrity across systems.
• Conduct thorough data quality checks and audits to identify and resolve inconsistencies, errors, or anomalies.
• Collaborate with data engineering and development teams to ensure data pipelines meet quality standards.
• Develop and implement automated testing solutions for data validation and reconciliation.
• Analyze test results, identify root causes of data issues, and provide actionable recommendations for improvement.
• Maintain comprehensive documentation of test cases, results, and data quality processes.
• Assist in defining and implementing data quality metrics and reporting mechanisms.
• Stay updated on best practices and tools in data quality assurance and testing.

Technical Competency

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• Proficient in SQL and experience with querying large datasets for validation and analysis.
• Familiarity with data quality tools and frameworks such as Talend, Informatica, or similar.
• Hands-on experience with ETL processes and understanding of data warehousing concepts.
• Knowledge of scripting languages (Python, R, or similar) for data validation and testing automation.
• Experience with BI tools like Tableau, Power BI, or Qlik for data visualization and reporting.
• Strong understanding of database systems (e.g., MySQL, PostgreSQL, Oracle).
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) for data operations is a plus.

Functional Competency

• Strong attention to detail to ensure high levels of data accuracy and reliability.
• Excellent analytical and problem-solving skills to identify and resolve data-related issues.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively.
• Understanding of data governance principles and practices.
• Strong organizational and time-management skills to manage multiple tasks and deadlines.
• Proactive mindset with a focus on continuous improvement in data quality processes.

In order to ensure fair and transparent hiring practices, we are committed to providing equal employment opportunities to all qualified candidates and eliminating any form of discrimination or bias in our recruitment process.

Join our team and make a significant impact on the growth and development of our IT organization. Apply today with your resume and a cover letter outlining your relevant experience and interest in the role.