Senior Analyst - Data Quality
India - Chennai
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.Job Title: Senior Analyst - Data Quality
Career Level - D1
Introduction to role:
We are on the lookout for a seasoned Technical Lead in Data Quality Management. This role is pivotal in ensuring the accuracy, consistency, and reliability of our data assets. You will be working closely with data product owners and domain experts to understand data flows, set up initial data quality checks, and enhance existing tools and processes. If you have a strong technical background and the ability to drive continuous improvements in data quality practices, this could be the perfect role for you!
Accountabilities:
As a Senior Analyst, you will be responsible for setting up data quality checks, collaborating with data product owners, conducting routine assessments on data integrity, producing comprehensive reports, resolving potential data issues, monitoring data feeds, and improving Data Quality management systems. You will also provide technical leadership, explore and evaluate available techniques, technologies, and software to enhance the capability and services of different stakeholder teams.
Essential Skills/Experience:
Background in data analysis and issue investigation in a complex data and system environment.
Good understanding of data quality and data management principles.
Proficient with SQL/Databricks.
Proactive, analytical, and investigative mindset.
Proficient in Office applications (Word, Excel, PowerPoint).
Customer focus.
Strong written and verbal communication skills.
Desirable Skills/Experience:
Experience with digital, multi-channel, and omni-channel marketing.
Pharmaceutical business awareness/business domain knowledge.
Experience using data quality profiling and monitoring tools.
Experience of working in a complex global organization.
Experience of data partnerships.
Working knowledge of Python, SQL/Databricks.
Data catalogue solutions e.g., Collibra.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca?
Join a team that supports the delivery of life-changing medicines for patients by enabling the rest of the business to run effectively and harness our transformative science. We're on a journey of growth and evolution to find better ways to translate value for the business and our patients. As part of our diverse "Enabling" team, you'll experience a sense of belonging as we interact with diverse cultures and perspectives. We're always adapting and challenging the status quo, it's what helps us to succeed. Be proud to work at a leading business where your contribution benefits the lives of patients across the world.
Ready to make a difference? Apply now!
Date Posted
24-Jun-2024Closing Date
24-Jun-2024AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Databricks Data management Data quality Excel Pharma Python SQL
Perks/benefits: Flex hours
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