Senior Data Analyst
India - Chennai
AstraZeneca
Job Title: Senior Data Analyst
Career Level - D1
Introduction to Role:
Join our dynamic DA Community within the Global Business Services (GBS) Analytics team. We are a group of data enthusiasts who focus on Data Quality, Data Consistency, and Data Completeness. Our team members are skilled in ETL tools, data warehousing concepts, and data visualization platforms. We also create robust data models to ensure clarity from the start of the SDLC projects.
Accountabilities:
As a Senior Business Analyst, you will interpret technical data points based on business requirements or problem statements. You will work with various source systems and integrate data using ETL tools. You will apply your knowledge of data warehousing methodologies and best practices in your projects. Your role will involve data analysis using Excel, SQL, or any standard tools in the market. You will create effective data models using data modelling tools and prepare the necessary artifacts for the Data Analyst role. You will also handle defect management, root cause analysis, hyper care monitoring, and post-deployment activities.
Essential Skills/Experience:
- Data Engineering Experience
- Experience in the DW platform and data modelling skills
- Good Data Analysis skills and knowledge of different analysis methods
- Experience in handling large volumes of data
- Data modelling
- Supports data Investigation via ETL & SQL
- Experience of working within a global organisation, preferably within the pharmaceuticals sector
Technology:
RDBMS – MS SQL, Oracle, Teradata, Postgres, Redshift, or any Cloud based DBMS.
Scripting – SQL Must, Python, J- Scripts, Power shell etc.
ETL Tools- Informatica, Talend, Snaplogic, Snowflake etc.
Data Modelling – Irwin, Enterprise Architect, Confluence- Gliffy, ER Studio etc.
BI tools – SAP BO, Power BI, Tableau, Qlikview, Cognos, Microstrategy etc.
Project Management - Jira
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.
At AstraZeneca, we are on a journey of growth and evolution to find better ways to translate value for the business and our patients. We are a multi-cultural team with deep process knowledge and business acumen. We always go the extra mile for the collective good of the team. We are committed to making AstraZeneca more agile, efficient, and effective through our hybrid model of in-house delivery centres and service towers across the globe. We are reimagining how we work by driving new ways of working and operating models, process simplification, and innovative solutions.
Join us if you are ready to challenge the status quo and reimagine our processes. Be part of 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.
Ready to leave a legacy behind? Apply now to be part of our journey!
Date Posted
02-Jul-2024Closing Date
01-Jul-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: Agile Confluence Data analysis Data quality Data visualization Data Warehousing Engineering ETL Excel Informatica Jira MS SQL Oracle Pharma PostgreSQL Power BI Python QlikView RDBMS Redshift SDLC Snowflake SQL Tableau Talend Teradata
Perks/benefits: Flex hours Team events
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