Analyst - Data Engineer

India - Bangalore

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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Job Title - Analyst - Data Engineer

Career Level - C3

About Astrazeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.

Who we are:

The Global Business Service (GBS) team sits within Finance at AstraZeneca and is a dynamic and results-oriented environment and provides a range of enterprise-wide services. We dare to change the way we work by freeing up the business to push the boundaries of science to deliver life-changing medicines. We aim to do this by freeing up time, freeing up money, protecting AZ’s value and providing new capabilities.

What we do:

A trusted partner to the business, we’re on a mission to make AstraZeneca more agile, efficient and effective. Through our hybrid model of in-house delivery centers and service towers across the globe, we’re reimagining how we work. Here we drive new ways of working and operating models, process simplification and innovative solutions, whilst ensuring that automation and data is at the heart of everything.

How we do it:

Be part of a team building a community. We interact with diverse cultures and perspectives and are united by our sense of belonging. This is the place to learn and grow together.

Why we love it:

  • As a growing multi-national company, there’s so much potential to develop. Embrace opportunities at a global business that’s facing new and varied challenges. This is the place to build an exemplary, international CV.

  • A fun place to be, we’re creating community hubs that build partnerships, not just working relationships.

  • We’re on an exciting journey to take our team to the next stage. This is the place to leave a legacy behind.

  • We are a diverse, inclusive and innovative group who identify, build and deliver excellent shared services (which everyone can leverage) to enable AstraZeneca to grow and change at speed. We are passionate about simple process – making it easier to get vital repeatable services done – for our patients, for our customers, for our teams.

  • We focus on providing exceptional value that contributes to our company’s success and future by freeing up the business (our customers) to push the boundaries of science to deliver life-changing medicines for patients. With the accomplishments, commitment and passion that you bring, I’m excited about what we will achieve together towards realizing AstraZeneca’s bold ambition.

About the role

Data Engineer in Data Science and Advanced Analytics is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of data science and advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. The primary focus will be to leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space to create a seamless platform for the DS team and to drive business growth. This role will work closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations. This role will help further build the data science capability supporting the Commercial needs.

        Work with the Commercial Cross-functional team to identify opportunities for leveraging internal and external data to drive business solutions.

•           Responsibility includes woking closely with business and advanced data science teams for various cross-functional projects and drive delivery of complex data science solutions that drive value to Commercial Organization

•           Manage the platform and processes for complex projects using wide breadth of data engineering techniques in advanced analaytics

•           Proven working experience as a data engineer/business data engineer

•           Interpret data, process data, analyze results and provide ongoing reports

•           Develop and implement databases, data collection systems, data analytics and other strategies that optimize data efficiency and quality

•           Acquire data from primary or secondary data sources and maintain databases/data systems

•           Identify, analyse, and interpret trends or patterns in complex data sets

•           Work with management to prioritize business and information needs

•           Strong knowledge in Snowkflake and in databases (SQL, Amazon Redshift, S3, Oracle etc.) and experience with data integration tools (ETL) (Talend, Informatica, SSIS, etc.)

•           Experience in building data pipelines using ETL tools

•           Strong  Analitycal Skills  with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

•           Adept at queries, scripts, stored procedures, report writing and presenting findings

•           Locate and define new process improvement opportunities

•           Manage and provide support to data solutions in BAU scenarios.

•           Experience in data analysis techniques such as investigating, interpreting, and documenting data structures.

You will need to have

  • BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economic) with strong knowledge of statistical analysis and modeling

  • 5+ years of work experience with DB skills like SQL, SnowFlake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata

  • Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services, etc.

  • Good knowledge in Data Integration/ETL concepts and programming skills: Python

  • Good experience in consulting, healthcare, or biopharmaceuticals

  • Good written and verbal skills, and willing to work in a cross-cultural environment

  • An analytical mind and inclination for problem-solving and proficiency in data manipulation, cleansing, and interpretation

  • Working in a support and maintenance project along with ticket handling and change management experience

  • Strong communication skills and ability to communicate complex methods and results to diverse audiences.

  • Hands-on Experience working with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)

  • To build an efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency)

  • With streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules.

  • Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)

  • Candidate must have technical experience in database structures, query languages, structured programming languages, and the ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases

  • Importance of Scalability and Performance (in handling large data volumes with optimized processing capabilities)

  • Seamless Data Integration: Connect and integrate data from diverse sources easily.

  • Focus more into Data Governance and Security (by ensuring compliance and protect sensitive data)

  • Building collaborative Workflows that enables team collaboration and maintain organized workflows with seamless data flow

We would prefer for you to have:

  • Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS and use data and these technologies along with statistical tools like Python/R, etc

  • Experience with Git

  • Experience working with Hypertext Transfer Protocol (HTTP) requests and responses and API REST services.

  • Familiarity with data visualization tools like Tableau, Qlik Sesne, Power BI, Excel charts/reports

  • Prior experience with Data Tokenization

Working knowledge of the Salesforce/Veeva CRM, Data governance, and Data mining algorithms

WHY JOIN US?

We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.

We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Date Posted

01-Oct-2024

Closing Date

01-Oct-2024

AstraZeneca 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.

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Tags: Agile Airflow APIs AWS Big Data Computer Science Consulting Data analysis Data Analytics Data governance Data management Data Mining Data pipelines Data quality Data visualization Engineering ETL Excel Finance Git HDFS Informatica Lambda MongoDB Oracle Pharma Pipelines Power BI Python Qlik R RDBMS Redshift Salesforce Scala Security Snowflake Spark SQL SSIS Statistics Tableau Talend Teradata

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

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