Posted:1 month ago|
Platform:
Work from Office
Full Time
Accountabilities:
- Collaborate with the Commercial Multi-functional team to find opportunities for using internal and external data to enhance business solutions.- Work closely with business and advanced data science teams on cross-functional projects, delivering complex data science solutions that contribute to the Commercial Organization.- Manage platforms and processes for complex projects using a wide range of data engineering techniques in advanced analytics.- Prioritize business and information needs with management; translate business logic into technical requirements, such as creating queries, stored procedures, and scripts.- Interpret data, process it, analyze results, present findings, and provide ongoing reports.- Develop and implement databases, data collection systems, data analytics, and strategies that optimize data efficiency and quality.- Acquire data from primary or secondary sources and maintain databases/data systems.- Identify and define new process improvement opportunities.- Manage and support data solutions in BAU scenarios, including data profiling, designing data flow, creating business alerts for fields, and query optimization for ML models.
Essential Skills/Experience:
- BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics)- 4+ years of work experience with DB skills like Python, 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- Experience in building ETL pipeline and data integration- Build efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency)- Streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules- Good written and verbal skills to communicate complex methods and results to diverse audiences; willing to work in a cross-cultural environment- Analytical mind with problem-solving inclination; proficiency in data manipulation, cleansing, and interpretation- Experience in support and maintenance projects, including ticket handling and process improvement- Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)- Importance of Scalability and Performance (handling large data volumes with optimized processing capabilities)- Experience with Git
Desirable Skills/Experience:
- Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS; use these technologies along with statistical tools like Python/R- Experience working with HTTP requests/responses and API REST services- Familiarity with data visualization tools like Tableau, Qlik, Power BI, Excel charts/reports- Working knowledge of Salesforce/Veeva CRM, Data governance, and Data mining algorithms- Hands-on experience with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)- Good experience in consulting, healthcare, or biopharmaceuticals
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. Thats why we work, on average, a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZenecas Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each others successes and take pride in giving back to our communities. Here, your career is more than just a path; its a journey to making a difference where it truly counts.
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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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