Associate Data Analytics

23 hours ago


Hyderabad Telangana, India Amgen Full time

**India - Hyderabad**

**JOB ID**:
R-220927

**ADDITIONAL LOCATIONS**:

- India - Hyderabad

**WORK LOCATION TYPE**:
On Site

**DATE POSTED**:
Jul. 25, 2025

**CATEGORY**:
Finance

At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this important role.

The Financial Insights & Technology (FIT) team was created to: (1) maintain and build upon work/improvements enabled by various initiatives, (2) implement standardized reporting capabilities, (3) implement and maintain policies, processes and systems needed to drive an efficient and effective reporting environment and (4) explore new ways to evolve reporting, in the spirit of continuous improvement, to improve financial insights across the global finance organization.

The Associate will be part of the FIT (Financial Insights & Technology) Data Analytics & Processes team within Corporate Finance. This role will be based in India - Hyderabad.

**What will you do**

In this vital role as an Associate Data Analytics, you will play a meaningful role in Financial Data Integrations and Analysis for the global Amgen organization. Key responsibilities include but are not limited to:

- Developing a strong understanding of Amgen’s financial data and systems to support reporting, integration, and data request needs across initiatives.
- Working in close partnership with client-facing members of the FIT Reporting & Analytics (FITRA) team to design, develop and augment the financial datasets
- Owning and managing daily operational data processes in Databricks, ensuring they run reliably and efficiently.
- Creating and maintaining data pipelines in Databricks & Prophecy and building Tableau/Power BI dashboards to enable enterprise reporting and support future analytics needs.
- Writing SQL queries and creating ad-hoc reports based on end-user or team requests.
- Participating in project work to support financial dataset requests for other functions or groups within Amgen
- Identifying opportunities for automation and process improvement to streamline and enhance performance of data pipelines.
- Validating datasets through Databricks and Tableau dashboards
- Maintaining FITDAP documentation and code base.
- Involvement in the Financial Data Product Team, as well as supporting other initiatives.

Key elements to success in this role include understanding Amgen’s financial systems and data, understanding how to design datasets compatible with Tableau/Power BI reporting requirements, understanding how to take “business requirements” from colleagues and customers to translate them into dataset design.

**What we expect of you**

We are all different, yet we all use our outstanding contributions to serve patients. The Associate Data Analytics professional we seek is a go-getter with these qualifications.

**Basic Qualifications**

Master’s degree

OR

Bachelor’s degree and 2 years of Finance or Information Systems experience

OR

Associate degree and 6 years of Finance or Information Systems experience

Or

High school diploma / GED and 8 years of Finance or Information Systems experience

**Preferred Qualifications**
- Experience with financial statements and Amgen Finance experience is a plus
- Experience with data analysis and data visualization solutions such as Tableau, Power BI, Databricks, Prophecy, and Alteryx Designer
- Basic understanding of building ETL pipelines using data integration tools such as Prophecy, Alteryx, Databricks or similar platforms
- Familiar with Hyperion Planning, SAP, and scripting languages like SQL or Python.
- Well-versed in MS Suite, especially MS Excel (for data handling tasks such as pivot tables, VLOOKUP, data analysis tools, formatting) and proficient in MS Word and MS PowerPoint
- Excellent analytical and problem-solving skills.
- Able to work under a minimum supervision while being diligent with remote work and remote collaboration
- Strong communication and presentation skills
- Able to work in matrixed teams, across geographic and functional reporting lines



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