Amgen - Senior Associate - Data Analytics (3-5 yrs)

Job Title: Senior Associate Data Analytics

Location: Hyderabad, India

Team: Strategic Insights & Analytics

Reporting To: Senior Manager

ABOUT AMGEN:

Amgen harnesses the best of biology and technology to fight the worlds toughest diseases and make peoples lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the forefront of innovation, using technology and human genetic data to push beyond what is known today.

Role Summary:

We are looking for a Senior Associate Data Analytics with a strong foundation in Finance, business transformation analytics, and hands-on technology capability. This role will support Finance and Transformation Analytics by developing scalable data, automation, and AI-enabled solutions that improve decision-making, accelerate insight generation, and strengthen financial and workforce analytics capabilities.

The ideal candidate will combine finance domain understanding with technical execution skills across Python, SQL, Power BI, automation workflows, GenAI tools, and prompt engineering, with exposure to AI-enabled workflow development. The role will help modernize finance analytics by shifting manual, spreadsheet-heavy reporting toward automated, governed, and decision-ready analytics workflows.

This role will work closely with Finance, Transformation Analytics, FP&A, Technology, Data Engineering, and business stakeholders to translate complex business questions into reliable analytics, dashboards, scenario models, and AI-enabled workflows.

Key Responsibilities:

- Support financial and workforce analytics across transformation programs, including baselining, business case analysis, value tracking, scenario modelling, and performance reporting.

- Analyze financial, workforce, operational, and transformation data to identify trends, risks, opportunities, and value drivers.

- Build decision-ready insights for senior stakeholders by combining business context, financial logic, and analytical rigor.

- Support recurring and ad hoc Finance analytics needs, including variance analysis, value confirmation, workforce planning, reconciliations and transformation performance measurement.

- Contribute to Finance and Transformation Analytics use cases involving Hyperion, Workday, Anaplan, Power BI, Excel, and other structured financial or operational datasets, where applicable.

- Design and build automation workflows using Python for data extraction, transformation, validation, reconciliation, and reporting.

- Develop AI-enabled workflows that improve productivity, insight generation, financial commentary, and scenario analysis.

- Support LLM-powered applications, reusable GenAI workflows, and AI-enabled analytical tools using appropriate enterprise-approved frameworks, where applicable.

- Develop structured prompt templates for finance analysis, variance commentary, transformation analytics, and executive summaries.

- Create validation layers, controls, and review mechanisms to improve reliability, accuracy, and business readiness of AI-generated outputs.

- Build, maintain, and enhance analytical datasets, data models, and reporting outputs for Finance and Transformation Analytics use cases.

- Use SQL, Python, Power BI/Tableau, and data platforms to clean, transform, model, and visualize complex datasets.

- Support data quality checks, anomaly detection, reconciliation logic, and repeatable reporting processes.

- Partner with data engineering and technology teams to align analytics workflows with governed data sources and enterprise reporting platforms.

- Develop scenario models and sensitivity analyses to support Finance, workforce, transformation, and value realization decisions.

- Translate business assumptions into structured models and clearly explain implications, trade-offs, risks, and recommendations.

- Support transformation teams with modelling around financial baselines, value capture, business case ambition, and value confirmation.

- Partner with Finance, Transformation Analytics, Technology, FP&A, and business stakeholders to understand requirements and convert them into scalable analytics solutions.

- Communicate complex technical and financial analysis in a simple, executive-ready manner.

- Support adoption of automation and AI-enabled solutions through documentation, training, knowledge sharing, and user enablement.

- Collaborate across global and India-based teams to improve consistency, speed, and quality of analytics delivery.

Required Qualifications:

- 3-5 years of experience in Finance analytics, data analytics, automation, transformation analytics, applied AI, or related fields.

- Strong understanding of finance concepts such as financial planning, forecasting, variance analysis, business case modelling, cost analysis, or workforce/operational analytics.

- Strong hands-on programming skills in Python, including data processing, automation scripts, and analytical workflows.

- Working knowledge of SQL and structured data querying.

- Experience with Power BI or Tableau for dashboarding, reporting, and insight visualization.

- Experience in handling structured financial, workforce, operational, or transformation datasets.

- Exposure to GenAI tools, prompt engineering, LLM-powered workflows, or automation solutions.

- Strong analytical thinking, attention to detail, problem-solving ability, and stakeholder communication skills.

- Ability to translate complex business questions into structured analytical approaches and practical outputs.

Education / Experience:

- Chartered Accountant (CA) or Master's or Bachelors degree in Finance, Business Analytics, Data Science, Computer Science, Information Systems, Artificial Intelligence, Machine Learning, Information Technology, or a related field.

- 3-5 years of relevant experience in Finance analytics, data analytics, automation, transformation analytics, applied AI, or related areas.

What You Can Expect of Us:

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we will support your journey every step of the way.

In addition to base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

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