Sr Associate Data Analytics

Job description

Career Category Finance Job Description 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 world’s toughest diseases and make people’s 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 1. Finance & Transformation Analytics 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. 2. AI, GenAI & Automation Enablement 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. 3. Data Engineering & Analytics Delivery 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. 4. Scenario Modelling & Business Decision Support 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. 5. Stakeholder Partnership & Adoption 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. Preferred Qualifications Experience in Finance Transformation, FP&A, workforce analytics, value tracking, business case modelling, or enterprise transformation programs. Exposure to Anaplan, Hyperion, Workday, Fieldglass, Databricks, Power BI, Tableau, or cloud-based data platforms. Experience with AI agent frameworks, GenAI application development, API integrations, or workflow automation tools. Understanding of financial controls, audit readiness, governance, and compliance considerations for AI/automation in Finance. Experience in building repeatable reporting, automation, or analytics workflows for business users. Preferred Technical Skill Requirements Core Skills Python SQL Power BI / Tableau Advanced Excel analytics Data modelling and transformation Financial modelling and scenario analysis Workflow automation Data validation and reconciliation logic Working knowledge of GenAI tools and prompt engineering Preferred Skills AI agent design or AI-enabled workflow development LangChain or similar AI orchestration frameworks API integrations Workflow automation tools such as Power Automate, n8n, or similar platforms Anaplan, Hyperion, Workday, or Fieldglass exposure Financial reporting automation Governance and controls for AI-enabled Finance workflows Education / Experience Chartered Accountant (CA) or Master's or Bachelor’s 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. Success Profile The successful candidate will be someone who can: Understand Finance and transformation business questions quickly. Translate complex business asks into structured analytical approaches. Build scalable, repeatable automations Use AI thoughtfully, with appropriate controls, validation, and business context. Communicate insights clearly to both technical and non-technical stakeholders. Balance speed with accuracy, governance, and decision quality. Help the team move from manual reporting toward automated, AI-enabled, technology-driven Finance analytics operations. 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. .