Sr Associate Data Analytics
India - Hyderabad
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
FinanceJob Description
Master’s degree and 1 to 3 years Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Sr Associate Data Analytics
What you will do
The Data Analytics & Automation Sr. Associate will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance.
A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests.
Responsibilities
Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity.
Complete and implement automation solutions to enhance efficiency and reduce manual effort, bringing to bear tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint.
Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests.
Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive improvements in execution.
Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements.
Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity.
Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency.
Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership.
Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives.
Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities.
Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights
What we expect of you
Basic Qualifications:
Master’s degree and 1 to 3 years in Data Analytics, Computer Science, or a related field or & 2 years data analysis, automation or business intelligence experience
Bachelor’s degree and 3 to 5 years in Data Analytics, Computer Science, or a related field or & 4 years data analysis, automation or business intelligence experience
Or
Associate’s degree and 7 to 9 years in Data Analytics, Computer Science, or a related field & 5 years data analysis, automation or business intelligence experience
Preferred Qualifications:
Experience with data analytics, reporting tools, and automation solutions.
Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau).
Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks.
Ability to work with large datasets and extract meaningful insights.
Proficiency in data analytics and visualization tools
Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency.
Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics.
Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities.
Experience working with self-service platforms such as ServiceNow to support business functions and automation.
Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems.
Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization.
Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics.
Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts.
Proven ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority.
Strong attention to detail and ability to manage multiple tasks effectively.
Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates.
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’ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
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.
.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Intelligence Classification Clustering Computer Science Data analysis Data Analytics Data governance Data pipelines Data visualization Finance JSON LLMs NoSQL Pipelines Power BI Predictive modeling Python R Research SharePoint SQL Statistics Tableau
Perks/benefits: Career development Competitive pay
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