Business, Data Analytics and Insights Associate Job at Amgen (Lisbon)

Business, Data Analytics and Insights Associate

Join our team at AMGEN Capability Center Portugal, number 1 company in Best Work...

Location

Portugal , Lisbon

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

University Degree in commerce, finance, economics, mathematics, healthcare or related field
1+ years working in a finance/data related field ideally Data and Analytics
Fluency in English, both in written and oral communication
Strong Excel knowledge

Job Responsibility

Supporting the delivery of day to day D&A activities
Producing budgeting and planning reports, data analysis and supporting wider business Units within the ACCP
Supporting business planning and decision making through financial analysis
Support long-term and short-term planning support activities
Calculating scenarios based of expectations
Collecting feedback and preparing communication plans to share outputs
Taking ownership of complex calculations through understanding inputs and their relationships to the problem
Upload, manage and store complex data
Communicate competently with regional hubs
Supporting ACCP continuous improvement activities

What we offer

Vast opportunities to learn, develop, and move up and across our global organization
Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act
Generous AMGEN Total Rewards Plan comprising healthcare, finance, wealth and career benefits
Flexible work arrangements

Data Scientist, Business Analytics and Industrial Engineering

Software Resources has an immediate, contract job opportunity for a Data Scienti...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Demonstrated leadership ability and/or previous managerial experience
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions

Job Responsibility

Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions

What we offer

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Fulltime

Global Category Associate Director- Data Analytics and AI Platforms

We are seeking an individual who thrives in ambiguity, capable of driving catego...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Familiarity with procurement platforms such as Ariba, as well as ERP systems and advanced analytics tools to support decision-making and process automation
Excellent problem solving and organizational skills
Experience leading large, cross-functional teams and managing complex global projects in a matrixed environment
Experience managing analytics and AI/ML software procurement
Understanding of cloud data ecosystems (e.g., Snowflake, Databricks, AWS/Azure/Google AI)
Strong analytical skills with ability to assess large data sets and supplier performance
Doctorate degree and 14 years of Global Strategic Sourcing, Procurement or Commercial experience OR Master’s degree and 15 to 17 years & above experience of Global Strategic Sourcing, Procurement or Commercial experience OR Bachelor’s degree and 17-18 years of Global Strategic Sourcing, Procurement or Commercial experience
And 2 years of managerial experience directly managing people and/or leading teams, projects, or programs.

Job Responsibility

Lead and evolve the category strategy for Data Analytics and AI Platforms, enabling Amgen to leverage data-driven insights across R&D, Commercial, Operations and G&A functions
Partner with Digital, Data Science, and IT leaders to standardize platforms such as data lakes, analytics, and AI/ML environments
Evaluate emerging suppliers in data, AI, and predictive analytics to incorporate innovation responsibly
Design contracts balancing access to innovation with compliance, governance, and cost efficiency
Develop multi-year sourcing roadmaps to ensure data and AI platforms meet enterprise growth and compliance needs
Provide strategic oversight as the global lead for Software category and sourcing, ensuring alignment between category strategies and Amgen’s evolving business needs
Act as a trusted advisor to ensure that procurement initiatives are aligned with broader organizational objectives
Guide and facilitate collaboration across cross-functional teams and regional stakeholders
Ensure that all Software procurement activities are managed in compliance with regulatory, contractual, and operational risk requirements
Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to maintain oversight of risk mitigation strategies

Manager Data Science, Business Analytics & Insights

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy ...

Location

Japan , Tokyo

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high School Diploma (or Equivalent) with at least 10 years of relevant experience
Experience with infrastructure as code, automation scripts, run book workflows, frameworks
Demonstrated the successful adaptation of data quality standards in a previous work experience
Hands on experience working with DevOps tools
Experience working with machine learning products and services from leading public providers
Experience working with compliance domains
Ability to architect and design data models and solutions
Innovative with changing business requirements
Excellent verbal and written communication skills

Job Responsibility

Lead or co-lead moderately complex projects, effectively managing time and resources
Apply skills and discipline knowledge to contribute to departmental work
Resolve moderately complex problems independently, developing new options guided by policies in non-standard situations
Work independently on assignments, seeking guidance on unusual or complex problems
Review your own work and mentor others by reviewing their work
Utilize judgment and experience to potentially become a resource for others
Manage technology deliverables through planning, estimation, coordination, and execution
Collaborate with enabling functions to enhance regional Business Intelligence (BI) capabilities
Engage with business, Digital stakeholders, and partners/vendors to capture and translate key requirements into projects aligned with Pfizer's standards
Maintain strong customer engagement with key stakeholders and support teams in leveraging the knowledge graph for various tasks, while defining data quality rules and improving taxonomy change management processes

Fulltime

Associate Director, Enzyme Therapies Business Insights & Analytics

The Associate Director, Enzyme Therapies – LSDs will serve as a pivotal leader i...

Location

United States , San Rafael

Salary:

159800.00 - 219670.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

BA/BS in science or business required
MBA or advanced degree preferred
7+ years experience in a commercial capability within the pharmaceutical/biotech industry or life science or strategy consulting experience
4+ years in market research and analytics
Experience in understanding brand asset/content, strategy, and tactics
Ability to effectively utilize dashboards and data products to derive insights
Understands primary and secondary research methodologies with experience managing vendors
Proven ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics
Excellent interpersonal skills with a track record of effectiveness and collaboration as a team player and result-oriented project leader
Strong leadership and decision-making skills

Job Responsibility

Acts as strategic partner to LSD team members
Designs and delivers qualitative and quantitative market research projects and analytics
Leads the Integrated Insights Team for LSDs, maintains the Integrated Insights Plan, synthesizes insights integration from cross-functional teams
Provides context and insights to support preparations for governance decisions, leadership reports, business reviews, earnings narratives, etc.
Drives for an efficient and effective workplan
establishing a cohesive insights and analytics plan and calendar across markets and cross-functional partners
Maintains knowledge management library, holistic of all insights generation activities across enterprise
Delivers objective, insight‑driven guidance by pairing rigorous analytics with clear, compelling storytelling
Ensures teams remain current on emerging insights and analytics capabilities
Leads the team’s insights and analytics procurement, contracting, and project execution

What we offer

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Fulltime

Senior Associate, Data Analytics Supply Chain

In this vital role you will be part of the External Planning and Delivery Team, ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree and 4 years’ experience in Data Analytics, Industrial Engineering, or related business fields
Bachelor’s degree and 5 years’ experience in Data Analytics, Industrial Engineering, or related business fields
Associate’s degree and 7-9 years’ experience in Data Analytics, Industrial Engineering, or related business fields
at least 5 years’ experience working in teams, projects, and programs

Job Responsibility

Develop, calculate, and maintain key activity drivers to support supply planning teams
Analyze supply plans, demand/supply balances, and planning assumptions to identify risks, trends, and opportunities
Support scenario analysis and sensitivity analysis related to supply changes
Identify root causes of supply plan variances and performance gaps
Define, calculate, and track key performance indicators (KPIs) for the AXP organization
Design, build, and maintain dashboards and recurring reports to support operational and leadership reviews
Ensure data accuracy, consistency, and clarity across all reporting outputs
Continuously improve reporting tools and metrics based on business needs
Partner with Finance to translate supply plan variances into financial impact (e.g., cost, inventory, scrap, and revenue)
Support reconciliation of operational and financial views of supply performance

Fulltime

Senior Associate Data Analytics

The Senior Associate Medical Data Analytics will play a pivotal role in supporti...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Mathematics, Healthcare or a related field and 1+ year(s) of Medical Data Analytics, Commercial Data Analytics, Primary Market Research, Performance Reporting or related experience
Master’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 3+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience
Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 5+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Job Responsibility

Translate complex analytical findings into clear, data-driven recommendations that enhance MSL engagement strategies and contribute to improved patient outcomes
Conduct data analysis across structured and unstructured datasets including but not limited to HCP sentiment, scientific engagement data, and publications
Design, develop, and maintain dashboards, reports, and visualizations to track performance, measure outcomes, and identify actionable trends using Python, R, SQL, Tableau, Power BI, or similar platforms
Understand pharmaceutical ecosystem and data sets including prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), Lab as well as medical and pharmacy claims (ex. Symphony Claims.)
Establish and track KPIs to assess analytics impact and ensure alignment with business goals
Develop and deliver ad hoc data analyses that distill complex medical data into clear, actionable insights for stakeholders
Develop reusable code components, templates, and frameworks to support analytics scalability and lifecycle management
Collaborate with data science, IT, engineering, and external partners to ensure data access, integrity, governance, and seamless integration across platforms and systems
Contribute to Agile development workflows by collaborating in sprint planning, refining user stories, and delivering iterative analytics solutions aligned with business priorities
Continuously evaluate and introduce advanced techniques in visualization, predictive analytics, and automation

Ai and analytics associate, go-to-market

Instawork is on a mission to create meaningful economic opportunities for skille...

Location

United States , San Francisco

Salary:

100000.00 - 140000.00 USD / Year

Instawork

Expiration Date

Until further notice

Requirements

3+ years of experience in analytics, business operations, strategy & operations, management consulting, investment banking, or a high-growth technology startup
Strong analytical foundation, including fluency in Excel / Google Sheets and SQL
Interest in, or hands-on experience with, automation platforms and AI tools (e.g., Cursor) and APIs
Systems thinker who enjoys designing scalable solutions
Strong cross-functional communication skills
Highly curious, self-directed, and comfortable learning by tinkering in ambiguous problem spaces

Job Responsibility

Use SQL and analytics tools to build reliable data foundations and answer critical questions about market dynamics, funnel performance, and growth opportunities
Develop self-serve dashboards, analyses, and metrics that inform GTM strategy and day-to-day execution
Design and build AI-powered, end-to-end workflows that automate lead enrichment, routing, qualification, handoffs, and follow-ups across Sales, Marketing, and Account Management
Leverage AI, no-code, and automation tools to replace manual processes, improve data quality, and increase GTM productivity at scale
Define, track, and evolve core GTM KPIs to provide a holistic view of performance and attainment
Partner with stakeholders across Finance, Sales, and Account Management to surface insights, test hypotheses, and support planning, forecasting, and decision-making

What we offer

Equity in the form of stock options
Variety of medical, dental, and vision plans with coverage beginning on the date of hire
Flexible paid time off
At least 8 paid company holidays annually
Phone stipend
Commuter stipend
Supplemental pay on qualified leaves
Employee health savings accounts (HSA) contribution
Flexible spending plans
401K plan

Fulltime

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Business, Data Analytics and Insights Associate

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