CrawlJobs Logo

Learning Analytics Specialist

pfizer.de Logo

Pfizer

Location Icon

Location:
Greece , Thessaloniki Chortiatis

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Learning & Development (Global L&D) at Pfizer empowers colleagues worldwide through impactful learning experiences. As part of the Learning Facilitation, Operations & Measurement team, this role supports a group that facilitates, markets, and measures the impact of learning to enable quantifiable business value. We harness data, analytics, and storytelling to understand what works, why it works, and how learning creates measurable business value. Your work as a Senior Associate, Learning Analytics Specialist helps ensure that learning investments translate into meaningful outcomes, driving growth, capability, and performance across the enterprise

Job Responsibility:

  • Leverage learning analytics to evaluate learning effectiveness, behavior change, and business impact across global L&D programs
  • Partner with L&D program owners and stakeholders to define metrics, KPIs, and evaluation strategies aligned to business priorities
  • Develop dashboards, impactful presentations, and data‑driven insights that inform learning strategy and investment decisions
  • Translate complex data into clear, compelling narratives through data storytelling, visualizations, and executive‑ready presentations
  • Ensure data integrity, consistency, and reliability across learning systems by applying strong data management and governance practices
  • Collaborate cross‑functionally to enhance analytics maturity, improve data capture, and evolve enterprise learning measurement frameworks
  • Support insight‑driven decision‑making by generating actionable recommendations that optimize learning outcomes and learner experience

Requirements:

  • BA/BS in relevant quantitative fields with 2+ years of experience, or MBA/MS in relevant quantitative fields with any years of relevant experience
  • Experience applying analytics to assess program effectiveness, performance, or business outcomes
  • Demonstrated experience with data analysis, dashboards, and analytics tools
  • Demonstrated experience working with disparate data sets
  • Proven ability to extract valuable insights from raw data
  • Proficiency in Microsoft Office applications, particularly Excel and PowerPoint, for data analysis, reporting, and data storytelling
  • Demonstrated ability to collaborate effectively with stakeholders through influence and consultation
  • Comfort working in a global, matrixed environment with multiple priorities
  • Strong interest in data and analytics
  • Strong English capabilities

Nice to have:

  • Exposure to analytics tools (Tableau, Power BI, Spotfire, Dataiku, etc.)
  • Experience in learning analytics, evaluation, or workforce development
  • Familiarity with learning systems, data modelling, and analytics platforms
  • Experience using common AI tools, including generative technologies such as Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices
What we offer:
  • Work life harmony
  • Disability inclusion
  • Equal employment opportunities
  • Reasonable adjustments to support application and future career

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Learning Analytics Specialist

Data Analytics Specialist

The Data/Information Mgt Int Anlst is a developing professional role. Deals with...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5-8 years relevant experience
  • Ability to think strategically and engage resources outside of direct control
  • Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
  • Big data and machine learning experiences (R, Python etc.) a plus
  • Business Analysis, Requirement Gathering, Data Analysis
  • Exposure in SAS, SQL, RDBMS
  • Proficient in MS Excel, PowerPoint, and VBA
  • Jira, Bitbucket
  • Good understanding of banking domain and consumer products (cards, Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) preferred
  • Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute
Job Responsibility
Job Responsibility
  • Remediation analysis: Execution of comprehensive data remediation approach on Customer issues
  • Impact assessment: Identification of size of customers and dollar amount impacted
  • Issue Management & Root cause analysis: Identifying issues and reasons by leveraging analytical methods
  • Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
  • Daily deliverable of routine and defined outputs
  • Appropriately assess risk when business decisions are made
  • Fulltime
Read More
Arrow Right

AI & Analytics Workload Specialist

The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skille...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases
  • proven experience developing or deploying AI-powered applications such as Retrieval-Augmented Generation (RAG) systems, conversational AI/chatbot solutions, ML model pipelines for analytics or inference
  • strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs)
  • hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering
  • experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus
  • familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus
  • strong written and verbal communication skills, with the ability to explain complex technical ideas clearly
  • bachelor’s degree in computer science, Data Science, Engineering, or a related technical field.
Job Responsibility
Job Responsibility
  • apply technical expertise to design and validate AI/Analytics workload solutions
  • contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials
  • collaborate with stakeholders to define the scope and align solutions with business needs
  • leverage internal infrastructure and AI-powered tools to accelerate development and validation
  • create compelling enablement content for the field, partners, and customers
  • support solution adoption through TekTalks, webinars, Slack forums, and internal events
  • integrate assets with field tools and help measure asset utilization
  • invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP)
  • contribute to team goals, mentor peers, and participate in a collaborative engineering environment.
What we offer
What we offer
  • health and wellbeing benefits
  • personal and professional development programs
  • inclusive workplace environment.
  • Fulltime
Read More
Arrow Right

Artificial Intelligence/Machine Learning Specialist

Satsyil Corp is looking for an Artificial Intelligence/Machine Learning Speciali...
Location
Location
United States , Herndon; Tysons
Salary
Salary:
Not provided
satsyil.com Logo
Satsyil Corp
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of proven leadership roles and skills related to Artificial Intelligence implementation with professional experience in applied implementation of Natural Language Processing (NLP), Expert Systems Evolutionary Computation & Deep Machine Learning/Neural Networks domain
  • Proven experience in applications of AI in decision augmentation
  • Proven public sector and/or corporate experience leadership with major deep learning initiatives that resulted in measurable improvements with a sound Al strategy aligned with an overall (digital) business strategy
  • Ability to transform complex business requirements into elegant technology solutions capable of integration with tools including proficiency in leveraging business processes into solution design and operationalization
  • Technically oriented and personally proactive with extreme attention to detail
  • Ability to work effectively on independent projects as well as collaborate across multiple business units within team environments, including superior communication skills to effectively engage diverse groups of stakeholders
  • Experience developing AI policy
  • Ability to lead in a fast paced and dynamic environment
Job Responsibility
Job Responsibility
  • Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and reliability in Patent and Trademark systems
  • Establish solutions to gain efficiencies using Artificial Intelligence for the following processes: image search, classification, retrieval of prior art, analysis of incoming applications, and information management
  • Develop Artificial Intelligence and Machine Learning capabilities to drive improvements to agency operations including classifying, routing, and evaluating patent applications, as well as enhance enterprise-wide information technology platforms, automation, and data analytics
  • Create solutions that will identify or reduce improper activities and fraudulent imagery, provide new capabilities to assist examiners and trademark attorneys to complete thorough searches and examination
  • Improve the customer experience for applicants and the public and transform data into actionable business intelligence
  • Capture specific AI/ML technology capabilities (e.g. strategies, roadmaps, playbooks) to document best practices across government
  • Analyze and explain AI/ML solutions while setting and maintaining high ethical standards
  • Collaborate with internal team and/or private industry partners to understand and bring to bear innovative AI/ML and digital technologies to transform business processes
Read More
Arrow Right

Marketing Analytics Specialist

We are seeking a highly skilled Marketing Analytics Specialist with strong exper...
Location
Location
India , Delhi
Salary
Salary:
Not provided
thirdeyedata.ai Logo
Thirdeye Data
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6–8 years of experience in marketing analytics, data science, or related field
  • Proven experience applying AI/ML techniques to marketing problems (e.g., clustering, classification, regression, recommendation engines)
  • Advanced proficiency in SQL and experience working with large datasets
  • Strong programming skills in Python or R for data analysis and modeling
  • Familiarity with marketing platforms and tools (e.g., Google Analytics, Adobe Analytics, CRM systems)
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker)
  • Solid understanding of marketing funnels, attribution, and customer journey analytics
  • Experience with statistical testing, experimentation, and A/B testing
Job Responsibility
Job Responsibility
  • Analyze marketing performance across channels using advanced data techniques
  • Build dashboards and reports to monitor KPIs such as customer acquisition, conversion, engagement, and ROI
  • Develop and apply machine learning models for customer segmentation, churn prediction, recommendation systems, and lifetime value estimation
  • Design and evaluate A/B tests and experiments to support marketing optimization
  • Partner with cross-functional teams (Marketing, Product, Data Engineering, Data Science) to define metrics and improve campaign targeting and personalization
  • Translate complex analytical findings into clear business insights and recommendations
  • Ensure high standards of data quality, integrity, and governance across tools and systems
Read More
Arrow Right

Counterparty Risk Portfolio Analytics and Models specialist

The Counterparty Credit Risk Portfolio Analytics and Models specialist is a seni...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience
  • working experience in a quantitative field, Financial/Banking industry preferred
  • strong quantitative skills, particularly with respect to counterparty credit risk measures and calculations
  • deep modeling expertise and experience with analytic techniques and tools
  • excellent analytical thinking, practical problem solving abilities, and partnership skills
  • expertise in R, Python, H2O, and SAS
  • willing to learn and can-do attitude
Job Responsibility
Job Responsibility
  • Lead the optimization of the key counterparty risk and liquidity metrics used to monitor the risk appetite and risk capacity of the business against limits
  • accuracy and completeness of Credit Data: ensure that data captured in our counterparty credit infrastructure are in line with the approvals and conform to best in class standards
  • on-going monitoring and portfolio risk drivers identification processes: deliver timely, high-quality analysis of existing portfolio exposures including pockets of client trades and or/collateral concentrations
  • support the integration of the risk management processes for Wealth Management exposures and portfolios into the ICM operating model
  • ensure timely tracking and escalations around exposure and losses monitoring
  • partner with the CCR Models’ Sponsors and relevant Risk teams for the aspect of the Model Risk Governance related to changes, processes and procedures
  • establish relationships with a network of key stakeholders, partnering with senior colleagues in the Business as well as with risk management, technology, reporting and operations teams to drive implementation of strategic initiatives
  • Fulltime
Read More
Arrow Right

Ai Specialist

GoFundMe is looking for a dedicated Artificial Intelligence (AI) Specialist to j...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing an M.S., or Ph.D. in Computer Science, Artificial Intelligence, NLP, Machine Learning, or a related discipline
  • Hands-on experience with LLMs and/or agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Proficient in Python and familiar with modern AI tools and APIs
  • Understanding of prompt engineering, tool use, and agent architecture patterns
  • Comfortable working in a fast-paced, research-meets-production environment with ambiguity and exploration
  • Passion for organization and documentation
  • Strong written and verbal communication skills and ability to build strong relationships and trust with all partners at GoFundMe both technical and non-technical
Job Responsibility
Job Responsibility
  • Prototype LLM-based agents with advanced reasoning, planning, and long-term task decomposition capabilities
  • Explore multi-agent orchestration using frameworks like LangGraph, CrewAI, and Google ADK
  • Implement agent memory architectures like Pinecone, ChromaDB, or Weaviate, enabling persistent context across conversations and workflows
  • Integrate external APIs, internal tools, and structured data into agentic planning and execution flows
  • Help build scalable evaluation pipelines, including human-in-the-loop and automated testing frameworks
  • Contribute to our safety, governance, and observability tooling—embedding transparency and accountability into agent behavior
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering and Gives Back programs
Read More
Arrow Right

Supply Chain Specialist

Supply Chain Specialist role focusing on data-driven strategies to enhance partn...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Supply Chain, Operations Research, or a related field (equivalent experience also considered)
  • 5+ years of experience in analytics, category/supply chain management, or ERP systems
  • Proficiency in statistical modeling, predictive analytics, and continuous improvement methods
  • Demonstrated success leading cross-functional teams and influencing decisions through data
  • Experience working in fast-paced, global environments
Job Responsibility
Job Responsibility
  • Design and lead data-driven strategies to enhance claims processes, optimize costs, and improve supply chain agility
  • Implement large-scale analytics programs using automation, predictive analytics, and machine learning
  • Analyze partner claims for accuracy, identifying unapproved, misclassified, or out-of-scope spend
  • Work with stakeholders to maintain component pricing records and ensure all fields are accurate
  • Publish the quarterly pricing report and maintain an active record of changes
  • Engage with LTB team on LTB components and ensure partners are pricing with LTB material
  • Collaborate with cross-functional teams and senior leaders to align analytics strategies with business goals
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Fulltime
Read More
Arrow Right

Runway Safety Specialist

The jobholder will act as Runway Safety Specialist, and will notably actively co...
Location
Location
France , Toulouse
Salary
Salary:
Not provided
navblue.aero Logo
NAVBLUE Limited
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Aeronautical Engineering or equivalent
  • Demonstrated strong analytical and technical skills
  • Technical: Modeling, Machine learning, Algorithm
  • Coding: Python, Matlab, Simulink, Git
  • Preferably 3 Years of experience
  • A first experience in Aircraft Manufacturer or Avionic supplier (System and/or Aircraft Performance)
  • Recognized for your agility and analysis skills for complex technical topics
  • Ability to travel internationally (3-5 Domestic and International travels a year)
Job Responsibility
Job Responsibility
  • Contributing to ROAAS development activities for a dedicated Aircraft manufacturer by Generating ROAAS performance database and supporting material for its certification
  • Providing system logics and modeling to simulate landing distance performance computation and operational procedure for ROAAS on non-Airbus development
  • Analyzing current Airbus design and propose new solutions adapted to non-Airbus aircraft specificities
  • Proposing new ways of working and to ensure the performance of non-Airbus activities by challenging and optimizing existing development (Airbus or Non Airbus)
  • Supporting ROAAS operators and ensuring technical support once solution in service
  • Participating in meetings and reviews with Airbus engineering teams on ROPS & ROAAS development
  • Mid Term evolution: depending on your learning path & motivations, you could be involved by: Assessing latest ROPS development and certification demonstrations and check applicability to non-Airbus design to enrich specification to the highest level of maturity
  • Participating in Intellectual Property protection activities in coordination with relevant Airbus stakeholders (Intellectual Property, Legal etc…)
Read More
Arrow Right