Data Analytics & Digital Business / Data Modelling Job at Proclinical (Munich)

Data Modeller

Join us as a Data Modeller at Barclays, where you'll spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Collaborates with data engineers to test and validate the data models
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing
Collaborates with data engineers to translate into physical data models and throughout the development lifecycle
Manages the business as usual ‘BAU’ data model and solution covering enhancements and changes
Helps DSA in defining the legacy estate migration and decommissioning roadmap for the assigned BUK data domain
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills

Job Responsibility

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Consult on complex issues

What we offer

Hybrid working
We’re committed to providing a supportive and inclusive culture and environment for you to work in
We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success

Fulltime

Data Modeler

Join us as a Data Modeler at Barclays where you will spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Design and implementation of high-quality data models that optimize data access, storage, and analysis
Experience in ER Studio
Creation of comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Partnering with business stakeholders to understand their data needs and translate these requirements into clear data modelling specifications
Collaboration with data engineers to translate into physical data models and throughout the development lifecycle
Continuously monitor and optimize the performance of the models to ensure efficient data retrieval and processing
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems

Job Responsibility

Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence
Harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions
Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products
Work with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications
Test the data models with data engineers and continuously monitoring and optimizing the performance of these data models
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources

What we offer

Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to providing a supportive and inclusive culture
Opportunity to explore flexible working arrangements
Chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business
Encouragement to embrace mobility, exploring every part of our operations as you build your career

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Lead Advanced Analytics, Digital & AI Products

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of...

Location

India , Bangalore

Salary:

2940000.00 - 4170000.00 INR / Year

Airbnb

Expiration Date

Until further notice

Requirements

Min 8 or more years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Strong expertise in Python, SQL, A/B testing platforms and best practices
Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy)
Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience designing and building metrics, from conception to building prototypes with data pipelines

Job Responsibility

Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day product analytics and build scalable analytical solutions
Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience
Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space
Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines
Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows
Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations
Translate insights into strategic recommendations for senior leaders
shape product priorities through data

What we offer

bonus or incentives
one or more equity programs
benefits
Employee Travel Credits

Data Product Specialist

Join our Global Digital & Loyalty team as a Data Product Specialist who lives an...

Location

Poland , Warszawa

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Responsive to evolving business needs
Analytical thinker who balances creativity with pragmatism
Excellent communicator in English, able to translate complex concepts for technical and non-technical stakeholders
Customer-obsessed problem solver who collaborates across geographies and levels
Curious lifelong learner with a passion for retail, loyalty programs and emerging analytics techniques
Higher degree in Engineering, Data Science, Statistics or a related analytical discipline
3+ years of experience in one or more of: data engineering, data analytics or data stewardship
Strong awareness of data governance frameworks and privacy regulations (e.g., GDPR)
Hands-on with analytical tools such as Power BI, Excel and cloud data warehouses
Familiarity with mobile analytics platforms (e.g., Google Analytics) and loyalty program data is a plus

Job Responsibility

Partner with the Group Product Manager to maintain the data product vision, roadmap and backlog with clear acceptance criteria and measurable outcomes
Translate business questions into metric definitions, data models and scalable self-service data products
Collaborate with Digital Analytics to ensure accurate tagging of key user events in mobile apps (e.g., GA4)
Coordinate with Data Engineering to integrate mobile apps and retail loyalty datasets for a unified end-to-end customer journey
Monitor data pipelines, investigate quality issues and implement automated validation, alerting and remediation processes
Operationalize data governance, privacy and security requirements
Maintain the data catalog and lineage documentation to support discovery
Define and enforce data contracts, SLAs and schema-change processes with source teams
Liaise with Product Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting
Conduct stakeholder interviews to confirm data readiness for key insights and dashboards

What we offer

Contract of employment
Annual bonus
Private medical care
Cafeteria Platform/Multisport
English lessons subsidized by the company
Group insurance
Attractive discounts for products and services at our stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Modern and convenient office

Fulltime

Commercial Business Analyst

The Commercial Business Analyst at Big Health develops a deep understanding of p...

Location

United States

Salary:

125000.00 - 150000.00 USD / Year

Big Health

Expiration Date

Until further notice

Requirements

3-6 years of experience in healthcare analytics, healthcare business analysis, or data science (e.g., digital health, payer, provider, health tech)
Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Health Informatics) or equivalent practical experience
Experience working with healthcare datasets (e.g., claims, EMR/EHR, digital engagement data)
Strong analytical skills and experience with data modeling and performance measurement in a healthcare context
Proficiency in SQL and experience with at least one analytics language (e.g., Python) for querying, transforming, and analyzing datasets
Experience building reports and dashboards in modern BI tools (e.g., Looker, Tableau, Power BI) to support data-driven decision-making
Familiarity with CRM and commercial reporting (ideally Salesforce), including connecting accounts, pipeline, and revenue metrics to program performance and outcomes
Demonstrated experience using or enabling LLM-based tools to accelerate analysis, insight generation, or content creation, and contributing to the design of AI-powered assistants or automated workflows
A track record of using data to deliver actionable insights and performance improvements in a fast-paced, high-growth environment

Job Responsibility

Define and maintain KPIs and metrics across the customer and patient lifecycle
Use BI tools (e.g., Snowflake, Looker, Salesforce) to build and maintain internal and external reporting, such as OKR dashboards, scorecards, and healthcare program performance
Work closely with Engineering and Product (Studio) teams on underlying data models, metric definitions, and data pipelines to ensure consistency across the organization
Support development of QBRs, executive business reports, and Board materials by assembling data, generating insights, building visualizations, and crafting clear narratives for clinical, operational, and financial KPIs
Design. launch, and operationalize LLM-enabled workflows and AI-powered assistants that turn raw data into usable narratives and insights (e.g., summarizing account performance, drafting QBR materials, synthesizing qualitative feedback), in close partnership with Studio
Evaluate emerging LLM/AI capabilities to automate or augment commercial reporting and decision-making (e.g., automated account health digests, opportunity risk flags, pipeline and utilization summaries)
Analyze data to identify trends, leading indicators, and risk signals related to program health, customer satisfaction, renewals, and expansion opportunities

What we offer

generous vacation policy
professional development fund
flexible working arrangements
stock options

Fulltime

Data Scientist - Digital

Our Global Data & Analytics (D&A) team is the hub of harvesting and analyzing da...

Location

United States

Salary:

75000.00 - 85000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor's Degree or related experience
Proficiency in SQL, Python, and R
Familiarity with big data platforms, cloud-based ML/AI services, and MLOps best practices
Experience using foundational text/vision/multimodal models, finetuning foundational models and familiarity with generative AI frameworks (e.g., Hugging Face, Google Vertex AI, Azure AI foundry, LangChain) is highly desirable
Strong communication skills, with the ability to explain complex technical concepts to both technical and business audiences
Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
Commitment to continuous learning and professional growth in the rapidly evolving field of digital and Gen AI analytics
Must perform well in high pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision

Job Responsibility

Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement
Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences
Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce
Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures
Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines
Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions
Serve as an advanced analytics subject matter expert (SME) for the broader analytics team
Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies
Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics
Ensure data integrity and a single source of truth

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Data Analytics & Digital Business / Data Modelling

Proclinical

Location:
Germany , Munich

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

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