Senior data analyst állások, munkák Németországban

As a digital system provider for Lidl's online business, we at Lidl e-commerce create efficient, scalable digital products and services and develop them further for the future. As a brand of the IT and digital division Schwarz Digits, our divisions are divided into Commerce Platforms, Marketing...

Own and manage defined RevOps and commercial strategy topics, applying a solid understanding of commercial methods, systems and processes. Be accountable for outcomes across areas such as funnel performance, pricing effectiveness, customer lifecycle and retention...

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.

• Support the MSESE and MSBAG Chief Compliance Officer in the following:
• Coordination of the annual Securities Trading Act Audit (WpHG) of MSESE & MSBAG
• Liaison with the Infrastructure functions to provide advice on compliance and regulatory matters

• Being part of our Data & Process Integration Services Team in an international IT set-up
• Strong cooperation with BI & Analytics Applications Team in (Barcelona, Spain)
• Consulting and Management of Stakeholders as a primary contact to drive SAP BW/Reporting solutions

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• Being part of our Finance & Controlling Applications Team in an international IT set-up
• Consulting and Management of Stakeholders as a primary contact to drive FI & CO applications
• Demand Management to understand business needs and derive IT solution requirements

• Translate data into actionable insights that shape our marketing strategy and investments.
• Partner with marketing stakeholders to identify opportunities, define KPIs, and measure success.
• Build clear, engaging dashboards and reports that highlight trends and tell compelling stories.

• Quantitative Analysis: Use Python and other tools to analyze and optimize trading operations, and develop new strategies.
• Live Trading: Monitor markets, prices, and live trading results; react quickly to anomalies; improve our automated processes.

In this position, you will be responsible for conducting exploration of cutting-edge AI technologies (LLMs, RL, multi-agent AI, autonomy, generative AI, etc.), designing and building rapid prototypes, proof-of-concepts, and demonstrators, as well as evaluating technical feasibility, system impact,...

You enthusiastically join our origination activities and develop sophisticated pitch presentations as well as tailor-made multi-product solutions for our corporate clients....

• Contribute to strategy workshops with cross-functional leaders, supporting the definition of long-term goals and strategic priorities
• Identify, analyze and track trends, changes, and disruptions in relevant markets and competitors and derive implications for TKE

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

• Conducting risk identification, measurement and assessment
• Monitoring for compliance with laws, rules, regulations and policies, including the identification and investigation of conduct related issues
• Participating in firm responses to regulatory examinations, audits and inquiries

• Monitor risk limits and exposures (market, liquidity, counterparty) and support escalations
• Run and validate core risk metrics and risk-bearing capacity calculations
• Maintain and automate risk dashboards, data checks, and reporting pipelines
• Support stress tests and scenario analyses for market events

• Perform business analysis on product requirements and technical workflows
• Collaborate on projects of a technical nature, supporting implementation and ensuring alignment with product goals
• Gather, document, and refine business requirements in cooperation with stakeholders

• Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions
• Foster a culture that values data-driven decision-making within the organization and aid in the enhancement of our data platform

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• Lead performance analysis by identifying key trends, risks, and opportunities based on large and complex data sets.
• Translate financial and business questions into structured data-driven analyses and scenario models.

• Act as the primary liaison between business stakeholders and technology teams;
• Gather, analyse, and document business and functional requirements;
• Translate business needs into user stories, functional specifications, and process models;