Business Management Analyst
About the job
- A strong foundation in artificial intelligence, machine learning, data science, and advanced analytics.
- Hands-on experience with Python, SQL, CSS, HTML, scripting, Power BI or Tableau, Excel or VBA, and AI-powered productivity tools such as Copilot or generative AI platforms.
- Ability to leverage artificial intelligence, automation, and data analytics to identify opportunities for process optimization, risk reduction, and productivity enhancement.
- Knowledge of data modelling, predictive analytics, workflow automation, and intelligent decision-support solutions.
- Strong problem-solving skills and an AI-first mindset for reimagining processes and delivering business solutions.
- Experience translating business requirements into scalable data, automation, and AI-driven solutions.
- Stakeholder management, communication, and presentation skills to explain analytical concepts to non-technical audiences.
- Ability to manage multiple initiatives while maintaining governance, accuracy, and execution discipline.
- A bachelor's or master's degree in Business, Finance, Economics, Data Science, Computer Science, or a related discipline.
- Four to six years of experience as a Business Analyst or Data Analyst/Scientist.
- Experience in model design, process analysis, process redesign, capability mapping, and delivery of complex change or transformation initiatives.
- Ability to leverage AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
- Support delivery of Process Excellence and Operating Model transformation initiatives by partnering with Business, Operations, Technology, and COO stakeholders to improve efficiency, control, and client outcomes.
- Use data analytics, visualization tools, and self-service dashboards to generate actionable insights, support decision-making, and enable data-driven management reporting.
- Identify, evaluate, and prioritize automation, AI, and digital transformation opportunities through process assessments, benefit analysis, and business case development.
- Apply AI-first thinking and structured problem-solving to reimagine processes, reduce manual interventions, improve productivity, and enhance operational resilience.
- Support the design, testing, implementation, and monitoring of automation solutions, including workflow automation, reporting solutions, AI-powered use cases, and process optimization initiatives.
- Collaborate with cross-functional stakeholders to gather requirements, track deliverables, obtain sign-offs, and execute strategic and operational improvement projects.
- Use data science and analytical techniques to identify trends, root causes, risks, and efficiency opportunities, and translate findings into business recommendations.
- Support governance, change management, and project reporting by maintaining documentation, monitoring milestones, managing automation repositories, and supporting adoption of new solutions.
- Provide ongoing troubleshooting, user training, knowledge sharing, and continuous improvement to maximize value from automation and AI-enabled solutions.
- Experience in in-house consulting, strategy, COO, transformation, or business management teams within financial services.
- Familiarity with and interest in banking processes, products, and technology, and the impact of AI on the operating model.
About the company
Deutsche Bank finances companies, governments and individuals through a global banking network rooted in Germany and spanning major financial markets. Its investment bank focuses on bonds and currencies, alongside advice on mergers and raising capital, while its private bank handles household banking and wealth management. Businesses use its cash management, trade finance and lending services to move money and fund operations, and the group manages investment funds through DWS. It earns money from loan interest, transaction and investment fees, and trading activity. Deutsche Bank traces its founding to 1870 and is headquartered in Frankfurt am Main, Germany.
Company Size
10,001+
Company Stage
IPO
Headquarters
Frankfurt, Germany
Founded
1870
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Simplify's Take
What believers are saying
- Growth spans every division: July 2026 results show Deutsche Bank revenue rose 9% to €8.5 billion.
- Fee income broadens earnings: DWS charges management fees across active funds, Xtrackers index funds and alternative investments.
- Hybrid work reaches most staff: Deutsche Bank places 95% of its internal workforce within role-dependent remote-work eligibility.
What critics are saying
- Office exposure concentrates property risk: offices represent 35% of Deutsche Bank's commercial property loans reviewed in stress tests.
- Legal costs erode profits: July 2026 results show Corporate and Other's €151 million pretax loss, mainly from litigation.
- Bonuses arrive slowly: Deutsche Bank defers covered awards three to five years, exceeding minimum rules for certain employees.
What makes Deutsche Bank unique
- German small businesses reach three bank brands: Deutsche Bank, Postbank and digital bank FYRST share the group.
- Asset management has its own listed company: Deutsche Bank retains 79.5% of DWS.
- Autobahn unifies client workflows: Deutsche Bank links trading, research and transaction banking through one electronic gateway.
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Benefits
Health Insurance
Paid Vacation
Parental Leave
Family Planning Benefits
Professional Development Budget
Mental Health Support
Flexible Work Hours
Growth & Insights and Company News
6 month growth
2%1 year growth
8%2 year growth
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