Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics and MI Lead

SEI Investments Company
City of London
1 week ago
Applications closed

Related Jobs

View all jobs

Head of Data Analytics & Insights

Head of Data Analytics & Insights

Claims Data Scientist

Manager Risk Mi & Data Governance

Legal Data Analytics Manager

HR Data Analyst

What you will do:

  • Develop and implement scalable data analytics frameworks to streamline reporting processes and ensure consistent delivery of key business insights.


  • Act as a strategic bridge between business stakeholders and data teams, translating commercial objectives into actionable Power BI solutions.


  • Design and maintain intuitive Power BI dashboards focused on user experience and business impact, enabling non-technical users to self-serve and explore data confidently.


  • Lead initiatives to standardise KPIs and reporting frameworks across departments, improving alignment and decision-making at senior leadership level.


  • Utilise Power BI as a storytelling tool to highlight trends, risks, and opportunities, directly supporting strategic planning and operational improvements.


  • Embed data governance and quality checks within reporting frameworks to ensure accuracy, trust, and compliance with business standards.


  • Partner with cross-functional teams (Operations, Service, Technology) to identify insight gaps and develop tailored MI that drives performance and accountability.


  • Advocated a business-first approach to analytics—focusing on delivering value and clarity rather than technical complexity.


  • Enable data-driven culture by coaching business users on interpreting Power BI insights and encouraging evidence-based decision making.


  • Champion continuous improvement by gathering feedback on MI tools, refining frameworks to better meet evolving business needs.



What we need from You:

  • Demonstrable experience of business-focused data analytics, MI reporting and business intelligence experience, ideally within financial services or wealth management with a proven ability to translate data into actionable insights driving strategic and operational decision-making


  • Storytelling is key; you need to be confident in proposing new and innovative ways to translate our data into meaningful information, driving business-facing insights and frameworks.


  • Your deep understanding of MI, reporting, and data governance practices, will include KPI definition, data quality assurance, and regulatory reporting requirements


  • Demonstrated experience in designing and implementing MI and reporting frameworks, ensuring scalability, consistency, and reusability across business units.


  • Experience designing and implementing analytics frameworks, ensuring consistency, reusability, and alignment across multiple business units and data sources


  • Proven capability to engage with senior stakeholders and non-technical users, translating analytical output into clear narratives and insights that support decision-making at all levels


  • Familiar with agile and iterative development methodologies, with an ability to manage evolving requirements while maintaining data integrity and business alignment


  • Degree educated (or equivalent) in a relevant field (e.g. Data Analytics, Business Intelligence, Computer Science, Mathematics, or Economics) with strong analytical foundations.


  • Proficient in Power BI, including DAX, data modelling, and dashboard design, with a clear focus on usability and alignment to business goals.


  • Strong SQL skills for data extraction, transformation, and analysis from relational databases; experienced in querying large and complex datasets.


  • Hands-on experience with SSIS (SQL Server Integration Services) for building and maintaining robust ETL processes and data pipelines.


  • Understand and have worked with data architecture principles, including data warehousing, dimensional modelling, and integration of multiple data sources.



What we would like from you:

  • A collaborative, results-driven mindset, with a commitment to team success, continuous improvement, and delivering analytics solutions that add real business value.


  • An ability to display leadership; skills to allow you to work with a wide range of people across the business from our senior leadership and skill sets


  • Knowledge of core investment processing / wealth management transaction processing, trade flow, custody & accounting, cash processing, etc.


  • Ability to work effectively in a team environment, with a singular commitment to the accomplishment of team results


  • Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun. Please see our website for more information.



SEI is an Equal Opportunity Employer and so much more…


After over 50 years in business, SEI remains a leading global provider of investment processing, investment management and investment operations solutions. Reflecting our experience within financial services and financial technology our UK office is based between the City of London and the growing technology hub of Shoreditch. The open plan nature of our office space, flowing lines and numerous art installations are designed to encourage innovation and creativity in our workforce. We recognise that our people are our most valuable asset and are (literally) invested in your success; we know that a healthy, happy and motivated workforce is key to our continued growth. We are focused on ensuring a healthy work-life balance and offer our employees benefits which include private medical care for you and your family, access to GPs online for appointments, enhanced family leave, volunteer days, access to thriving employee networks and not forgetting free fruit twice a week.


SEI Investments (Europe) Limited (‘SIEL’) is authorised and regulated by the Financial Conduct Authority (FRN 191713).


AI Acceptable Use in the application and interview process:


SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.