Principal Business Analyst - Data Technology Platforms

Principal Business Analyst - Data Technology Platforms

Full-Time 75600 - 92400 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data solutions delivery and collaborate with stakeholders to drive business outcomes.
  • Company: Join Schroders, a global investment manager with a rich history and innovative culture.
  • Benefits: Flexible working arrangements, competitive salary, and opportunities for personal growth.
  • Other info: Diverse and inclusive workplace that values your unique perspective.
  • Why this job: Make an impact in a dynamic tech environment while shaping the future of data management.
  • Qualifications: Experience in business analysis, strong SQL skills, and a passion for data technology.

The predicted salary is between 75600 - 92400 £ per year.

We are looking for a data focused Principal Business Analyst to join the Data Technology Platforms Team within Asset Management Platform. The team owns the data platform at Schroders and supports data delivery for all business units including Public and Private Assets, Client, Corporate and Operations and Wealth Management. This includes a broad range of data applications from Reference Data Masters, Operational Data Stores to Analytics and AI applications.

We need a business analyst who also knows their way around a database, who understands the business use of data, the importance of governance and standards, balanced against constant demand for delivery. They must have detailed knowledge of CRM systems, Client Lifecycle and data and analytics associated with these processes.

What you’ll do:

  • Represent the Data Technology Platforms team across a portfolio of concurrent initiatives, ensuring delivery of data solutions that provide clear business outcomes.
  • Independently lead discovery and requirement elicitation with business stakeholders; facilitate workshops, challenge assumptions, resolve ambiguity, and drive timely decisions.
  • Translate business needs into clear, testable specifications, including epics/user stories, acceptance criteria, process flows, data definitions, source-to-target mappings, and data quality/control requirements.
  • Partner with data engineers, architects, QA, and support teams to shape solution options, assess feasibility, and ensure end-to-end traceability from requirements through to implementation.
  • Use SQL to investigate, profile, and validate data in SQL Server and Snowflake, supporting impact analysis, reconciliation, defect triage, and UAT readiness.
  • Support testing and release activities end-to-end: defining test scenarios, coordinating UAT, validating outcomes (including data reconciliation), managing defects, and confirming production readiness.
  • Own change through to production, including cutover planning inputs, release notes, operational handover to first-line support, and early-life support coordination.
  • Manage priorities across multiple projects, proactively surfacing risks, dependencies, and delivery trade-offs.

The knowledge, experience, and qualifications you need:

  • Proven experience as a Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment.
  • Strong SQL querying skills (analysis, reconciliation, data validation) with experience working with SQL Server and Snowflake (or equivalent modern cloud data warehouse plus willingness to ramp up quickly).
  • Strong requirements engineering capability: elicitation, structured documentation, acceptance criteria, traceability, and stakeholder sign-off.
  • Ability to challenge requirements and proposed solutions constructively, balancing short-term delivery with strategic alignment.
  • Excellent stakeholder management and communication skills, including experience working with senior business and technology stakeholders.
  • Strong analytical and problem-solving skills; comfortable working with large, complex datasets.
  • Strong delivery discipline: able to manage multiple workstreams, maintain momentum, and coordinate across teams.

The knowledge, experience, and qualifications that will help:

  • Deep understanding of client onboarding, client servicing and client lifecycle management processes.
  • Experience working with Salesforce, including customer or client data, workflows, reporting and integrations.
  • Strong knowledge of CRM operating models, including client, prospect, intermediary and relationship-manager data.
  • Understanding of client, contact, account, relationship, hierarchy and interaction data, including how these entities are linked and maintained.
  • Experience delivering client lifecycle analytics, such as onboarding progress, client engagement, pipeline conversion, retention and servicing activity.
  • Strong awareness of CRM data quality, ownership, duplication, standardisation, lineage and governance.
  • Own and articulate the product vision and roadmap for Client/CRM data capabilities, aligned to business and client outcomes.
  • Experience working with marketing data and campaign processes, including audience segmentation, campaign execution, engagement tracking, lead management and response analysis.
  • Experience in associated Investment Management data domains (e.g., holdings/positions, transactions, pricing, reference data, benchmarks, performance, risk, sustainability).
  • Familiarity with data platform concepts such as batch/stream processing, orchestration patterns, data lineage/metadata, and data quality monitoring.
  • Experience working in Agile or hybrid delivery models (backlog refinement, sprint ceremonies, defining “definition of ready/done”).
  • Exposure to production support models, operational readiness, and support handover for data services.

What you’ll be like:

  • A team-oriented individual.
  • Flexible, self-motivated, enthusiastic, and willing to learn.
  • A critical thinker who’s able to look at things from different angles.
  • Great at unpicking a problem from start to end, owning and delivering the solution.
  • Able to work under pressure, on several priorities at once.
  • Great at working with other people, sharing, and communicating decisions but can also work without supervision.
  • Keen to improve what we do for our clients.

We recognise potential, whoever you are: Our purpose is to deliver excellent investment performance to clients through active management. We believe diverse perspectives and an inclusive culture help us make better decisions and achieve better outcomes for our clients. That's why inclusion is a strategic priority for us, and we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic. We will consider flexible working arrangements for all roles and provide reasonable accommodations to support applicants and employees, including those with neurodiversity, disability, or physical and mental health needs.

Principal Business Analyst - Data Technology Platforms employer: Schroders Group

Schroders is an exceptional employer, offering a dynamic work environment in the heart of London’s financial centre. With a strong emphasis on employee growth and flexible working arrangements, we foster a culture that values diverse perspectives and encourages innovation. Our commitment to personal performance and well-being ensures that you can thrive both professionally and personally while contributing to meaningful projects in the asset management sector.

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Contact Details:

Schroders Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Business Analyst - Data Technology Platforms

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We think you need these skills to ace Principal Business Analyst - Data Technology Platforms

SQL querying skills
Data validation
Requirements engineering
Stakeholder management
Analytical skills
Problem-solving skills
Client lifecycle management

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Schroders Group, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Schroders Group

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Schroders Group’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.