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- Tasks: Collaborate with teams to enhance data governance and delivery processes.
- Company: Insight Investment, a leading asset manager with a global presence.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Why this job: Drive data transformation initiatives and make a real impact in the financial sector.
- Qualifications: Experience in data platforms, governance frameworks, and agile methodologies.
- Other info: Join a dynamic team focused on innovation and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
Insight Investment is looking for a Senior Business Analyst to join the Core Data Engineering team in London. With a primary focus on the end-to-end data lifecycles within the enterprise, you will work collaboratively within an established team to drive continuous improvement of our data governance and delivery processes, ensuring robust support for current and new operations.
You will partner closely with data consumers, product owners, engineers, and analysts to proactively elicit clear requirements that can be understood and delivered across a variety of business streams. In addition to enhancing our current data capabilities, you will actively seek opportunities to support the onboarding of solutions into our new data platform, which is presently under development.
Success in this role will require you to work hand-in-hand with both Business stakeholders and agile teams, championing data transformation initiatives that focus on technology modernisation, strengthened data governance, and fostering enterprise-wide data democracy. You will identify business needs, communicate insights, and provide guidance to ensure the successful implementation and transition of data solutions.
Role Requirements- Collaborate across consumers, operations and technology to elicit, document and communicate business requirements
- Translate complex problems into clear, outcome-focused user stories
- Ensure alignment with data governance, compliance, and audit expectations
- Facilitate impact assessments and support data lineage documentation
- Partner with UX designers to shape user-centric solutions
- Support training and onboarding activities related to data processes and tools
- Strong understanding of modern data platforms and their application within a corporate enterprise
- Knowledge of data governance frameworks, e.g. DCAM and practical application across data management, quality, usage, classification, and architecture
- Data engineering concepts such as ETL/ELT pipelines and structured data management
- Familiarity with data modernisation strategies
- An awareness of metadata cataloging tools and their operational usage
- Financial services experience and knowledge of asset management data domains such as holdings, transactions, pricing and reference data
- An appreciation for working within an agile mindset in a regulated environment
- Experience working across multiple squads and coordinating with UX designers, data engineers, and governance leads
- Strong requirement elicitation and stakeholder engagement skills
- Ability to write clear outcomes and user stories for agile delivery
- Experience collaborating with UX designers to align business needs with user experience
- Proficiency in documenting data lineage and business rules
- Skilled working to understand and explain complex SQL queries
- Capability to perform impact assessments across systems and processes
- Competence in supporting training and knowledge transfer activities
Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition@InsightInvestment.com.
About Insight Investment: Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at: www.insightinvestment.com.
Senior Business Analyst (London) employer: Insight Investment
Contact Detail:
Insight Investment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Analyst (London)
✨Tip Number 1
Network like a pro! Reach out to current employees at Insight Investment on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Business Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews by brushing up on your data governance knowledge and agile methodologies. Be ready to discuss how you've tackled complex problems in the past and how you can contribute to their data transformation initiatives.
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that highlight your experience with data platforms, ETL processes, and user-centric solutions. This will give you an edge and demonstrate your hands-on expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Insight Investment team.
We think you need these skills to ace Senior Business Analyst (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Business Analyst role. Highlight your experience with data governance, agile methodologies, and any relevant financial services background. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data transformation and how you can contribute to our Core Data Engineering team. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your collaboration skills in your application. Share examples of how you've successfully partnered with stakeholders or UX designers in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to hear from you!
How to prepare for a job interview at Insight Investment
✨Know Your Data Inside Out
Make sure you have a solid understanding of modern data platforms and their applications within a corporate environment. Brush up on data governance frameworks like DCAM, as well as data engineering concepts such as ETL/ELT pipelines. This knowledge will help you articulate how you can contribute to the team.
✨Master Requirement Elicitation
Prepare to demonstrate your skills in eliciting and documenting business requirements. Think of examples where you've successfully translated complex problems into clear, outcome-focused user stories. Being able to communicate these effectively will show that you can bridge the gap between technical teams and business stakeholders.
✨Showcase Your Agile Mindset
Since the role involves working within an agile environment, be ready to discuss your experience with agile methodologies. Share specific instances where you've collaborated with multiple squads or UX designers to deliver user-centric solutions. This will highlight your adaptability and teamwork skills.
✨Prepare for Impact Assessments
Familiarise yourself with performing impact assessments across systems and processes. Be prepared to discuss how you've supported training and onboarding activities related to data processes and tools. This will demonstrate your ability to ensure smooth transitions and effective knowledge transfer.