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- Tasks: Drive data governance and delivery processes while collaborating with diverse teams.
- Company: Join Insight Investment, a leading asset manager with a collaborative culture.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on data transformation initiatives in a dynamic environment.
- Qualifications: Strong understanding of data platforms and excellent stakeholder engagement skills.
- Other info: Opportunity to work in a global network with a focus on innovation.
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 Manchester. 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’ll identify business needs, communicate insights, and provide guidance to ensure the successful implementation and transition of data solutions.
Responsibilities- 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 is optional but a willingness to learn is essential
- 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 (Manchester) employer: Insight Investment
Contact Detail:
Insight Investment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Analyst (Manchester)
✨Tip Number 1
Network like a pro! Reach out to current employees at Insight Investment on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by understanding their data governance frameworks and modern data platforms. Brush up on your SQL skills and be ready to discuss how you can contribute to their agile teams.
✨Tip Number 3
Showcase your collaborative spirit! Be ready to share examples of how you've worked with UX designers and stakeholders in the past. Highlighting your teamwork will resonate well with their culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the Insight Investment team.
We think you need these skills to ace Senior Business Analyst (Manchester)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Business Analyst role. Highlight your experience with data governance and agile methodologies, as these are key to what we’re looking for at Insight Investment.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you’ve successfully collaborated with teams, elicited requirements, or improved data processes. We love seeing real-world applications!
Be Clear and Concise: When writing your application, clarity is crucial. Use straightforward language to explain your experiences and achievements. Remember, we want to understand your impact quickly, so keep it focused and relevant.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
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 data governance frameworks. Brush up on concepts like ETL/ELT pipelines and be ready to discuss how these apply in a corporate setting. This will show that you're not just familiar with the theory but can also translate it into practical solutions.
✨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. This is crucial for showing 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 cross-functional teams, including UX designers and data engineers, to deliver user-centric solutions.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex SQL queries or data lineage documentation. Being able to explain intricate concepts in a straightforward manner will highlight your communication skills and make you stand out as a candidate who can effectively guide teams through data transformation initiatives.
