At a Glance
- Tasks: Bridge the gap between business needs and technical delivery in data analytics.
- Company: Join a leading firm in Insurance and Financial Services with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with senior stakeholders and coordinate offshore teams in a dynamic environment.
- Why this job: Make a real impact by supporting cutting-edge reporting and business intelligence solutions.
- Qualifications: 5-10 years in Technical Business Analysis and strong Power BI skills required.
The predicted salary is between 59400 - 72600 £ per year.
Role: Technical Data Business Analyst (Data & Reporting)
Location: London (2/3 days per week onsite with client)
Type: Permanent
Start: ASAP
Power BI experience is a must.
Data Analytics experience is a must.
Overview: We're looking for a strong Technical Data Business Analyst with experience sitting between business stakeholders and technical delivery teams. The role sits within a Data & Analytics environment, supporting reporting and business intelligence solutions for Insurance and Financial Services clients.
Qualifications and experience we consider to be essential for the role:
- 5–10 years of experience in Technical Business Analysis, or Data & Analytics delivery role.
- Proven experience working as a bridge between business stakeholders and technical/offshore delivery teams.
- Strong stakeholder management skills, with the ability to engage confidently with senior business users and technical team.
- Strong experience in requirements gathering, documentation, solution design, user stories, and acceptance criteria definition.
- Practical experience with Power BI, including dashboard requirements, KPI definition, reporting logic, and validation of delivered output.
- Good understanding of data structures, reporting layers, and analytics delivery processes.
Must-have skills:
- Strong stakeholder management.
- Excellent communication.
- Power BI experience.
- Reporting and analytics background.
- Experience working with senior stakeholders.
- Experience coordinating offshore teams.
- London-based or able to commute 3 days per week.
Technical Data Business Analyst in London employer: MANNING SERVICES LIMITED
As a Senior Engagement Manager in our London office, you will thrive in a dynamic and inclusive work culture that prioritises employee growth and development. We offer flexible hybrid working arrangements, competitive benefits, and the opportunity to engage with Tier 1 insurance clients on transformative analytics projects, making your role both impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Business Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MANNING SERVICES LIMITED!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Technical Data Business Analyst at MANNING SERVICES LIMITED.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MANNING SERVICES LIMITED.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Data Business Analyst at MANNING SERVICES LIMITED, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Technical Data Business Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MANNING SERVICES LIMITED, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MANNING SERVICES LIMITED. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MANNING SERVICES LIMITED!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
