At a Glance
- Tasks: Transform data into actionable insights and support decision-making across the business.
- Company: Dynamic tech organisation focused on innovation and growth.
- Benefits: Salary up to £60,000, hybrid work, and exposure to AI technologies.
- Other info: Collaborative environment with opportunities for professional development and career growth.
- Why this job: Make a real impact by improving how data drives business decisions.
- Qualifications: 3+ years in analytics, strong SQL skills, and stakeholder management experience.
The predicted salary is between 40500 - 49500 £ per year.
Title
Senior Insights Analyst
Location
West Yorkshire (Hybrid – minimum 1 day a week)
Salary
Industry
Technology
The Opportunity
I'm currently working with a growing technology organisation that is looking to hire an experienced Senior Insights Analyst to join its Insights team.
You'll play a key role in turning data into clear, actionable insight across customer engagement, product usage, commercial performance and operational activity.
Working closely with stakeholders across the business, you'll understand the question behind each request, challenge requirements where needed, define meaningful KPIs and develop trusted reporting that supports better decision-making.
The role is hands-on, with strong SQL at its core, alongside Power BI, data analysis and stakeholder engagement.
You'll also use performance projections to support planning and identify trends, risks and opportunities against key targets.
You'll have the opportunity to help improve how the business uses data, including supporting the adoption of AI and automation to reduce manual reporting and improve the efficiency of insight processes.
If you're an experienced Insights, BI or Data Analyst with strong SQL skills, commercial curiosity and the ability to turn complex data into clear recommendations, this could be an excellent opportunity.
Key Responsibilities
- Partner with stakeholders across the business to understand priorities, problems and decision-making needs.
- Gather, challenge and translate business requirements into clear analytical outputs.
- Develop and maintain standardised reports, dashboards and reporting frameworks.
- Define and document KPI methodologies, metric definitions and reporting logic.
- Write, validate and optimise SQL queries across large structured datasets.
- Analyse customer, operational, commercial and product data to identify trends, risks, opportunities and root causes.
- Turn analysis into clear recommendations that support data-driven decision-making.
- Build engaging dashboards, insight outputs, commentary and presentations for technical and non-technical audiences.
- Support self-service reporting through reusable datasets, standardised views and guidance.
- Work with Data Engineering teams to improve data quality and investigate discrepancies.
- Manage competing analytical requests, prioritising work based on business value.
- Identify opportunities to use AI, automation and modern analytics tools to improve reporting efficiency.
- Support a stronger insight culture by helping stakeholders focus on the decisions behind the data.
Essential Skills and Experience
- 3+ years' experience in Insights, Data, BI or a similar analytical role.
- Strong SQL skills, including querying, joining, validating and investigating data.
- Experience working with large, structured datasets and applying data quality checks.
- Strong stakeholder management skills, with the ability to gather and challenge requirements.
- Proven experience owning analytical projects end-to-end, from requirements through to delivery and stakeholder presentation.
- Strong analytical and problem-solving skills, with the ability to identify trends, root causes, risks and opportunities.
- Experience building dashboards, standardised reporting and KPI frameworks.
- Power BI or similar reporting and visualisation experience.
- Ability to turn data into clear insight, recommendations and compelling narratives.
- Excellent communication, organisation and attention to detail.
Desirable Skills
- Experience working with Snowflake or other modern data warehouse technologies.
- Strong Excel skills for analysis, modelling or data validation.
- Awareness of data governance, access controls and responsible data handling.
- Exposure to Python, AI-enabled analytics, automation or natural-language data querying.
- Experience working with customer, commercial, product or operational datasets.
Package and Benefits
- Salary up to £60,000 depending on experience.
- Hybrid working with a minimum of 1 day per week in the West Yorkshire office.
- Opportunity to work across customer, commercial, product and operational data.
- Exposure to AI and automation within analytics and reporting.
- Opportunity to have a direct impact on how data is used to drive business decisions.
Senior Insights Analyst in Leeds employer: Oscar
Join a dynamic and innovative software and Business Intelligence organisation in Hertford, where you'll thrive in a hybrid work environment that promotes flexibility and collaboration. As a Data Consultant, you'll enjoy a varied role with opportunities for professional growth, including managing projects from inception to deployment and engaging with a European customer base. The company fosters a supportive culture that values continuous learning and offers exposure to exciting industry events, making it an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Insights Analyst in Leeds
✨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 Oscar!
✨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 Senior Insights Analyst at Oscar.
✨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 Oscar.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Insights Analyst at Oscar, 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 Senior Insights Analyst in Leeds
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 Oscar, 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 Oscar. 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 Oscar
✨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 Oscar!
✨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.
