At a Glance
- Tasks: Build automated analytics solutions and create impactful data products using SQL, Python, and Power BI.
- Company: Leading financial services organisation with a strong data-driven culture.
- Benefits: Up to £50,000 salary, hybrid work, 25 days leave, and professional development support.
- Other info: Collaborative environment with clear progression opportunities and comprehensive benefits.
- Why this job: Shape a new Data Products function and work on high-impact projects.
- Qualifications: 2-3 years in data analysis, strong SQL and Python skills, and experience with Power BI or Tableau.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services organisation is building a new Data Products team focused on creating self-service analytics solutions across the business. This is a well-established financial services organisation with a strong data-driven culture. Following significant investment in data and analytics infrastructure, they are building a dedicated Data Products function to deliver scalable analytics solutions. The organisation values innovation, collaboration, and continuous improvement.
As a Data Analyst in the Data Products team, you will build automated analytics solutions that enable self-service across the organisation. You will own end-to-end delivery from requirements gathering through to deployment, working with SQL, Python, and Power BI to create data products that solve business problems at scale.
- Work with stakeholders to understand requirements and translate them into scalable data products.
- Extract, transform, and model data using SQL and Python.
- Develop Power BI dashboards and reports that provide actionable insights.
- Build self-service analytics solutions that enable stakeholders to access data independently.
- Collaborate with Data Engineering teams to ensure data quality.
- Drive best practices in data modeling, ETL processes, and dashboard design.
- Document solutions clearly and support stakeholders with training.
2-3 years experience in data analysis, business intelligence, or analytics engineering. Strong SQL skills including complex queries, joins, aggregations, and optimization. Python proficiency for data manipulation and automation. Power BI or Tableau experience including dashboard development. Data modeling experience including dimensional modeling and star schema. ETL and data transformation experience. Strong attention to detail and commitment to data quality.
Financial services, insurance, or regulated industry experience. Agile or fast-paced environment experience. Cloud platforms exposure (Azure or AWS). Data governance and quality frameworks experience.
Hybrid working with 2 days per week in Manchester office. Opportunity to shape a new Data Products function. Work on high-impact projects with visibility across the organisation. Clear progression opportunities as the team grows. Comprehensive benefits package including pension, life assurance, and healthcare. 25 days annual leave plus bank holidays. Professional development support.
You are a technically strong data professional who enjoys building solutions with real business impact. You are comfortable with SQL and Python, can translate complex data into clear visualizations, and have a product mindset focused on scalability and reusability.
Data Analyst SQL Python Tableau in Manchester employer: Harnham
Join a leading financial services organisation in Manchester that champions a data-driven culture and values innovation, collaboration, and continuous improvement. As a Data Analyst in the new Data Products team, you will have the opportunity to shape scalable analytics solutions while enjoying a hybrid work model, comprehensive benefits, and clear progression opportunities in a supportive environment focused on professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst SQL Python Tableau in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your SQL, Python, and Power BI projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for common data analyst interview questions and practice your problem-solving skills. Be ready to discuss how you’ve used SQL and Python to solve real business problems. Remember, it’s not just about what you know, but how you communicate it!
✨Apply Through Our Website
Don’t forget to check out our careers page and apply directly through our website. It shows you’re genuinely interested in joining us and gives you a better chance of landing that dream role in our new Data Products team!
We think you need these skills to ace Data Analyst SQL Python Tableau in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL, Python, and Power BI skills prominently, as these are key for the Data Analyst role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how your experience aligns with our goals. Mention specific projects where you've built automated analytics solutions or dashboards.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you’ve used data to drive business decisions and improve processes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our new Data Products team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss complex queries, data manipulation techniques, and how you've used these tools in past projects. Practising coding challenges can also help you feel more confident.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real business problems using data analysis. Think about specific projects where you built automated analytics solutions or developed dashboards that provided actionable insights. This will demonstrate your ability to deliver value.
✨Understand the Business Context
Research the financial services organisation and its data-driven culture. Familiarise yourself with their products and how data analytics plays a role in their success. This knowledge will help you tailor your answers and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team's goals, the types of projects you'll be working on, and how they measure success. This shows your enthusiasm for the position and helps you gauge if it's the right fit for you.
