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For Companies At a Glance
- Tasks: Drive analytics and insights using modern data tools like Power BI and Snowflake.
- Company: Join a forward-thinking organisation committed to diversity and data innovation.
- Benefits: Earn up to £75,000 with strong development opportunities in a collaborative environment.
- Why this job: Make a real impact by transforming data into actionable insights for the business.
- Qualifications: Strong analytical skills and experience with data modelling and stakeholder engagement.
- Other info: Exciting role with a focus on modern cloud data capabilities and career growth.
The predicted salary is between 54000 - 84000 £ per year.
Hybrid role – UK based
Full-time position with strong development opportunities
End-to-end analytics, data modelling, pipelines & Power BI
About the Client
We are an established organisation undergoing major data modernisation and analytics transformation. Over the last year we’ve built a new Snowflake-powered data platform and redesigned our entire reporting suite, and we are now looking for a skilled Senior Data / Insights Analyst to help drive high-quality insight, analytics and data product development across the business.
The Benefits
- Salary up to £75,000
- Strong operational and analytical exposure
- Collaborative and supportive environment
- Opportunities to develop with modern cloud data tools
- Broad scope across infrastructure, analytics, and data strategy
Senior Data / Insights Analyst Role
This is a holistic analytics role covering requirements gathering, data modelling, pipeline development, reporting and insight generation. You’ll work closely with business stakeholders, translating questions into data products and acting as an advocate for modern analytics tools and best practice. You’ll deliver meaningful insight through Power BI, support ELT development using dbt and Snowflake, and contribute to the scaling of the new data platform. The ideal person brings strong analytical capability, great communication skills, and the ability to tell a clear story from complex datasets.
Senior Data / Insights Analyst – Essential Skills
- Ability to deliver actionable insights and communicate clearly with stakeholders
- Experience with predictive analytics / machine learning desirable
- Strong business mindset with excellent stakeholder engagement capability
To Be Considered
Please either apply through this advert or email me directly at chelsea.hackett@searchability.com. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Key Skills
- Power BI
- SQL
- Python
- Snowflake
- dbt
- Data Pipelines
- ELT
- Data Modelling
- Dashboarding
- Predictive Analytics
- Machine Learning
- Cloud Data Platforms
- Stakeholder Engagement
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst
Industries: Maritime Transportation
Location: London, England, United Kingdom
Senior Data Analyst employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Prepare for those interviews! Brush up on your Power BI skills and be ready to discuss how you've used data to drive insights in the past. We want you to showcase your analytical prowess and storytelling ability with complex datasets.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe it shows your enthusiasm and professionalism, which are key traits for a Senior Data Analyst.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re all about making connections, so let’s get you in front of the hiring team for that dream job!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with Power BI, SQL, and any relevant data modelling or analytics projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our mission of empowering women in the workplace. Be sure to mention your experience with predictive analytics and stakeholder engagement.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've delivered actionable insights or improved processes using data. We love a good story that demonstrates your analytical prowess!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Searchability®
✨Know Your Data Tools
Make sure you’re well-versed in Power BI, SQL, and Snowflake. Brush up on how these tools can be used to create actionable insights and prepare examples of how you've used them in past projects.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to translate technical details into insights for stakeholders, so being able to tell a clear story from your data is crucial.
✨Showcase Your Analytical Skills
Be ready to discuss your experience with predictive analytics and machine learning. Prepare specific examples where you’ve applied these skills to solve real business problems or improve processes.
✨Engage with Stakeholders
Think about how you’ve successfully engaged with stakeholders in the past. Be prepared to share strategies you’ve used to gather requirements and ensure that your data products meet their needs.
