Senior Insights Analyst - SQL

Senior Insights Analyst - SQL

Full-Time 90000 - 90000 £ / year (est.) No working from home possible
Harnham

At a Glance

  • Tasks: Transform complex data into clear insights that drive business decisions.
  • Company: Fast-growing, digital-first organisation prioritising data-driven strategies.
  • Benefits: Competitive salary up to £90,000 and opportunities for career progression.
  • Other info: Collaborative environment with clear paths for growth and influence.
  • Why this job: Make a real impact on customer strategy and product performance.
  • Qualifications: Strong SQL skills and analytical problem-solving abilities required.

The predicted salary is between 90000 - 90000 £ per year.

This is an opportunity to take a central role in shaping how data drives decision making within a fast-growing, digital-first business. As a Senior Data Analyst, you will turn complex questions into clear insights, influencing customer strategy, product performance, and commercial outcomes.

They are a scaling, product-led organisation operating in a highly data-driven environment. With strong collaboration across Product, Growth, and Commercial teams, they place analytics at the heart of their decision-making. The business is continuing to expand and invest in its data capabilities, providing a strong platform for impact and progression.

  • Analyse customer behaviour, retention, churn, and lifecycle performance to drive business insight
  • Partner with Growth, Product, and Commercial teams to support strategic decision making
  • Identify trends, risks, and commercial opportunities through data analysis
  • Support experimentation and performance measurement initiatives
  • Contribute to improving analytics processes and data maturity across the organisation

Strong SQL and analytical problem-solving capability

Commercial mindset with a focus on customer outcomes

Ability to structure analysis independently and communicate clearly

Understanding of customer behaviour, retention, and lifecycle analysis

Clear opportunities to influence strategy and grow within a scaling business

Senior Insights Analyst - SQL employer: Harnham

As a Senior Insights Analyst at our fast-growing, digital-first company, you will thrive in a collaborative and innovative work culture that prioritises data-driven decision-making. With a strong focus on employee growth and development, we offer clear pathways for progression while investing in cutting-edge analytics capabilities. Join us in a remote role that not only allows you to make a significant impact on customer strategy and commercial outcomes but also provides the flexibility and support needed to excel in your career.

Harnham

Contact Details:

Harnham Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Insights Analyst - SQL

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in data analytics. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL projects and data insights. This will give potential employers a taste of what you can do and how you think.

Tip Number 3

Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us drive data-driven decisions. Your next big opportunity could be just a click away!

We think you need these skills to ace Senior Insights Analyst - SQL

SQL
Analytical Problem-Solving
Data Analysis
Customer Behaviour Analysis
Retention Analysis
Churn Analysis
Lifecycle Performance Analysis

Some tips for your application 🫡

Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you can turn complex data into clear insights, so don’t hold back on showcasing your analytical problem-solving capabilities!

Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that relate to customer behaviour analysis and how you've influenced strategy in previous roles. We love seeing how you can connect the dots!

Be Clear and Concise:When writing your application, clarity is key! We appreciate straightforward communication, so make sure your points are easy to understand. This will show us that you can structure analysis independently and communicate effectively.

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 to shape data-driven decision-making with us!

How to prepare for a job interview at Harnham

Know Your SQL Inside Out

Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and think of specific examples where your analytical problem-solving capabilities made a difference. This will show that you can turn complex data into actionable insights.

Understand the Business Context

Familiarise yourself with the company’s products and their market position. Understand how data drives their decision-making process. This knowledge will help you articulate how your insights can influence customer strategy and product performance, making you a more attractive candidate.

Prepare for Scenario-Based Questions

Expect questions that ask you to analyse hypothetical situations or past experiences. Think about how you would identify trends, risks, and opportunities through data analysis. Practising these scenarios will help you communicate your thought process clearly during the interview.

Showcase Your Collaboration Skills

Since the role involves partnering with various teams, be ready to discuss your experience working collaboratively. Share examples of how you've supported strategic decision-making in the past and how you can contribute to improving analytics processes within the organisation.