Insights Analyst (Digital Product)

Insights Analyst (Digital Product)

Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
Gymshark

At a Glance

  • Tasks: Analyse data to provide actionable insights that drive business performance and strategy.
  • Company: Join a dynamic team at a leading apparel brand focused on innovation.
  • Benefits: Enjoy a competitive salary, performance bonuses, and a range of health and wellness perks.
  • Other info: Flexible work options and excellent career growth opportunities await you!
  • Why this job: Make a real impact by shaping strategies with data-driven insights in a collaborative environment.
  • Qualifications: Strong analytical skills, experience in eCommerce, and proficiency in SQL and dashboarding tools.

The predicted salary is between 35000 - 45000 £ per year.

We’re looking for a Digital Product Insights Analyst to join our Insights Hub & Spoke model. This role plays a critical part in supporting the business with data‑driven insights that enable teams to shape strategy and optimise performance. You’ll work closely with stakeholders across brand, marketing, eCommerce, digital, strategy and operations, providing the right insights at the right time to drive impactful decision‑making.

What you’ll be doing:

  • Gather, analyse and deliver actionable insights to optimise business performance within various spokes as part of the Insights Hub & spoke team.
  • Integrate insights from multiple data sources for a comprehensive business perspective on strategic challenges and processes.
  • Enhance forecasting models for key KPIs to support business performance.
  • Deliver ad hoc analysis as required to support business partners, projects and workstreams.
  • Collaborate with analytics leads & wider team to embed insights into business strategies and key processes such as the commercial process, trade, budgeting and forecasting.
  • Create clear, accurate and actionable dashboards, to meet the needs of your business partners, and develop the BI visualisations which democratise access to insights.
  • Collaborate with the Data Engineering and BI Engineering to facilitate cross-team visibility and prioritisation of analytics requirements.
  • Identify, raise and manage risks to delivery with analytics managers.
  • Prioritise workload, to meet the needs of your business partners, ensuring availability of insights at the right time, to the right level of quality.
  • Follow the standardised analytics approaches and processes as relevant.

What you’ll need:

  • Ability to understand business goals and translate them into data-driven strategies.
  • Ability to prioritise and focus analytical efforts on high-value areas to maximise business impact.
  • Strong analytical skills with the ability to extract actionable insights from complex data.
  • Experience in apparel-based businesses across eCommerce and physical retail.
  • Ability to translate business questions into data-driven insights.
  • Proficiency in Looker (or similar dashboarding tools) and GA4.
  • Advanced SQL skills, including window functions, CTEs, joins, and cloud data warehouses.
  • Strong prioritisation and project management skills to focus on high-impact areas.
  • Clear and concise communicator, making complex data easy to understand and actionable.

Closing Date: Thursday 4th June

We’re an equal opportunities employer, and for us that means we always strive to be as inclusive as possible in all aspects of employment, right from your application. We’re committed to finding reasonable adjustments for candidates with specific needs or have a disability during our recruitment process, and all applicants will be considered fairly and equally. We do not tolerate discrimination of any kind.

The Perks:

  • Performance-based Bonus opportunity
  • Funded Healthcare benefit
  • 25 days holiday, additional day for your birthday & Bank Holidays
  • Contributory Employer pension scheme
  • Flexible benefits programme – including salary sacrifice EV scheme, dental insurance, cycle to work, tech scheme, holiday trading
  • Gymshark Employee Discount & long service awards
  • Access to High Street cashback and discounts
  • Financial, Physical and Mental Wellbeing Support
  • Enhanced Family Leave package
  • Life Assurance
  • Gym Membership to The Lifting Club (LC)
  • Onsite lunch provision & coffee bars
  • Funded multi-site fitness membership

Note: The bonus program and benefits have certain eligibility requirements. Gymshark reserves the right to amend these programs in whole or in part at any time without advance notice.

Insights Analyst (Digital Product) employer: Gymshark

At Gymshark, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As an Insights Analyst in our dynamic Insights Hub & Spoke team, you'll enjoy a range of benefits including performance-based bonuses, funded healthcare, and a generous holiday allowance, all while contributing to impactful decision-making across various business areas. With a strong commitment to employee growth and well-being, we provide ample opportunities for professional development and a supportive environment that values inclusivity and diversity.

Gymshark

Contact Details:

Gymshark Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insights Analyst (Digital Product)

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at Gymshark. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for interviews by practising common questions related to data analysis and insights. Think about how you can showcase your experience with SQL and dashboarding tools like Looker. We want to see how you can turn complex data into actionable insights!

Tip Number 3

Show off your analytical skills! Bring examples of past projects where you’ve delivered impactful insights. Be ready to discuss how you prioritised your workload and collaborated with teams to drive business performance.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Gymshark.

We think you need these skills to ace Insights Analyst (Digital Product)

Data Analysis
Analytical Skills
Looker
GA4
SQL
Project Management
Communication Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Insights Analyst role. Highlight your analytical skills and experience in eCommerce, as well as any relevant tools like Looker or SQL that you’ve used. We want to see how you can bring value to our team!

Showcase Your Insights:When writing your application, don’t just list your skills—show us how you've used them to drive impactful decision-making in previous roles. Share specific examples of how your insights have optimised performance or influenced strategy.

Keep It Clear and Concise:We appreciate clarity! Make sure your application is easy to read and gets straight to the point. Use bullet points where possible to break down your achievements and skills, making it easier for us to see your potential.

Apply Through Our Website:Don’t forget to submit your application through our website! This ensures we receive all the necessary information and helps us keep track of your application. Plus, it’s the best way to show your enthusiasm for joining StudySmarter!

How to prepare for a job interview at Gymshark

Know Your Data Inside Out

As an Insights Analyst, you'll be expected to handle complex data. Make sure you brush up on your SQL skills and get comfortable with Looker or similar tools. Prepare examples of how you've used data to drive decisions in the past, as this will show your analytical prowess.

Understand the Business Goals

Before the interview, take some time to research the company’s objectives and how they align with the role. Be ready to discuss how you can translate business goals into actionable insights. This shows that you’re not just a data whiz but also understand the bigger picture.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to follow your logic.

Showcase Your Communication Skills

Being able to communicate complex data in a simple way is key. Prepare to explain your past projects and insights in layman's terms. Think about how you can make your findings accessible to stakeholders from various departments, as this will demonstrate your ability to collaborate effectively.