Data Analytics Engineer

Job LocationUK
Job TagData Analytics


As a Data Analytics Engineer in our team, you will ensure the data is accessible across the entirety of Gymshark to support all subsequent analytics and reporting.


  • Providing clean, accessible data sources across Gymshark, to enable functions to answer key business questions and better understand business performance and/or customer behaviour, which in turn leads to making strategic decisions based upon our data.
  • Managing data updates, imports, exports, segments, and audiences within analytical systems such as our insights database and marketing automation platform.
  • Identifying problems with data quality, access, and processing, working across multiple systems and with various teams to identify the root cause, implement appropriate solutions through to resolution.
  • Building, monitoring, and maintaining data process, documentation and reporting that improve our data assets (cleansing, quality, enrichment etc.)
  • Working with third party partners and software providers to improve and/or implement new data solutions and processes.
  • Being the gatekeeper for customer data, aware of our usage and alignment to data privacy standards, in collaboration with Data Governance to ensure best practice standards are applied/maintained.


  • Strong experience with data analysis tools and technologies (e.g., SQL, Python, Snowflake, Excel, Alteryx, AWS)
  • High class numerical, technical, and problem-solving skills
  • Track record in translating business data issues with an effective data solution.
  • Strong stakeholder management skills: working with both technical & non-technical stakeholders, acting as the translation/intermediary to simplify terminology as/when needed.
  • Need to be a methodical, analytical, and logical thinker, able to see the bigger picture, and get to underlying business questions and challenges.
  • Experience working with Customer Data Platforms (“CDP”) would be beneficial.
  • Confident at working with in-house Systems teams.
  • Able to separate BAU from core objectives, managing workloads effectively.
  • Demonstrate delivery under pressure and to deadline.
  • Awareness of Business Intelligence (“BI”) tools such as Tableau, Looker, Quicksight. 

How a Boot Camp Helped this Leader Enhance Her Data Expertise

Spending more time making data-led decisions alongside the analytics and business insights teams within her organization led Jenny Bersinic to continue her journey as a lifelong learner, and invest in continuing to enhance her data IQ.

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For Stepan Nelasov, going to a bootcamp gave him the opportunity to rebuild his career, rekindle his passion, and—perhaps most importantly—rediscover his resolve. 

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