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Lead Data Insight Analyst

Artis Recruitment
Posted 3 days ago, valid for 6 hours
Location

Bristol, City of Bristol BS6 5EX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Lead Data Insight Analyst is sought by a leading consumer tech company based in Bristol, offering a hybrid work model with 1-2 days onsite each week.
  • The role is standalone and requires collaboration with the Founder, focusing on using data to guide product development and company strategy.
  • Candidates should have a degree in a relevant field, strong SQL skills, and experience with programming languages like Python or R, along with a proven track record in high-growth digital environments.
  • The position offers a competitive salary and discretionary bonus, emphasizing a data-driven culture and opportunities for experimentation and collaboration.
  • Ideal applicants should have at least several years of experience in data analysis and decision-making within fast-paced settings.

Lead Data Insight Analyst required by our market leading, multi-national, consumer tech business based out of Bristol on a hybrid basis. You would need to spend 1-2 days a week onsite but with flexibility.

This is a standalone role within the business and will work very closely with the Founder. They need a forward-thinking Lead Data Insight Analyst ensure data is a key driver in shaping the product development and company direction. You will ideally come from high-growth digital environments, demonstrate strong analytical capabilities, and have the confidence to challenge assumptions with data-driven insights.

Main Responsibilities:

  • Conduct in-depth data analysis across all business areas to inform and enhance product development strategies.
  • Collaborate closely with senior leadership, product, and engineering teams to identify trends, solve challenges, and seize new opportunities.
  • Develop strong relationships with key stakeholders and contribute to long-term strategic planning.
  • Use quantitative analysis, data mining, and visualisation techniques to understand user behaviour and provide actionable insights.
  • Promote a data-driven culture, encouraging best practices in analytics and decision-making.
  • Lead experimentation initiatives, including A/B testing, predictive modelling, and other analytical methodologies.

Ideal Background:

  • A Degree in a relevant field such as Econometrics, Computer Science, Data Science, Statistics, or similar.
  • Strong proficiency in SQL and hands-on experience with statistical programming languages such as Python, R, or MATLAB.
  • Expertise in data visualisation tools, particularly Tableau.
  • Proven track record of leading data-driven decision-making in high-growth digital businesses.
  • Experience in experimentation frameworks (A/B testing, multivariate analysis, predictive analytics, etc.).
  • A problem-solver who thrives in a dynamic, evolving environment and can manage ambiguity effectively.
  • Excellent communication skills, with the ability to influence and collaborate across teams.
  • Willingness to travel occasionally as part of a globally connected business.

What’s in it for you:

  • Competitive salary
  • Discretionary bonus
  • The opportunity to work in a highly ambitious, fast-paced environment.
  • A dynamic workplace where innovation and data-driven decision-making are at the heart of everything we do.
  • A collaborative culture that values initiative, creativity, and continuous learning.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.