Data Analyst

JN -072024-44753_1720678622
  • £30000 - £40000 per annum + Excellent benefits
  • Cumbria

Data Analyst - £30K-£40K - Cumbria - Hybrid

My client is looking for a Data Analyst to work with the large and complex datasets associated with their financial comparison products. The role has a broad remit encompassing analysis, interpretation, and prediction. The Data Analyst will also bring statistical rigor to their product teams' efforts as they continuously enhance comparison products.

Role

  • Dive into complex datasets and extract actionable insights, e.g.
  • Identify customer segments across our comparison services where no or very few quotes are provided.
  • Analyse the conversion funnel data to improve the click to sale conversion to make recommendations on segments that are being poorly served, and
  • Utilize multiway statistical techniques to identify trends and correlations.
  • Facilitate discussions with the wider business to gain insight into pain points, problems and opportunities where analysis could help us with these either for business or for our partners/customers.
  • Support AB/MVT test plans and assessing results independently.
  • Assist with new provider due diligence and performance issue investigations.
  • Use of analytics tools/applications to undertake multi factor analysis to generate robust, accurate analysis to inform decision making.
  • Pro-actively work with stakeholders and colleagues to find ways for continuous evolution and improvement of the use of data/insight, to ensure solutions are best in class, and that value is continually generated from the data asset.
  • Create clear and concise reports and visualizations.
  • Collaborate with cross-functional teams to drive data-driven decision-making.

Skills

  • Proven experience as a Data Analyst, handling large datasets and performing statistical analysis.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Qlik).
  • Strong SQL skills for data extraction and manipulation.
  • Familiarity with Python, R or similar for data analysis.
  • Experience in filtering and cleaning complex datasets to provide actionable insights.
  • Experience working within the Financial Technology industry will be helpful.

Benefits

  • 27 days holiday plus public holidays
  • Performance rated bonus
  • Enhanced pension
  • Generous private medical care
  • Sickness and insurance benefits
  • Share schemes.

If this sounds like your next role, apply today!

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Ben Jarvis Recruitment Consultant

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