Data Analyst

Company: Occupop
Apply for the Data Analyst
Location: London
Job Description:

Greater London, England, United Kingdom

Company: Bitrecruit Client / Employer: Occupop

Job reference: b5f0c852c50308fadfe2cec6a499b8da

Job Information

Location: Greater London, United Kingdom

Job reference: b5f0c852c50308fadfe2cec6a499b8da

Listing type: Basic

EU work permit required: No

Posted: 20.05.2026

Expires: 04.07.2026

Responsibilities

  • Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit.
  • Identify incomplete and diverse data sets, pinpoint data issues which may affect the accuracy and completeness of any analysis performed.
  • Recognise the importance and value of understanding the data, validating the information provided and reconciling the datasets as part of the Data Analytics Cycle.
  • Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary.
  • Collaborate closely with multi‑disciplined teams to deliver end‑to‑end client solutions in a timely manner.
  • Balance the technical and analytical demands of the role.
  • Be open‑minded and flexible with a thirst for knowledge and an appetite for continuous development.

Success Criteria

  • Clear, concise and insightful data analytics which enable clients to make sound business decisions based on fact.
  • Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client/industry need.
  • Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight.
  • Accountability and ownership for client and internal deliverables.
  • Contribute to a Data Analytics team by providing knowledge transfer support, peer‑to‑peer reviews, and mentoring to increase team skills and drive continuous learning.

Competencies & Behaviours

  • Proficiency in analytical programming languages such as Python and/or SQL.
  • Understanding of relational databases and concepts for querying data.
  • Proficiency in tools like Tableau and/or Power BI.
  • Ability to balance time across multiple projects, planning ahead and working backwards from deadlines with all necessary steps (testing, QA) while proactively identifying risk and suggesting mitigation.
  • Inquisitive, suggest “next steps” analysis and translate findings to actionable insight.
  • Commercial experience within Telecoms, Banking or Utilities industries, or within a data‑related consultancy company would be beneficial.
  • Able to travel throughout the United Kingdom.
  • Can be based at a London office (minimum 2 days per week on site).

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Posted: June 8th, 2026