Data Analyst

Hypercreate Ltd
London, UK
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£29,000.0 - £35,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Governance Data Mining Python (Programming Language) Raw Data Power BI SQL Databases Tableau (Software) Data Processing Looker Analytics Programming Languages

Job description

  • Data Extraction & Cleaning: Gather and prepare complex data sets from multiple internal and external databases for analysis.
  • Reporting & Dashboards: Design, build, and maintain interactive dashboards and automated reports for key stakeholders across the business.
  • Insight Generation: Analyse operational and commercial data to identify trends, variances, and opportunities for performance improvement.
  • Stakeholder Collaboration: Work closely with department heads to understand their data requirements and deliver self-service analytics tools.
  • Data Governance: Ensure data accuracy, integrity, and compliance with data protection regulations (e.g., GDPR).

Requirements

We are partnering with a fantastic client who is currently looking for an inquisitive and detail-oriented Data Analyst to join their data and analytics team. Our client relies heavily on data-driven insights to guide their business strategy, and they need a capable analyst to help uncover trends, build reports, and translate raw data into actionable intelligence.

If you have a passion for numbers and a talent for telling stories with data, this role offers an excellent opportunity to make a tangible impact within a highly successful organisation., * Proven experience working in a Data Analyst or similar analytical role.

  • Advanced proficiency in data manipulation and querying languages, specifically SQL.
  • Strong hands-on experience with data visualisation tools such as Tableau, Power BI, or Looker.
  • Familiarity with programming languages like Python or R for statistical analysis is highly advantageous.
  • Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences clearly and concisely.

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