Data Insight Analyst - Contract

Pixelcode Technologies Limited
17 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 117K

Job location

Remote

Tech stack

Microsoft Excel
Agile Methodologies
Data analysis
Python
Systems Development Life Cycle
SQL Databases
Tableau
Data Lake
Data Management
Alteryx

Requirements

Do you have experience in Waterfall?, We are seeking an experienced and innovative Data Insight Analyst on a contract basis (INSIDE IR35) to support the development, maintenance, and enhancement of data and analytics products across our client's organisation. This role involves working with diverse datasets, delivering analytical outputs, and supporting a self-serve analytics culture. You will contribute to the full lifecycle of analytics initiatives-from requirements and data preparation through to modelling, dashboarding, and release. The ideal candidate brings strong analytical and technical skills across SQL, Python, and modern visualisation tooling, combined with the ability to engage with stakeholders across technical and non-technical domains. This role requires a detail-oriented, collaborative analyst who is passionate about data and committed to delivering high-quality insights that drive meaningful business outcomes.

Skills:-

  • Strong SQL programming skills and experience with Python for analytics
  • Advanced Excel capability
  • Experience across data preparation tools (Tableau Prep, Alteryx, Python)
  • Proven ability to develop dashboards and analytical products using modern visualisation tools
  • Experience working with diverse and complex datasets
  • Understanding of SDLC practices in analytics delivery
  • Experience mentoring or coaching others in data and analytics
  • Experience with cloud data platforms, data lakes, or cloud analytics tooling
  • Knowledge of statistical, ML, or optimisation techniques
  • Familiarity with Agile/Waterfall methodologies
  • Experience in regulated or large enterprise environments
  • Knowledge of Data Lifecycle Management (DLM) and testing techniques

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