Data Analyst at Consenna Ltd
Inchinnan PA4, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

07 Oct, 25

Salary

40000.0

Posted On

07 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Tableau, Sql, Reporting, Data Analysis, Power Bi, Excel, Data Analytics, Scripting Languages, Computer Science, Data Transformation

Industry

Information Technology/IT

Description

Job description

REQUIRED SKILLS & EXPERIENCE

  • Proficiency in Excel, SQL, and data visualisation tools (e.g., Power BI, Tableau)
  • Strong analytical mindset with attention to detail
  • Ability to communicate complex data insights to non-technical stakeholders
  • Experience with data transformation and reporting workflows
  • Familiarity with scripting languages (e.g., Python/PHP) is a plus
  • Experience with AI tools and techniques, or a strong willingness to learn and apply AI in data analysis
  • Bachelor’s degree in Data Analytics, Computer Science, or a related field (preferred but not essential)

How To Apply:

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Responsibilities

ROLE OVERVIEW

As a Data Analyst at Consenna, you will play a pivotal role in transforming raw data into actionable insights that drive strategic decisions across our programmes and client engagements. You will work closely with cross-functional teams including marketing, operations, and development to ensure data integrity, performance reporting, and continuous improvement in our analytics capabilities.

KEY RESPONSIBILITIES

  • Data Extraction & Management:
  • Coordinate the extraction of usage and performance data from internal platforms and client systems, ensuring accuracy and consistency.
  • Data Transformation & Analysis:
  • Clean, structure, and analyse data using tools such as Excel, SQL, and Power BI to uncover trends, anomalies, and opportunities.
  • Performance Reporting:
  • Develop and maintain dashboards and reports that track KPIs, campaign effectiveness, and operational metrics. Present findings to internal stakeholders and clients.
  • Collaboration & Communication:
  • Work with internal teams to understand data needs and deliver insights in a clear, actionable format. Support regular KPI reviews and strategic planning.
  • Process Optimisation:
  • Continuously improve data workflows, automate reporting processes, and contribute to the development of best practices in data governance.
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