SKILLS/EXPERIENCE/QUALIFICATION REQUIRED:

• Proficiency in Excel and at least one visualization tool (Power BI, Tableau, Looker, etc.).
• Solid understanding of SQL for querying databases.
• Knowledge of statistics and ability to interpret data trends.
• Strong communication and presentation skills.
• High attention to detail and strong organizational skills.
• Experience with Python or R for data manipulation or automation.
• Familiarity with data warehousing (e.g., Snowflake, BigQuery, Redshift).
• Exposure to ETL processes or tools.
• Understanding of business operations or specific industry knowledge (finance, healthcare, retail, etc.).
• Familiarity with tools like Google Analytics, Adobe Analytics, or CRM platforms.
  Job Types: Full-time, Permanent
  Pay: £32,000.00-£35,000.00 per year
  Work Location: In person
  Reference ID: VT/Jun2025/0

• Collect and analyse structured and unstructured data from multiple sources.
• Clean, validate, and transform raw data into usable formats.
• Create dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
• Collaborate with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs.
• Identify trends, patterns, and actionable insights from datasets.
• Assist in defining and tracking KPIs and business metrics.
• Write SQL queries to extract data from relational databases.
• Document processes, queries, and findings in a clear and reproducible format.
• Support data quality and integrity by maintaining best practices for data governance.
• Automate repetitive tasks and build tools for efficiency (e.g., using Python/R).