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Data Analyst

Gravity Media
Watford, GBR
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
SQLPower BIMicrosoft ExcelData modellingData cleaning and validationDatabase and data structures

Full Job Posting

Role overview

The Data Analyst sits within the global Media Services function in the Assets & Data team and reports to the Head of Assets & Data.

The role supports better use of Group data, with a focus on S&OP, asset management, and resource planning.

The role uses SQL, Power BI, and Excel to turn Group system data into reporting and business insight.

Responsibilities

  • Write and maintain SQL queries for analysis and reporting.
  • Build and maintain Power BI dashboards covering asset utilisation, demand, availability, and performance.
  • Analyse asset, resource, and demand planning data to identify trends, capacity issues, and efficiency opportunities.
  • Translate stakeholder questions into useful analysis and reporting.
  • Check and reconcile data, investigate issues, and work with data owners to resolve them.
  • Support data governance through consistent definitions, standards, and quality checks.
  • Maintain practical documentation for reports, dashboards, calculations, and recurring analysis.
  • Work with IT on system changes, data access, integrations, and business data requirements.
  • Improve operational data quality by identifying gaps, inconsistencies, and unclear ownership.
  • Provide regular and ad hoc analysis for planning, investment decisions, business cases, and improvement activity.
  • Improve reporting through automation and appropriate use of AI tools while checking outputs and protecting company data.

Requirements

  • Relevant degree, professional qualification, or equivalent practical experience plus at least two years in a data analyst, BI analyst, or similar role.
  • Strong SQL skills for querying, combining, and manipulating data.
  • Experience building and maintaining Power BI dashboards and reports, including data modelling and measures.
  • Advanced Excel skills, including pivot tables, lookups, formulas, and larger datasets.
  • Experience cleaning and checking data, including duplicates, missing information, and inconsistencies.
  • Understanding of databases and data structures.
  • Strong analytical, problem-solving, stakeholder communication, and organisational skills.
  • Commercial awareness and interest in asset utilisation, demand, capacity, and investment decisions.
  • Comfort using AI and productivity tools while following data security requirements.
  • Ability to manage priorities and collaborate across teams and countries.

Workplace and governance

  • The role supports teams across the Group and may require flexibility when work is time sensitive.
  • Employees are expected to follow company policies, information security requirements, processes, and controls.

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