Data Analyst - Contract

Overview

Our client is seeking a detail-oriented Data Analyst to support a range of ongoing energy and data-focused initiatives. This role is heavily centred on Excel-based data analysis, with a primary focus on improving data quality, consistency, and accuracy. You will work with large volumes of customer and operational data, playing a key role in ensuring reliable datasets to support critical downstream processes across the business.
Key Responsibilities

• Extract, analyse, and manipulate data within Excel spreadsheets
• Perform extensive data cleaning and validation, addressing poor or inconsistent data quality
• Identify and resolve errors, anomalies, and data gaps
• Cross-reference and reconcile data across multiple sources
• Support migration from legacy systems to new platforms
• Produce clean, accurate datasets for reporting and operational use
• Work with customer data and meter-related information
• Support data accuracy for energy supply and smart meter processes
• Ensure data integrity to prevent downstream issues (e.g. incorrect records, billing/top-up errors)

Key Projects / Context

• Migration of data from a legacy system into a new platform
• Supporting implementation and integration of new systems (including clearing functions)
• Addressing inconsistent and unreliable datasets requiring significant cleansing
• Supporting high-volume data handling within an energy/utilities environment

Key Skills & ExperienceEssential

• Advanced Excel skills (core requirement), including:
  • Data manipulation and cleansing
  • Formulas, lookups, and reconciliation techniques
• Proven experience working with large datasets
• Strong attention to detail and accuracy
• Demonstrated experience in data validation and quality assurance
• Ability to identify, troubleshoot, and resolve data issues

Desirable

• Experience supporting system migrations or working with legacy data
• Background in energy, utilities, or customer data environments
• Understanding of data reconciliation and cross-referencing processes

Key Attributes

• Highly detail-oriented with a methodical approach
• Strong problem-solving capability
• Comfortable working with imperfect or unstructured data
• Proactive in identifying issues and driving data improvements
• Able to work independently while contributing to an in-house team

Additional Information

• This role focusses on data accuracy and preparation, rather than visualisation or reporting.
• Data issues currently impact key business processes, making this role critical to operational success.
• Emphasis is on "getting the data right" before any downstream use.

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