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Über
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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Sprachkenntnisse
- English
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