Data Analyst – Power BI
We’re looking for a skilled Data Analyst – Power BI to join a thriving technology company in Staines. This role comes with outstanding benefits and flexible hybrid working options.
Responsibilities
As a Data Analyst – Power BI, your main responsibilities will include:
* Designing, developing, and maintaining interactive Power BI dashboards and reports to deliver key financial and operational insights.
* Connecting to various data sources (e.g., SQL databases, Excel, financial systems) and performing data extraction, transformation, and loading (ETL) processes within Power BI (using Power Query/M language).
* Collaborating with stakeholders to gather requirements, understand business needs, and translate them into effective Power BI solutions.
* Be able to communicate with the senior finance team regarding analysis on P&L and Balance Sheet
* Ensuring data accuracy and integrity within Power BI reports and underlying data models.
* Implementing best practices for data visualisation, user experience, and report performance.
* Supporting the preparation of monthly leadership dashboard reporting, covering financial and operational performance.
* Supporting the Finance Business Partner regarding Power BI reporting
* Contributing to the continuous improvement of data reporting processes and business intelligence initiatives.
Skills & Experience Required
We’re looking for candidates with:
* Proven experience as a Data Analyst – Power BI or in a similar Business Intelligence role, with a strong portfolio of developed dashboards.
* Expert-level proficiency in Power BI Desktop, including extensive experience with Power Query (M), Power Pivot, and advanced DAX.
* Strong SQL skills for data extraction and manipulation.
* Experience with data modelling and creating robust, scalable data architectures within Power BI.
* Familiarity with financial systems like Oracle and Hyperion is highly desirable.
* Excellent analytical and problem-solving skills, with a keen eye for detail.
* Strong communication skills to interact effectively with both technical and non-technical stakeholders.
* A proven ability to identify areas for improvement and drive efficiencies in reporting and data processes.
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