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The Back Room Offshoring Inc.

Data Analyst (For Pooling)

Posted a day ago
2-5 years experience
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AI Summary

The Data Analyst will develop and maintain Power BI dashboards while transforming data from multiple sources to provide actionable business insights. They will collaborate with stakeholders to optimize data models and ensure reporting accuracy across operational and strategic initiatives.

About The Back Room

We exist to free our clients' time so they can focus on what they do best — growing their business. We deliver smart, efficient solutions that liberate teams from the everyday admin, and we hold ourselves to the same standard. Time is the ultimate currency, and we treat it like it.


About the Client
Our client is a UK-based professional services and accountancy firm known for its modern, entrepreneurial approach to traditionally conservative accounting services. It is recognized as a top 20 UK accounting firm, offering audit, tax, advisory, deals, and wealth management services to ambitious mid-market businesses across the UK.


The Role
We are looking for a Data Analyst to develop and maintain Power BI dashboards, transform data from multiple sources, and deliver meaningful insights that support business decisions. This role involves working closely with stakeholders to understand reporting needs, optimise data models, and present complex information through clear and effective visualisations.


What You'll Do

  • Developing, maintaining and enhancing Power BI dashboards.

  • Working closely with business stakeholders to understand reporting requirements, business objectives and key performance indicators.

  • Analysing data to identify trends, opportunities, risks and actionable insights.

  • Translating complex datasets into clear, engaging and easy-to-understand visualisations and reporting.

  • Supporting data-driven decision making across operational, commercial and strategic initiatives.

  • Extracting, transforming and validating data from multiple sources.

  • Optimising data models, Power Query transformations and reporting performance.

  • Ensuring data accuracy, consistency and adherence to reporting standards.

  • Presenting findings and recommendations to both technical and non-technical audiences.

  • Supporting the development of a data-driven culture by promoting best practices in reporting.


Key Skills & Behavior

  • Experience working with integrating data from multiple systems.

  • Strong understanding of data visualisation principles and best practices.

  • Ability to analyse complex datasets and communicate findings in a clear and compelling way.

  • Excellent stakeholder management, communication and collaboration skills.

  • Ability to work independently, manage competing priorities and deliver high-quality outputs.

Qualifications & Experience

Essential

  • Minimum 2 years of experience in a Data Analyst, BI Analyst, Reporting Analyst or similar analytics-focused role.

  • Strong Power BI development experience, including data modelling, DAX, Power Query and report design.

  • Strong SQL skills and experience working with relational databases.

  • Understanding of ETL processes and data transformation techniques.

Desirable

  • Experience within a professional services, financial services or accountancy environment.

  • Experience building semantic models and supporting self-service reporting initiatives.

  • Knowledge of data governance, data quality and reporting standards.

  • Experience using Salesforce.


Why This Role

This is an excellent opportunity for a data-driven professional to strengthen their expertise in Power BI, SQL, and data analytics while contributing to important business decisions. You’ll have the opportunity to turn data into actionable insights, collaborate with different teams, and help improve reporting processes and data-driven strategies across the business.

This role is open to Philippine citizens currently based in the Philippines.


Know someone great for this role? Refer them here and earn up to PHP 8,000 via GCash for every successful hire.

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