PowerBI and Data Analyst (FP&A and Business Systems)

Accountabilities: • Power BI & Business Intelligence: Design, build, and maintain engaging Power BI dashboards and reports supporting Finance and FP&A, covering revenue, profitability, budgets, forecasts, costs, client performance, variance analysis, and management reporting.

• Data Transformation: Transform data from Microsoft Dataverse, Dynamics 365, Cosmos DB, and other enterprise systems into accurate, reporting-ready datasets using Power Query, SQL, and the broader Microsoft data ecosystem.

• Data Modelling: Develop robust semantic models, dimensional data structures, star schemas, relationships, and DAX calculations that provide reliable foundations for business reporting and decision-making.

• Financial Reporting: Translate business and Finance requirements into meaningful reports, KPIs, analytical insights, and scalable reporting solutions that support planning and performance management.

• Data Quality & Governance: Ensure reporting outputs reconcile accurately to source systems, investigate data quality issues, apply consistent KPI definitions, and maintain appropriate governance and security standards.

• Performance Optimization: Continuously optimize Power BI models and reports for performance, usability, scalability, and reliability while identifying opportunities to automate and streamline reporting processes.

• Documentation: Maintain clear documentation covering datasets, business rules, calculations, reporting logic, and other key elements required for sustainable BI solutions.

• Stakeholder Partnership: Collaborate with Finance, FP&A, Data, Technology, and commercial teams, building strong relationships and becoming a trusted advisor for reporting and analytics.

• Communication & Insights: Present data-driven insights and recommendations clearly to both technical and non-technical stakeholders, simplifying complex information into actionable conclusions.

Requirements

• Power BI Expertise: Strong commercial experience developing Power BI reports and dashboards, with advanced capabilities in Power Query, DAX, and Power BI data modelling.

• SQL & Data Transformation: Strong SQL skills and the ability to independently investigate, validate, cleanse, transform, and combine datasets in a business environment.

• Enterprise Data Experience: Experience working with Microsoft Dataverse, Dynamics 365 data, or similarly complex ERP, CRM, or operational datasets.

• Data Modelling: Strong understanding of dimensional modelling principles, including star schemas, facts, dimensions, relationship design, and scalable semantic models.

• Reporting Solutions: Proven ability to gather business requirements and translate them into effective, scalable reporting and analytics solutions.

• Finance & FP&A: Confidence working with financial data and Finance stakeholders, with a strong understanding of budgets, forecasts, actuals, profitability analysis, variance reporting, and management reporting.

• Data Preparation: Experience building reporting solutions that involve substantial data preparation, transformation, reconciliation, and validation.

• Microsoft Data Ecosystem: Experience with Azure Cosmos DB, Microsoft Fabric, Azure SQL, or SQL Server is a plus.

• BI Platforms & Deployment: Exposure to Power BI Service administration, deployment pipelines, Dataflows, source control, structured BI deployment practices, CI/CD, or modern Microsoft data platforms such as Fabric Lakehouse and Warehousing is advantageous.

• FP&A Systems: Experience with budgeting, planning, or FP&A systems is beneficial.

• Analytical Mindset: Curious and analytical, with an interest in understanding the story behind the data rather than simply producing dashboards.

• Communication & Collaboration: Strong communication and relationship-building skills, with the ability to simplify complex concepts and work effectively with technical and non-technical stakeholders.

• Continuous Improvement: A proactive mindset toward identifying smarter, faster, and more scalable ways of working, with the enthusiasm to build new solutions rather than simply maintain existing ones.

Benefits

• Fully Remote: Work remotely while collaborating with teams and stakeholders across an international organization.

• Global Exposure: Opportunity to work with global colleagues and gain broad exposure across Finance, Data, Technology, and commercial functions.

• Learning & Development: Access to weekly development webinars through the People Academy to support ongoing professional growth.

• Wellness Programs: Annual wellness initiatives and programs designed to support employee wellbeing throughout the year.

• Culture & Community: Access to social and cultural activities, including seasonal events, team experiences, lunches, and other community initiatives.

• Volunteering: Opportunities to participate in volunteering activities, including off-site initiatives and volunteering leave.

• Leadership Development: Programs designed to support and empower women into leadership roles.

• Employee Ownership: Participation in an employee shareholder scheme, allowing team members to share in the success of the organization.

• Recognition: Internal awards and recognition initiatives celebrating employee contributions and achievements.

• Additional Benefits: Salary, healthcare, leave, and other employee benefits may be provided according to the partner company’s applicable policies

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1