Financial Analyst supporting financial planning, budgeting, and reporting at Mara Renewables. Collaborates on data analysis and dashboards to drive business insights with a hybrid work model.
Responsibilities
Analyze monthly and quarterly financial performance, including profit and loss results, variances, and key business drivers
Build and maintain financial models to support budgeting, forecasting, scenario analysis, and business planning
Support development of business cases, investment analysis, and business valuation models, with guidance as needed
Assist in evaluating strategic initiatives such as capital investments, partnerships, and growth opportunities
Conduct market and industry research to support planning and decision-making
Support preparation of business plans and financial materials for internal and external stakeholders
Design, build, and maintain Power BI dashboards and reports to support financial and operational decision-making
Translate business and financial requirements into effective data models, visuals, and measures
Ensure data accuracy, consistency, and usability across reports and dashboards
Partner with stakeholders to understand reporting needs and continuously improve reporting quality and insights
Collaborate with cross-functional teams to support financial planning and analysis activities
Prepare reports, presentations, and ad hoc analysis for senior leadership
Contribute to ongoing improvements in financial models, tools, and reporting processes
Requirements
Bachelor’s degree in Business, Finance, Accounting, Economics, or a related field required
1–3 years of experience in financial analysis, FP&A, corporate finance, consulting, or a similar analytical role
Strong foundational knowledge of financial modelling and corporate finance concepts
Exposure to business valuation or investment analysis is an asset
Strong working knowledge of Power BI , including dashboard design, data modeling, and basic DAX
Demonstrated experience building Power BI dashboards from raw or semi-structured data (through coursework, internships, or professional experience)
Strong proficiency in Microsoft Excel, including financial modelling and analysis
Ability to work through ambiguous requests and independently determine an appropriate analytical approach
Strong analytical, problem-solving, and communication skills
Highly organized, detail-oriented, and eager to learn in a fast-paced environment
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