Financial Analytics Engineer

Compensation: Up to $120,000 (DOE)
Location: Orlando, FL (Hybrid)

Applicants must reside in or be within commuting distance of the Greater Orlando area.

About the Opportunity

Our client is expanding its Business Intelligence team and is looking for a Financial Analytics Engineer who is passionate about transforming data into meaningful business insights. This role blends finance, analytics, data engineering, and business intelligence to support strategic decision-making across the organization.

You'll have the opportunity to build predictive models, enhance reporting capabilities, optimize data infrastructure, and collaborate with business leaders on initiatives that drive measurable business performance.

Why You'll Want This Role

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• Join a growing Business Intelligence team with organization-wide visibility
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• Develop predictive models and financial analytics that influence strategic decisions
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• Work with modern cloud-based data platforms and business intelligence technologies
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• High level of ownership, autonomy, and cross-functional collaboration
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• Partner directly with executive leadership and key business stakeholders
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• Competitive compensation, comprehensive benefits, and strong long-term career growth
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This role is ideal for an analytics professional who enjoys solving business problems through financial modeling, automation, and data-driven decision-making.

Key Responsibilities

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• Develop predictive analytics models supporting financial forecasting, budgeting, and performance management
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• Build analytical datasets, financial models, and reporting solutions that improve business decision-making
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• Query, transform, and analyze large datasets using SQL and cloud-based data warehouse technologies
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• Design, maintain, and enhance executive dashboards, KPIs, and recurring financial and operational reports
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• Support data engineering efforts, including ETL development, pipeline optimization, automation, and data validation
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• Collaborate with Finance, IT, and business teams to deliver scalable analytics and reporting solutions
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• Improve data quality, reporting consistency, and overall analytics processes
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• Present financial and operational insights to both technical and non-technical audiences
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• Participate in continuous improvement initiatives across the Business Intelligence function
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Qualifications

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• Bachelor's degree in Finance, Accounting, Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, or a related discipline
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• Three or more years of experience in Financial Analytics, Business Intelligence, Analytics Engineering, FP&A Analytics, Data Engineering, or a related field
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• Strong SQL skills with experience querying, transforming, and analyzing complex data
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• Experience working with cloud-based data warehouse platforms such as AWS Redshift or comparable technologies
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• Background in predictive analytics, financial forecasting, statistical analysis, business modeling, or financial modeling
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• Experience using Python, R, or similar programming languages for automation, analytics, or modeling
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• Understanding of data modeling concepts, ETL processes, and data governance best practices
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• Experience with Power BI, DAX, Microsoft Fabric, Salesforce, APIs, or similar business intelligence platforms is highly preferred
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• Strong communication skills with the ability to translate technical findings into actionable business recommendations
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• Must be authorized to work in the United States without current or future sponsorship
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Benefits

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• Hybrid work environment
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• Competitive salary up to $120,000 based on experience
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• Comprehensive medical, dental, and vision insurance
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• 401(k) with employer match
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• Paid time off and company holidays
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• Professional development and career advancement opportunities
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• High visibility with executive leadership
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• Opportunity to help shape and expand a growing Business Intelligence and Analytics team
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• Why Apply?
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If you're passionate about combining finance, analytics, and technology to solve complex business challenges, this role offers the opportunity to make a significant impact. You'll build predictive models, improve reporting capabilities, and help leadership make smarter, data-driven decisions while growing your career within an innovative and expanding organization.

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