Finance Analytics Engineer

Qualifications:

• Bachelor's Degree in Accounting, Business Analytics, Computer Programming, Computer Science, Information Systems, Information Technology, or Statistics is required, or a combination of education, training and experience may be considered in lieu of a degree.
• Strong SQL skills required
• Strong understanding of data transformations and data quality concepts
• Experience working with analytical data warehouses
• Experience building analytics ready data models
• Development experience within a comprehensive analytics platform, Microsoft Fabric preferred
• Experience performing unit, integration, and user acceptance testing in partnership with business stakeholders
• Experience building dashboards and reporting using a modern analytics tool, Microsoft PowerBI preferred
• Experience working with Finance teams or financial data
• Oracle application experience a plus
• Experience in the use of AI to perform job functions
• Experience working in a fast-paced environment with demanding stakeholders
• Self-driven and comfortable with taking a lead role on initiatives

Want to learn more about WWT? Check us out here:  https://www.wwt.com/about 

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $76,400-$95,500 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Health, Dental, and 

• Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! 

If you have any questions or concerns about this posting, please email [email protected].

Equal Opportunity Employer

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Why WWT? 

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.  

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. 

Want to work with highly motivated individuals on high-performance teams? Join WWT today! 

A Brief Overview:

The Finance Analytics Engineer in the Finance department will support the delivery of data requests, ensuring alignment with enterprise goals of a streamlined data platform capable of supporting an AI-led organization. The Analytics Engineer will serve as a bridge between raw data, financial processes, and business decision making. In partnership with our IT Data Engineering team, this role is primarily responsible for developing analytics ready data models using SQL that serve as the foundation for Finance reporting, analytics, and AI enabled use cases.

The ideal candidate combines strong analytics engineering fundamentals with the ability to translate finance and business questions into data solutions, including dashboards, data agents and ad-hoc analysis. This role sits within Finance, not IT, and is expected to operate as a hands on data partner to FP&A, Accounting, and other Finance users.

Responsibilities:

• Partners with Finance stakeholders to understand business processes, analytical needs, and reporting requirements, translating them into scalable data solutions.
• Collaborates with IT Data Engineering to align source systems, integrations, and transformations with Finance analytical requirements.
• Leads business users in requirements gathering
• Coordinates end-to-end delivery of solutions to stakeholders – plan, prioritize, design, build and test
• Designs, documents, builds and maintains data pipelines and fact and dimension style data models aligned to Finance use cases
• Follows best practices and display rigor and discipline regarding solution testing
• Builds reports, data agents, and dashboards on curated data models, emphasizing sustainability, consistency, and self service
• Follows data quality and visual standards to ensure data fits operational and analytic needs
• Provides ongoing production support, with the ability to effectively articulate issues to both technical and non-technical users.
• Serves as a subject matter expert for data and processes within the Finance department and provide thought leadership in the cross-functional analytics space
• Presents solutions to many levels of leadership
• Explores and apply AI enabled capabilities within the analytics platform
• Embraces the opportunity to use new technology to deliver data requests