Finance Data - Reporting, Automation Engineering Consultant

Deloitte is seeking a Consultant to support finance data, reporting, and engineering initiatives for clients.

In this role, you will turn financial and operational data into reliable reporting, dashboards, and insights that support business decisions. You will collaborate with finance, technology, and business stakeholders to improve data quality, automate reporting processes, and deliver analytics products.

Work arrangements, including co-location, may vary based on project and client needs.

Work you'll do

As a Consultant, for the General Business Finance Data Analytics & Insights team, you will be responsible for…

• Partner with finance and business stakeholders to define reporting requirements, data definitions, and acceptance criteria.
• Design and build data models, transformation logic, and automated data pipelines that support finance reporting.
• Develop and maintain dashboards and recurring reports that translate financial and operational data into decision-ready insights.
• Perform data-quality checks, reconcile report outputs to source data, and document business rules and data lineage.
• Support sprint planning, testing, release activities, and stakeholder demonstrations for analytics products.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

The General Business Finance Data Analytics & Insights team helps finance organizations turn financial and operational data into reliable reporting and actionable insights.

The team combines data engineering, analytics, visualization, and finance process knowledge to support decisions across planning, performance management, and business operations.

Professionals collaborate with stakeholders to improve data quality, reporting efficiency, and access to information.

Qualifications

Required:

• Bachelor’s degree
• 2+ years Experience developing data models, data transformations, or data pipelines for reporting or analytics use cases
• 2+ years Experience creating dashboards, recurring reports, or data visualizations using business intelligence tools
• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations
• Must be able to obtain and maintain the required clearance for this role
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

• Experience supporting finance, accounting, or performance management reporting.
• Experience using cloud-based data platforms, extract, transform, and load (ETL) tools, or reporting automation solutions.
• Experience working on Agile delivery teams.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,700 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.