Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, Accounting, or a related field.
4-6+ years of experience in data engineering, data analytics, finance transformation, or technology consulting.
Strong technical proficiency in Python and SQL, with coding capabilities.
Hands-on experience with cloud data platforms like Microsoft Fabric, Azure Synapse, or Snowflake.
Familiarity with automation platforms and ERP systems such as NetSuite or SAP.
Responsibilities
Design and implement data architectures, including data warehouses and ETL/ELT pipelines.
Develop automated data pipelines for financial and operational information consolidation.
Implement system integrations using iPaaS solutions like Boomi or MuleSoft.
Identify opportunities to automate finance processes across various functions.
Build financial dashboards and reporting tools using Power BI or Tableau.
Benefits
Collaborative work environment with a focus on team-oriented values.
Opportunities for professional growth and development in a dynamic field.
Engagement with diverse clients across multiple industries.
Flexibility to adapt to changing client needs and deadlines.
Full Job Description
Impact You'll Make
Partner with CFOs, controllers, and finance teams to identify opportunities to improve financial reporting, automate processes, and strengthen data infrastructure.
Design and implement practical data and technology solutions that address complex finance and accounting challenges.
Develop data pipelines, warehouses, integrations, and reporting solutions that improve financial visibility, accuracy, and operational efficiency.
Apply automation, analytics, and emerging AI technologies to improve how finance teams manage data, execute processes, and make decisions.
Work directly with finance leaders and IT teams to assess existing systems, recommend technology solutions, and support implementation.
What You'll Do
Design, build, and implement data architectures, including data warehouses, data lakes, and ETL/ELT pipelines, to support financial reporting, planning, and analytics.
Develop automated data pipelines to consolidate financial and operational information across multiple systems and entities.
Implement system integrations using Integration Platform as a Service (iPaaS) solutions, such as Boomi, Workato, MuleSoft, Azure Logic Apps, or comparable technologies.
Identify and execute opportunities to automate finance processes, including order-to-cash, procure-to-pay, record-to-report, and financial planning and analysis.
Build and implement financial dashboards, reporting tools, and data visualizations using Power BI, Tableau, or similar platforms.
Work with CFOs, controllers, and finance leaders to understand business requirements and translate them into technical solutions.
Evaluate existing technology environments, identify gaps, and recommend improvements to data architecture, systems integration, and reporting capabilities.
Support and participate in AI and automation workshops with client leadership to identify practical applications for finance and accounting functions.
Develop and implement automation and AI-enabled solutions to improve financial processes, reporting, forecasting, and data analysis.
Collaborate with client IT teams on system architecture, integrations, data security, access, and technology implementation.
Support financial systems integration and data consolidation efforts related to acquisitions and organizational changes.
Manage technical components of client engagements, including requirements gathering, solution design, development, testing, and implementation.
Work across multiple client engagements and industries, including middle-market and private equity-backed businesses.
Contribute to practice development initiatives, internal tools, and the evaluation of emerging technologies.
What You Bring
Strong technical proficiency in Python and SQL, with the ability to independently write, troubleshoot, and maintain code.
Hands-on experience developing data pipelines, data warehouses, and ETL/ELT processes.
Experience with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, Databricks, Google BigQuery, or similar technologies.
Experience designing and implementing Power BI dashboards, data models, and financial reporting solutions.
Familiarity with automation platforms such as Power Automate, Alteryx, or robotic process automation (RPA) tools.
Knowledge of API integrations, data connectivity, and Integration Platform as a Service (iPaaS) technologies.
Familiarity with ERP and financial systems such as NetSuite, Sage Intacct, Microsoft Dynamics, SAP, QuickBooks, or similar applications.
Understanding of financial statements, financial reporting, and core accounting and finance processes.
Ability to translate business and financial requirements into practical technical solutions.
Experience working with complex datasets across multiple systems, entities, and data sources.
Familiarity with AI, machine learning, large language models (LLMs), and their applications within finance and accounting is preferred.
Strong analytical and problem-solving skills with a hands-on approach to technology implementation.
Ability to communicate technical concepts clearly to CFOs, controllers, and other nontechnical stakeholders.
Experience gathering requirements, participating in client workshops, and presenting recommendations to business leaders.
Ability to collaborate with finance, accounting, and IT professionals throughout the project lifecycle.
Comfortable working in fast-paced client environments with evolving requirements and varying levels of technology maturity.
Strong organizational skills and the ability to manage multiple priorities and engagements.
Entrepreneurial mindset with an interest in contributing to the continued growth of Stout's CFO Advisory practice.
Education and/or Training
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, Accounting, or a related field.
4-6+ years of experience in data engineering, data analytics, finance transformation, technology consulting, or a related discipline.
Experience in professional services, consulting, financial systems implementation, or finance-focused technology roles preferred.
Experience supporting middle-market or private equity-backed companies is a plus.
Experience with financial reporting automation, systems integration, or data architecture implementation preferred.
Relevant certifications in Microsoft Azure, Power BI, Snowflake, Databricks, or comparable technologies are a plus.
Knowledge of additional programming languages such as R or VBA is beneficial.
Position level will be determined based on experience and qualifications.
How You'll Thrive
Embrace changing client-imposed deadlines with flexibility and adaptability.
Exhibit strong organizational skills to manage competing priorities effectively.
Collaborate with engagement leaders and team members while embodying Stout's core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators.
Demonstrate a commitment to delivering Relentless Excellence® in client service and team collaboration.
