Partner with IT and Finance teams on system implementations and enhancements, while ensuring complete end-to-end solutions addressing transactional, process, and reporting requirements.
Translate Finance business needs into clear product requirements and success metrics.
Ensure data integrity and accuracy within financial systems.
Lead development of reports and dashboards for real-time analysis of financial performance across key Finance domains (e.g., revenue, margin, cost, working capital, forecasting).
Work closely with the Data Science team to guide model development across key forecasting areas.
Create and maintain detailed documentation of workflows, processes, and data flows.
Collaborate with data analysts and other teams to support ad-hoc reporting and analysis.
Serve as a trusted analytics and technology partner to Finance leadership.
Stay current on industry trends and best practices in data warehousing, business intelligence, AI, and Finance IT solutions.
Requirements
Bachelor’s degree in computer science, Information Technology, Finance or a related field.
Minimum of 10 years of experience in data analysis, preferably in a finance setting.
Proficient in data analysis tools such as SQL, or similar.
Strong knowledge of SAP tables and data flow.
Knowledge of Snowflake architecture, features, and functionalities.
Experience with data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards.
Strong Excel skills for financial modeling and data manipulation.
Tech Stack
SQL
Tableau
Benefits
employer-subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)