Financial Data Analyst

This position requires working onsite in Tampa, FL, multiple days per week. Fully remote work and relocation are not offered.

Sihl is a strong partner for future-orientated industries and creates innovative solutions with its premium coatings. With more than 400 employees in the Sihl Group, we contribute to the success of our customers from a wide range of industries in almost every country in the world. From automotive and tourism, from packaging and labels through to printing and logistics, customers trust our premium coatings and technological expertise.

As a specialist for future-proof products, Sihl lays the foundations for innovative trends and promotes sustainable results. In short, Sihl is simply the better solution!

Financial Data Analyst

VP of Finance

Full Time – Salary, Exempt

The Financial Data Analyst supports the Finance function by transforming financial, operational, and sales data into insights that drive strategic decision-making. This role places strong emphasis on financial modeling, forecasting, profitability analysis, and sales performance analytics. The analyst will partner with Sales, Accounting, Operations, and Executive Leadership to evaluate revenue trends, customer profitability, pricing effectiveness, and market performance. This position will also play a critical role in ERP readiness through master data cleanup, standardization, and validation to support accurate and efficient data migration.

Additionally, the analyst will develop reporting tools, document workflows, and support training related to financial and sales analytics across the organization.

• Analyze financial, operational, and sales datasets to identify trends, performance drivers, and improvement opportunities.
• Conduct deep sales analytics including customer profitability, product mix, price/margin performance, and territory analysis.
• Develop dashboards and reporting tools (Power BI, Tableau, or similar) to drive visibility into KPIs across revenue, margin, customer behavior, and sales execution.
• Lead master data cleanup, standardization, and validation to support ERP implementation and data migration projects.
• Partner with Sales, Finance, and Operations to evaluate pricing strategies, new product opportunities, promotions, and commercial initiatives.
• Support budgeting and forecasting through data‑driven models, scenario analysis, and revenue/margin projections.
• Perform monthly revenue and margin variance analysis and present insights to leadership.
• Improve data processes by defining data standards, documenting workflows, and enforcing governance best practices.
• Translate insights into recommendations that support financial and operational decision‑making.
• Collaborate cross‑functionally to enhance data quality, strengthen controls, and optimize business processes.

• Bachelor’s degree in Finance, Accounting, Business Analytics, Data Science, or a related field.
• 3–5 years experience in financial analysis, FP&A, or financial data analytics with emphasis on sales analytics.
• Advanced Excel skills including modeling, pivot tables, and Power Query.
• Strong proficiency with SQL and relational databases related to financial and commercial datasets.
• Experience with BI tools such as Power BI or Tableau.
• Strong business acumen with ability to connect data insights to financial, operational, and commercial strategies.
• Experience supporting ERP implementations, especially master data cleanup and migration readiness.
• Ability to communicate complex insights to both technical and non-technical stakeholders.
• Familiarity with Python or R for advanced analytics is a plus.
• Experience documenting processes and developing training materials.
• Experience with sales forecasting methodologies, predictive analytics, or revenue modeling.
• CRM analytics experience (Salesforce preferred).
• Knowledge of ETL processes, data warehousing, or data governance.
• Experience working with large datasets or big-data environments.

The above is intended to describe the general content and requirements of the job and may vary at times according to department objectives and needs for the performance of the job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.