Entegral Data Analyst (Finance)

Summary

Entegral, a SaaS business-to-business solution provider, is seeking a Data Analyst (Finance) to analyze and optimize financial and operational performance. The role involves building automated reporting systems, financial models, predictive analysis tools, dashboards, and pricing strategies while delivering data-backed recommendations to stakeholders and leadership.

Responsibilities

• Develop methods for calculation and reporting of financial metrics for various departments and teams, determining and evolving data source strategy to meet the needs of the business
• Develop and maintain financial models to forecast future performance, assess different scenarios, and identify potential risks and opportunities
• Provide end to end analysis using advanced data mining to extract intelligence from the data and provide strategic insights and recommendations
• Prepare detailed reports, dashboards and presentations on findings, analysis, and recommendations for stakeholders and senior management
• Collaborate with product and engineering teams to optimize data structures and standards for data ingestion
• Query and analyze large datasets to uncover hidden trends, patterns, and root causes of business problems
• Translate technical data findings into actionable strategic recommendations for non-technical leadership and department leads (Sales, Product, Finance, Operations etc)
• Work with Product and Sales departments to develop pricing strategies for Entegral products
• Leverage AI and modern analytics framework to design and maintain interactive financial tools, calculators and scenario models
• Evaluate product profitability and vendor cost structures, building analytical models to assess pricing changes and identify margin improvement opportunities across the business
• Help define and drive the data strategy for the Finance Department ensuring it remains scalable, accurate and consistent
• Create presentations for Executive Leadership Team
• Serve as a project manager for various company wide projects

Skills

• Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
• Must be located in **AZ, FL, IL, LA, MD, MI, MN, MO, NJ, NV, NY, OH, OR, TN, PA, TX, VA, WA or WI**
• Must be able to travel and attend in-person meetings, training, and business events at company offices and other U.S. locations, including Madison, WI and St. Louis, MO, up to 1-2 times per year as required
• Must be minimum 18 years of age
• For remote or full remote work-from-home positions, reliable high-speed internet, a dedicated professional workspace, and a functioning webcam are required
• This position operates in a camera-on, video-first environment, and regular video participation is a condition of employment
• Bachelor's Degree or higher in Business, Finance or Data Science or equivalent
• 4+ years of professional work experience as a **Data Analyst** or **Data Analytics** performing the following duties:
• Extracting, cleaning and analyzing complex datasets to drive actionable business strategies
• Writing SQL queries and managing data pipelines
• Transforming raw data and analytics into strategic business recommendations
• Building intuitive metric dashboards and automated reports (Tableau, PowerBI, etc.)
• Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar)
• Intermediate level proficiency or higher in Excel
• Strong analytical skills
• Strong attention to detail
• Ability to maintain confidential information
• Strong time management and organizational skills
• Exceptional communications both verbal and written
• Strong sense of initiative, requiring little direct supervision
• Strong understanding of accounting policies and rules
• Ability to maintain confidential information
• Experience working in Accounting or Finance for a SaaS company
• Google Suite Experience (Looker Studio, Google Sheets)
• AI Experience

Qualifications

Must Haves

• Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
• Must be located in **AZ, FL, IL, LA, MD, MI, MN, MO, NJ, NV, NY, OH, OR, TN, PA, TX, VA, WA or WI**
• Must be able to travel and attend in-person meetings, training, and business events at company offices and other U.S. locations, including Madison, WI and St. Louis, MO, up to 1-2 times per year as required
• Must be minimum 18 years of age
• For remote or full remote work-from-home positions, reliable high-speed internet, a dedicated professional workspace, and a functioning webcam are required
• This position operates in a camera-on, video-first environment, and regular video participation is a condition of employment
• Bachelor's Degree or higher in Business, Finance or Data Science or equivalent
• 4+ years of professional work experience as a **Data Analyst** or **Data Analytics** performing the following duties:
• Extracting, cleaning and analyzing complex datasets to drive actionable business strategies
• Writing SQL queries and managing data pipelines
• Transforming raw data and analytics into strategic business recommendations
• Building intuitive metric dashboards and automated reports (Tableau, PowerBI, etc.)
• Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar)
• Intermediate level proficiency or higher in Excel
• Strong analytical skills
• Strong attention to detail
• Ability to maintain confidential information
• Strong time management and organizational skills
• Exceptional communications both verbal and written
• Strong sense of initiative, requiring little direct supervision
• Strong understanding of accounting policies and rules
• Ability to maintain confidential information

Nice to Haves

• Experience working in Accounting or Finance for a SaaS company
• Google Suite Experience (Looker Studio, Google Sheets)
• AI Experience

Benefits

• Teleworking-first organization with work from home and hybrid employees
• Career advancement opportunities
• Work-life balance
• Paid vacation
• Paid parental leave
• Sick leave
• Flex days
• Medical insurance benefits
• Dental insurance benefits
• Vision insurance benefits
• Dependent spending account
• Health savings account
• Life insurance
• Disability insurance
• Fertility benefits
• Employee Assistance Programs
• Profit sharing
• 401(k) employer match