Entegral Data Analyst Sr.

Enterprise Mobility•,

4d•$101,500 - $124,400•Hybrid

About The Position

The Senior Data Analyst at Entegral analyzes, evaluates, and helps optimize financial and operational performance. Working at the intersection of finance and data, this role builds automated reporting systems, predictive analysis tools, financial calculators, and models that inform operational and pricing strategies. The analyst partners with departments across the company to turn complex datasets into actionable recommendations and strategic insights. The role develops financial metrics and forecasts, performs end-to-end analysis of large datasets, evaluates product profitability and vendor costs, and helps define the Finance Department’s data strategy. It also collaborates with Product, Engineering, Sales, Finance, and Operations; communicates findings to stakeholders and executive leadership; manages company-wide projects; and mentors team members. Entegral is a teleworking-first organization with work-from-home and hybrid employees. Remote work-from-home applicants must reside permanently in an eligible state, maintain reliable high-speed internet and a dedicated professional workspace, and participate regularly in a camera-on, video-first environment. The position may require travel to in-person meetings, training, and business events, including at company offices in Madison, Wisconsin, and St. Louis, Missouri, up to one or two times per year. The role pays $101,500–$124,400 annually; compensation may also include bonuses depending on the position.

Requirements

Must be authorized to work in the United States without requiring company sponsorship now or in the future.
Must permanently reside in an eligible state: 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 to in-person meetings, training, and business events at company offices and other U.S. locations up to one or two times per year as required.
Must be at least 18 years old.
For remote work-from-home arrangements, must have reliable high-speed internet, a dedicated professional workspace, and a functioning webcam; regular video participation in a camera-on, video-first environment is a condition of employment.
Five or more years of professional data analytics experience, including extracting, cleaning, and analyzing complex datasets; writing SQL queries and managing data pipelines; transforming analytics into strategic recommendations; and building metric dashboards and automated reports using tools such as Tableau or Power BI.
Professional experience with cloud data warehouses such as BigQuery, Snowflake, or similar.
Intermediate-level proficiency or higher in Excel.
Strong analytical skills and attention to detail.
Ability to maintain confidential information.
Strong time-management and organizational skills.
Exceptional verbal and written communication skills.
Strong initiative and ability to work with little direct supervision.

Nice To Haves

Bachelor’s degree in Business, Finance, Data Science, or equivalent preferred.
Experience with JSON.
Experience with financial analysis.

Responsibilities

Develop methods for calculating and reporting financial metrics for departments and teams, and evolve data-source strategies to meet business needs.
Develop and maintain financial models to forecast performance, assess scenarios, and identify risks and opportunities.
Use data-mining and data-manipulation tools and databases, such as SQL, R, Python, and SAS, to analyze data and provide strategic insights and recommendations.
Prepare detailed reports, dashboards, and presentations of findings, analysis, and recommendations for stakeholders and senior management.
Collaborate with Product and Engineering teams to optimize data structures and data-ingestion standards.
Query and analyze large datasets to uncover trends, patterns, and root causes of business problems.
Translate technical findings into actionable recommendations for nontechnical leadership and department leads, including Sales, Product, Finance, and Operations.
Work with Product and Sales to develop pricing strategies for Entegral products.
Use AI and modern analytics frameworks to design and maintain interactive financial tools, calculators, and scenario models.
Evaluate product profitability and vendor cost structures; build models to assess pricing changes and identify opportunities to improve margins.
Help define and drive a scalable, accurate, and consistent data strategy for the Finance Department.
Lead investigative data initiatives and research to identify trends, business synergies, and cross-departmental insights or solutions.
Create presentations for the Executive Leadership Team.
Serve as project manager for company-wide projects.
Mentor team members and demonstrate leadership.
Maintain working knowledge of internal reports and key performance indicators.
Stay current on analytical tools, platforms, and methods.