Entegral Data Analyst Sr.

Overview

Entegral is seeking a motivated, adaptable, career-minded teammate who would like to utilize their skill set in a thriving agile-methodology environment. We offer competitive career advancement opportunities, a comprehensive benefits package and  promote a work-life balance. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference

ABOUT THE ROLE

 

The Data Analyst Sr. for Entegral plays a key role in analyzing, evaluating and optimizing our financial and operational performance.  Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across Entegral to help shape our operational and pricing strategies and provide data-backed insights. This role is ideal for a data-driven analytical thinker who thrives on translating complex datasets into actionable strategic recommendations.

 

WHAT WE OFFER 

 

We are a  teleworking-first organization with work from home and hybrid employees. Residents of the following United States are invited to apply for work from home opportunities, as these are the locations Entegral has business licenses: AZ, FL, IL, LA, MD, MI, MN, MO, NJ, NV, NY, OH, OR, PA, TN, TX, VA, WA and WI.

 

At Entegral, we are committed to creating an inclusive environment where all employees can thrive.

The compensation information below is provided in compliance with job posting disclosure requirements in Illinois, Maryland, Minnesota, Nevada, New Jersey,  New York, and Washington.  

 

Pay range: $101,500 - $124,400 annually.

 

Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs. Depending on the position, compensation may also include bonuses. 

 

Entegral also offers a benefits package including paid vacation, paid parental leave, sick leave, and flex days; medical, dental, and vision insurance benefits; dependent spending account, health savings account, life and disability insurance; fertility benefits, Employee Assistance Programs; profit sharing and 401(k) employer match.

 

We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.

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 and manipulation skills with available tools and databases (SQL, R, Python, SAS, etc.) 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

• Spearhead investigative data initiatives and research to discover trends, business synergies, and other cross-departmental  insights or solutions

• Create presentations for Executive Leadership Team 

• Serve as a project manager for various company wide projects 

• Exhibit leadership through mentoring team members 

• Maintain a strong working knowledge of internal reports and key performance indicators (KPIs)

• Stay current on new analytical tools, platforms and methods

Equal Opportunity Employer/Disability/Veterans

Qualifications

Required:

• 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 permanently reside in one of the following states: 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 (Business, Finance, Data Science or equivalent preferred)
• 5+ years of professional work experience in data analytics including:- 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

Preferred:

• Experience with Json
• Experience with Financial Analysis

 

Qualified Candidates Should Also Possess: 

• 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