Data Scientist

Pay: $75000 / year

Salary offers are based on a wide range of factors including relevant skills training experience education and where applicable certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits Information:

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy happy lives. Our pay and benefit plans have been designed to promote employee health in all respects physical financial and developmental. Depending on whether it is a part-time or full-time position some of the benefits offered may include:

Day 1 Medical supplemental health dental & vision for FT employees who work 30 hours

Best-in-class well-being programs

Annual no-cost health assessment program Blueprint for Wellness

healthyMINDS mental health program

Vacation and Health/Flex Time

6 Holidays plus 1 MyDay off

FinFit financial coaching and services

401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service

Employee stock purchase plan

Life and disability insurance plus buy-up option

Flexible Spending Accounts

Annual incentive plans

Matching gifts program

Education assistance through MyQuest for Education

Career advancement opportunities

and so much more!

Analyzes business data to identify trends answer key questions and measure the impact of strategic initiatives. They provide the actionable insights and data-driven stories that help leaders make informed decisions.

• Performs ad-hoc analysis to identify the root cause of trends in business performance
• Develops and tracks key performance indicators (KPIs) in partnership with business stakeholders
• Communicates findings and recommendations to business leaders through data visualizations and reports
• Writes code to transform raw data into clean structured and reliable data sets for analysis
• Builds and maintains automated business intelligence dashboards and reports
• Documents data sources models and metrics to maintain a trustworthy data ecosystem

• 1-3 years of experience in an analytical role. Foundational skills in statistics SQL and a programming language like Python or R are required
• An advanced degree can often substitute for 1-2 years of work experience

Knowledge:

• Foundational knowledge of statistics probability and key performance indicators (KPIs) relevant to the business;
• Foundational knowledge of data warehousing concepts (e.g. dimensional modeling) and BI tools (e.g. Looker Tableau PowerBI)

Skills:

• Strong proficiency in SQL for data extraction and manipulation and Python or R for statistical analysis
• Ability to communicate findings clearly through data visualization and written reports