Associate Data Analyst

Job Overview

Are you interested in working in an analytical and strategic center of excellence for a trusted brand that for 100 years has strived to encourage the intellectual and personal growth of all children? Paychex Data & Analytics practice plays a pivotal role in the incubation of high value strategic initiatives and the development of data driven solutions for the Paychexenterprise.

As an Associate Data Analyst on either the Strategic Data Projects or Digital Projects teams, you will be working on critical projects to support our business by outlining requirements, establishing problem statements, and transforming relevant data to conduct analysis. We’re looking for someone who is highly analytical, passionate about hypothesis-driven problem-solving, and excellent at getting things done. These roles require strong communication skills, the ability to manage project scope and deadlines, and a commitment to delivering quality work.

Analysts should recognize that a collaborative mindset and a can-do attitude is key in order to learn, contribute and grow at Paychex.

Paychex Technology Associate Program is designed to identify, train, and promote the next generation of leaders. Each new-hire class receives comprehensive training and is quickly given responsibility to deliver on business goals using industry-leading tools, partners, and technology all while working in an agile, iterative model that emphasizes collaboration, transparency, and goal-oriented development.

The ideal candidate has a solid business head, is numerically savvy and is passionate about getting things done. You should shine at uncovering problems/opportunities, solving them and deploying your solution irrespective of the challenges thrown at you.

• Graduation date in Winter of 2022 or Summer of 2023
• Undergraduate/Graduate degree in business, economics, finance, computer science, math, statistics, engineering or other quantitative disciplines
• Exceptional problem‑solving ability, logical reasoning, creative thinking and quantitative aptitude
• Strong analytical capabilities, with comfort using Excel and PowerPoint. Passion for data‑driven decision making.

• SQL skills for purposes of data extraction, transformation, cleaning and analysis
• Strong Excel (esp. Power Query), R or Python skills in analysis, statistics and charting
• Ability to translate technical requirements to engineering teams, product owners and non‑technical business partners
• Experience in BI and data visualization tools such as Power
  
  BI or Tableau