Overview

Job Responsibilities

• Understand needs across multiple tiers (e.g. product, operations, logistics, business strategy, program management, and engineering)
  
• Build deep knowledge of relevant internal and external data repositories
  
• Work collaboratively with the Product team to design measurement plans and test and learn strategies to iterate on feature development rapidly
  
• Own the dialogue around the learnings from these tests, making recommendations is key - not just describing the output
  
• Conduct exploratory analyses, both open-ended and targeted, and translate these into meaningful and insightful information for business users via appropriate tools 
  
• Respond to ad hoc requests for information and analyses and be able to use your knowledge and intuition to highlight what is important and/or questionable 
  
• Use data and programming skills to transform and manipulate data sources as needed
  
• Understand stakeholder needs and translate them; understand what consumers are asking for, where to find data and deliver it in a consumable way
  
• Work with sometimes unstructured or inconsistent data and understand how it is generated
  
  

Qualifications

• Degree in Statistics, Mathematics, Computer Science, or Information Systems, or equivalent experience
  
• 2+ years previous experience serving on an Analytics team, particularly focused on product-related metrics like customer experience, feature performance, and website analytics
  
• 2+ years of experience writing complex SQL queries
  
• Proficient in Python and Data Analysis
  
• Demonstrated ability to communicate effectively with all project stakeholders, including executive leadership, business subject area leaders, and project staff
  
• Strong business acumen and ability to quickly understand what is important to the business and when results look incorrect
  
• Ability to work sometimes without clear direction in times of uncertainty and ambiguity
  
• Understanding of data extraction mechanisms, data warehousing, and ETL concepts
  
• Strong analytical, troubleshooting, and problem-solving skills in data-related projects
  
• Experience with data visualization tools such as Tableau, Looker, Mode, or Power BI
  

Work Environment

• Remote; work from home role
  
• Monday-Friday work week, 8-5pm Eastern or Central Time
  

Emerge seeks, in all its operations, to employ individuals for available positions based on their qualifications, working knowledge, and competency. Emerge has a continuing commitment to ensure that fair and equal employment opportunities are extended to all qualified persons without regard to race, color, religion, sex, gender, sexual orientation, national origin, ethnicity, alienage, citizenship or immigration status, age, mental or physical disability, medical condition, pregnancy, military/veteran status, predisposing genetic characteristics, familial status, marital status, domestic violence victim status, or based on their relationship or association with members of a protected class or any other protected classification, in accordance with applicable federal, state and local laws.. Emerge is committed to diversity in its most inclusive sense.

By completing an application with us, you seek to join a team of hardworking professionals dedicated to consistently deliver outstanding service to our customers and contribute to the financial success of the organization, its clients, and its employees. Equal access to programs, services and employment is available to all qualified persons. Those applicants requiring accommodation to complete the application and/or interview process should contact our Emerge Recruitment Office.