Senior Data Analyst (Customer Experience)

TL;DR

Senior Data Analyst (Customer Experience): Building and optimizing data-driven insights and analytical models for customer relationships, churn, and product usage with an accent on statistical foundations and machine learning applications. Focus on developing scalable data analytics vision, identifying solutions for critical business problems, and synthesizing complex data for actionable strategies.

Location: Must be based in Lehi, Utah

Company

hirify.global is a rapidly growing product company that provides AI employees to local businesses, turning conversations into revenue.

What you will do

• Work closely with internal business stakeholders, leveraging statistical and analytical concepts to answer key business questions pertaining to customer churn, clustering, and machine learning projects.
• Research, design, implement, and deploy full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• Attack hirify.global’s most critical business problems, identify solutions, and partner with technical and operational teams to create business value.
• Synthesize large volumes of data from various sources to develop targeted insights using repeatable and scalable techniques.
• Build agents in Snowflake to help give data-driven recommendations to Customer Success Managers/Onboarders on how to best retain customers.
• Leverage LLMs as necessary to analyze unstructured text data and provide insights around product usage.

Requirements

• 4+ years of relevant experience with a Bachelor's degree in economics, finance, data science, statistics or related field.
• 2+ years of relevant experience in bizops, product, or customer analytics.
• On-the-job experience working within a fast-paced and complex business setting.
• Proven ability to convert data to insight and communicate why it matters, both verbally and in writing.
• Extensive experience working on strategy or full-life cycle data analysis with tech/programming languages such as Python, R, Git, DBT, Databricks/Snowflake.
• Expert understanding of SQL and basic understanding of core statistical concepts.

Nice to have

• Proven track record of translating data insights into strategic recommendations that have positively impacted business outcomes.
• Demonstrated ability to build automated, scalable, and repeatable solutions that enable a broad range of business users to derive value from analytical development.
• Capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science management.

Culture & Benefits

• Open and transparent culture.
• Life insurance, long and short-term disability coverage.
• Paid maternity and paternity leave, and fertility benefits.
• Generous vacation time, plus three 4-day summer holiday weekends.
• Excellent medical, dental, and vision benefits, and a 401k Plan with competitive company matching.
• A stellar HQ (Utah) gym with local professional coaches and classes, and an onsite HQ (Utah) child care center.
• Additional benefits for fully remote employees.