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Data Scientist Analyst

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

Master’s degree in Data Science or related field, Strong skills in Python and SQL, Experience with Azure Databricks and visualization tools.

Key responsabilities:

  • Leverage Azure Databricks for data processing
  • Perform exploratory data analysis to identify trends
  • Build and enhance data visualizations and reports
  • Collaborate with business teams for insights gathering
  • Document analytical processes and communicate findings
U-Haul logo
U-Haul Retailtech: Retail + Technology XLarge https://www.uhaul.com/
10001 Employees
See more U-Haul offers

Job description

Location:

5051 Obama Blvd, Los Angeles, California 90016 United States of America

           

Job Description:

We are seeking a motivated and detail-oriented Data Science Analst to join our growing team. The ideal candidate is passionate about data and excited to apply their skills in solving complex problems. You will work alongside experienced data scientists and analysts to extract insights from data, build models, and contribute to the development of data-driven solutions.

Key Responsibilities:
  • Leverage Azure Databricks for data analysis, processing, and transformation to support data-driven initiatives.
  • Perform exploratory data analysis (EDA) to identify trends and areas for further investigation, contributing to feature engineering as needed.
  • Build, maintain, and enhance data visualizations and reports that provide actionable insights to support decision-making across departments.
  • Collaborate closely with business teams to understand objectives, gather requirements, and create insightful dashboards and reports.
  • Support the design of data models to track KPIs, customer trends, and operational metrics, enhancing business performance monitoring.
  • Partner with senior analysts and business stakeholders to develop data-driven insights that inform strategy and decision-making.
  • Document analytical processes and effectively communicate findings to non-technical audiences for clarity and alignment.

Required Skills and Qualifications:
  • Master’s degree in Data Science, Statistics, Business Analytics, related field or equivalent experience.
  • Strong skills in data analysis using Python and SQL.
  • Experience or familiarity with Azure Databricks and data visualization tools (e.g., Power BI, Streamlit).
  • Knowledge of statistical methods and basic data science concepts.
  • Strong analytical thinking with a keen understanding of how data impacts business decisions.
  • Excellent communication skills, with the ability to translate data insights into clear, actionable reports for stakeholders.
  • Ability to adapt and thrive in a changing environment.
  • Strong drive, energy, initiative, and collaborative spirit.

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. (“U-Haul”), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products.  The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.   

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Retailtech: Retail + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Adaptability
  • Analytical Thinking
  • Verbal Communication Skills

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