Hybrid Data Analyst

at Blackhawk Network

• Job title: Data Analyst
• Job type: Full Time
• Experience level: Junior
• Salary: $78,220 - $101,700 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, United States

About the role

• Data Analyst at Blackhawk Network driving business value through data analysis and machine learning insights. Collaborating with teams to improve models and perform data-driven analysis on strategic issues.

Responsibilities

• Join the Data Science team at Blackhawk Network to help drive business value through advanced data analysis and machine learning model insights.
• Build, maintain, and extend technology systems that provide significant value to BHN's business, including fraud prevention systems.
• Perform data-driven analysis on key strategic issues—from customer segmentation to real-time risk management tools.
• Collaborate with Data Scientists, ML Engineers, Product, and Executive teams to ensure optimal performance of data systems and models.
• Work closely with the Data Science and ML Engineering teams to generate reports on machine learning model performance and health.
• Help improve models through post-decision performance analysis.
• Monitor and analyze brand statistics to ensure fair decision-making across multiple brands.
• Set up and manage AB and multivariate tests; interpret results for business stakeholders.
• Interface with Product and Engineering to ensure optimal instrumentation of BHN risk models and reported data visualizations.

Requirements

• Bachelor’s degree in Math, Computer Science, Physics, or another analytical degree required.
• 1–2 years of experience working with data to address key business challenges in an engineering or quantitative role.
• Strong programming skills, with proven proficiency in Python for data manipulation and analysis.
• Demonstrated proficiency in either the Streamlit Python package or Power BI for visualization and dashboarding.
• Strong analytical background with expert ability to break down and clearly define complex business and technical problems.
• Proficient in understanding and analyzing machine learning methodologies/statistical modeling (regression, classification, and unsupervised approaches).
• Excellent written and verbal communication skills.

Benefits

• 401k with employer match
• Medical, dental, and vision insurance
• 12 paid holidays in the year 2025
• Sick pay accrual according to state law
• Parental leave
• Life insurance
• Disability insurance
• Accident and illness insurance
• Health and dependent care flexible spending accounts
• Wellness benefits
• Flexible time off for all full-time employees