Data Analyst diving deep into data for player behavior insights to shape future games at Hyper Hippo Entertainment. Creating predictive models, dashboards, and reports for business strategies.
About the role
- Business Data Analyst supporting Canadian Collision and Glass franchise brands through data-driven insights. Engaging in advanced analytics, data storytelling, and meeting business needs with analytical solutions.
Responsibilities
- Analyze large and complex data sets, identify trends/patterns, perform ad-hoc analysis, create data models across our brands using SQL, Python, etc.
- Translate complex analysis into actionable insights that support strategic planning and operational decision-making.
- Assist Data Science team in discovery, back-end dev, optimization of advanced analytics models.
- Conduct ad-hoc and recurring analyses to support sales growth, operational efficiency, and KPI performance.
- Ensure data accuracy, consistency, and quality, working with data engineers to optimize pipelines.
- Support test-and-learn initiatives and performance measurement to quantify business impact.
- Develop & maintain scalable automations for data sources, reports, periodic analysis.
- Define, track, and report on Key Performance Indicators (KPIs) aligned with business goals.
- Document data sources, methodologies, and reporting logic to ensure transparency and consistency.
- Partner with Operations, Insurance, Finance, and leadership to translate business needs into analytical solutions.
- Support regional and district leaders with data-driven insights to prioritize initiatives that improve performance.
- Develop and present clear analytical narratives and recommendations to leadership.
- Support BI and analytics projects from concept through implementation and assist advanced analytics initiatives as needed.
Requirements
- Bachelor’s degree in quantitative field (math, statistics, physics, engineering, economics, computer science) or equivalent years of experience.
- Minimum 2 years’ professional experience in SQL & a scripting language (R/Python).
- Minimum 2 years’ professional experience with KPI reporting and dashboard building.
- Advanced SQL and advanced Excel skills.
- Strong analytical and problem-solving skills.
- Effective written and verbal communication skills.
- Attention to detail and commitment to data accuracy.
- Added Fuel if you have:
- Experience performing data analysis and/or building automations in Python/R.
- Experience with predictive analytics, statistical modeling, or automation.
- Passion for solving sophisticated problems through data analysis.
- Working knowledge of applied statistics.
- Experience in data visualization, preferably in Tableau, Qlik or Power BI.
Benefits
- Health and wellness benefits
- Paid time off
- Holiday pay
- Early access to 50% of earned wages
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