πPoland
Product Analyst

Hike
πRemote - India
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Summary
Join Hike and become a key member of the Rush Gaming Universe team! This role requires 2+ years of quantitative analysis experience, preferably in the internet or technology sector, and a Bachelor's degree in a technical field. You will perform quantitative analyses to inform strategic decision-making, conduct competitive analyses, and drive data-driven experimentation. Responsibilities include collaborating with cross-functional teams, enabling data-driven reviews, and communicating insights. Strong skills in Python, SQL, data visualization, and statistical modeling are essential. Hike offers tremendous benefits and perks; details can be found at work.hike.in.
Requirements
- You have 2+ years of experience performing quantitative analysis, preferably for an Internet or technology company
- You have a Bachelorβs degree in Math, Statistics, Comp Science, Engineering, or other technical field
- You are hands-on with Python and SQL
- You are comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources
- You have excellent data visualization capabilities, coupled with a holistic sense of interpreting patterns in data and producing meaningful insights
- You have solid foundations in statistics and data modeling, as well as a hunger to learn and create impact with these skills
- You are familiar with BI tools (e.g. Tableau) Excellent data analysis and problem-solving skills
- You have proven ability to work in a fast-paced environment, meet changing deadlines and priorities on multiple simultaneous projects
- You have excellent organizational, communication, presentation and interpersonal skills
- You enjoy working in both individual and team settings
Responsibilities
- Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making
- Conduct competitive analysis to identify strengths, weaknesses, and opportunities in the market to help inform our strategy
- Own and evangelize data-driven experimentation in the team to improve the product offerings and document it
- Enable reviews, deep dives and analyses through the effective use of data and communicate and report insights and recommendations
- Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
Preferred Qualifications
Advanced degrees are strongly preferred
Benefits
We have tremendous benefits & perks
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