Hike campus drive is recruiting candidates for Senior Product Analyst. Candidates who completed graduation with Bachelor’s degree are eligible can apply for this job. The required details are below, including the agenda, eligibility, procedure, and application process.
Company Name | Hike |
Post Name | Senior Product Analyst |
Salary | 8 LPA (Expected) |
Experience | Freshers/Experience |
Batch | 2018-2022 |
Job Location | Work From Home (Pan India) |
Qualifications | Bachelor’s degree |
Official website | Click here |

Skills & experience
You have a Bachelor’s degree in Math, Statistics, Comp Science, Engineering, or another technical field is a must; Advanced degrees will be preferred.
You have a very good understanding of mobile and Internet products, growth strategies, and business dynamics.
You have 3 to 6 years of experience performing quantitative analysis, preferably for an Internet or technology company.
You have strong hands-on experience with SQL and Python
You are comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources. Experience with querying massive-scale data with BigQuery is preferred.
You have experience in reporting and dashboarding with tools like Tableau, Google Analytics, etc.
You have a good understanding of statistical analysis, data warehousing, data modeling
You have proven ability to work in a fast-paced environment and 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.
Role & Responsibility
Continuously turn business questions into data analysis to make data & evidence-based decisions and crucial business recommendations.
Create visual displays of quantitative information to deliver effective presentations of findings and recommendations to multiple levels of leadership, develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving analytical needs.
Collaborate with cross-functional partners to understand their business needs, and formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
Have experimentation at the core of what you do. You own and evangelize data-driven experimentation in the team to improve the product offerings, and document it.
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