# Product Analyst - Sports, Media, & Marketing

**Company:** [Hive](https://hotfix.jobs/companies/hive)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Experience:** 1+ years
**Skills:** SQL, Python, ETL, Node.js, R, MATLAB, Dashboarding, Data Analysis, KPIs, Statistical Analysis
**Posted:** 2024-01-20

> Product Analyst conducts quantitative analysis for sports, media, and marketing products, developing KPIs, analyzing data with SQL/Python, and providing insights to business and client teams. Requires 1-3 years analytics experience and strong communication skills.

## Job Description

## Responsibilities
- Develop product quality and performance KPIs and track over time via dashboarding and automated reporting
- Analyze high volume data using SQL and effectively communicate findings
- Collaborate with Business Development to provide data-backed insights to our partners and clients
- Develop and own product processes. Collaborate with Engineering and QA teams to execute on process-driven objectives
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority

## Requirements
- Bachelor’s or graduate degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics
- 1-3 years of work experience in an analytics focused role at a technology or technology consulting firm
- Experience scripting with **SQL**, extracting large sets of data, and designing ETL flows
- Experience with a statistical or scripting language such as **Python**, **Node.js**, **R**, or **MATLAB**
- Experience in an interdisciplinary/cross-functional field (added points for enterprise-technology, SaaS, client facing, or start-up experience)
- Distinctive problem-solving skills and impeccable business judgment
- Ability to translate analysis results into business recommendations, with excellent written and verbal communication skills
- Experience articulating product and business questions, pulling data from datasets (**SQL**) and conducting business analysis

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