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HiveHiveSan Francisco, CA

Product Analyst - Sports, Media, & Marketing

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.

Salary not listed
On-site1+ YOEData Analytics

About the role

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

Skills

SQLPythonETLNode.jsRMATLABDashboardingData AnalysisKPIsStatistical Analysis

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