BetConstruct

Junior Product Analyst

5.0/10
BetConstruct
Not specified
Remote
junior
about 3 hours ago
AI SummaryVerified by Aipplify AI

The vacancy has clear responsibilities but lacks compensation details and has mismatched experience requirements.

AI quality score5.2 / 10

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Overview

Join BetConstruct as a Junior Product Analyst to define product metrics and build analytics frameworks that impact revenue and retention in the iGaming industry. SoftConstruct is on a search for a new player to join our team.

Responsibilities

Product Analytics Strategy

  • •Define and maintain the product analytics roadmap aligned with business objectives.
  • •Establish standardized KPIs for sportsbook, casino, retail, payments, CRM, and promotional mechanics.
  • •Lead the development of product health dashboards and performance monitoring frameworks.

Data-Driven Decision Making

  • •Translate business questions into analytical models and measurable insights.
  • •Provide deep analysis on user behavior, funnels, retention, churn, betting patterns, bonus efficiency, and feature adoption.
  • •Identify growth opportunities and areas of product optimization.

Experimentation & Optimization

  • •Design and oversee A/B testing frameworks and experimentation methodology.
  • •Measure impact of new features, pricing strategies, promotions, and UI/UX changes.
  • •Validate hypotheses using statistical analysis and structured experimentation.

Cross-Functional Collaboration

  • •Partner closely with Product, BI, Marketing, CRM, Risk, Trading, and Finance teams.
  • •Act as a strategic advisor to Product Managers during roadmap planning and prioritization.
  • •Support executive leadership with high-level performance insights and forecasting.

Data Infrastructure & Governance

  • •Work with Data Engineering teams to ensure reliable data pipelines and event tracking.
  • •Improve tracking accuracy and data quality across platforms.
  • •Define clear metric documentation and data dictionaries.

Requirements

  • •5+ years of experience in Product Analytics, Data Analytics, or Business Intelligence
  • •Strong SQL proficiency (advanced level)
  • •Experience with BI tools (Tableau, Power BI, Looker, Metabase, etc.)
  • •Strong understanding of experimentation (A/B testing, statistical significance)
  • •Experience working with large-scale user data and transactional systems
  • •Ability to translate analytical findings into business recommendations
  • •Strong communication and presentation skills
  • •Experience working in fast-paced product organizations
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