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Join Poq, the 'super app' SaaS company
Empowering retailers and brands to drive fast growth and revolutionize customer experience through highly effective and fully customizable mobile native apps.
Role Overview - Data Analyst (initial 3-month contract)
Reporting to the Head of RevOps, you will enhance Poq’s data capabilities by automating data collection, building dashboards, and producing insightful reports. Your analysis of market trends and user behavior will deliver strategic insights across marketing, customer success, and product development. You will support analytics setup for new clients, contribute to feature development, and provide monthly performance insights to inform campaigns and sales strategies, enabling data-driven decision making.
Responsibilities
- Dashboard & KPI Management: Design, maintain, and improve dashboards and reports to monitor KPIs such as app engagement, retention, conversion rates, and revenue growth.
- Analytics Channel Ownership: Manage data requests through internal channels, ensuring timely and accurate insights delivery.
- Customer Analytics Setup: Assist in configuring analytics for new customer implementations to ensure seamless data tracking.
- Market Research & Competitive Analysis: Conduct research to analyze market share, user behavior, and industry trends, comparing findings with app performance for marketing and insights.
- Business Case Insights: Generate data-driven insights to support feature development and assess impacts on KPIs.
- Performance Reporting: Support the relaunch of quarterly app insights reports, enhancing brand credibility and sales collateral.
- Customer Success Support: Provide insights into client app performance and key drivers of adoption and usage.
- Team Collaboration: Communicate effectively within the team to drive data initiatives.
Experience & Skills
- At least 2 years of experience as a Data Analyst.
- Proficiency in Google Analytics and Adobe Analytics.
- Experience or familiarity with retail or e-commerce metrics and trends.
- Strong skills in Google Workspace tools, especially Sheets, with automation and advanced formulas.
- Experience with BI platforms like Looker and Tableau.
- Knowledge of cloud data warehouses such as BigQuery.
- Proficiency in SQL; familiarity with Python is a plus.
- Understanding of statistics and algebra for data analysis.
- Excellent analytical skills and attention to detail.
- Ability to identify challenges and develop data-driven solutions.
- Experience with native mobile app analytics is advantageous but not essential.
Our Values
Deliberate
- Act with integrity and purpose
- Bring your best self every day
- Be an expert and innovator
Enterprising
- Be ambitious, resilient, and passionate
- Think creatively and solve problems
- Collaborate effectively and take ownership
- Take pride in your work and integrity
Open
- Be receptive to ideas, learning, and growth