Data Analyst

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Join Poq, the 'super app' SaaS company that empowers retailers and brands to drive fast growth and revolutionize their customer experience through highly effective and fully customizable mobile native apps.

As a member of our team, you'll play a pivotal role in shaping the future of retail by enabling brands to provide a superior shopping and engagement experience - anytime, anywhere.

At Poq, we collaborate with retailers to build stronger brands, increase product sales, foster customer loyalty, and deliver highly relevant content, communications, and rewards. Our clients include global brands such as e.l.f. Cosmetics, Ardene, Cotton Traders, Card Factory, Kurt Geiger, and many more!

With our apps serving consumers in the UK, US, Europe, and Australia, you'll be at the forefront of driving international impact. Joining our team means gaining exposure to the latest and most progressive technologies in retail.

As a remote-first company, we offer a dynamic work environment that encourages collaboration and creativity. If you're passionate about pushing the boundaries of digital business-to-consumer (B2C) innovation and want to contribute to the growth of a forward-thinking company, Poq is the place for you.

About the role - Data Analyst (initial 3-month contract)

Reporting to the Head of RevOps, you will be joining as a Data Analyst where you’ll drive Poq’s data capabilities by automating data collection, building dashboards, and producing insightful reports. You’ll analyze market trends and user behavior to deliver strategic insights for marketing, customer success, and product enhancements. You’ll also support analytics setup for new customers, contribute to feature development, and provide monthly performance insights to inform campaigns and sales efforts, helping Poq make smarter, data-driven decisions.

Responsibilities

1. Dashboard & KPI Management: Design, maintain, and enhance dashboards and reports to track critical KPIs, including app engagement, retention, conversion rates, and revenue growth across our customer base.
2. Analytics Channel Ownership: Manage and prioritize incoming data requests via the internal analytics communication channel, ensuring timely and accurate delivery of insights.
3. Customer Analytics Setup: Assist Poq’s support team in configuring analytics for new customer implementations to ensure seamless data tracking and reporting.
4. Market Research & Competitive Analysis: Conduct digital market research to analyze market share, user behavior, and industry trends, comparing findings against Poq app performance for marketing, customer insights, and consultancy purposes.
5. Business Case Insights: Generate data-driven insights to support feature business cases by assessing uplifts in key KPIs associated with user experience improvements.
6. Monthly/Quarterly Insights & Performance Report: Support the relaunch of Poq’s quarterly app insights and performance report, enhancing brand credibility, aligning with the marketing content strategy, and adding value to sales collateral.
7. Support Customer Success: Provide insights into client app performance and identify key drivers of app adoption, feature usage, and overall app success.
8. Team Collaboration: Proven ability to collaborate and communicate effectively within a team environment to drive data-driven initiatives.

Experience

• 2+ years of experience as a Data Analyst
• Strong proficiency in Google Analytics and Adobe Analytics for tracking and analyzing user behavior.
• Experience or exposure to retail or e-commerce industry, with understanding of relevant metrics and trends.
• Proficiency in Google Workspace tools such as Sheets, including advanced formulas and automation. Knowledge of recent AI advancements is a plus but not required.
• Hands-on experience with BI platforms like Looker and Tableau. Knowledge of AI is a plus but not required.
• Familiarity with cloud-based data warehouse solutions like BigQuery.
• Good understanding of SQL for data querying and manipulation.
• Knowledge of programming languages such as Python is a plus.
• Strong understanding of statistics and algebra to analyze and interpret data.
• Outstanding analytical skills for handling large data sets with accuracy and attention to detail.
• Ability to identify challenges and apply data-driven solutions.
• Experience with native mobile app analytics is advantageous but not essential.