About PoqJoin Poq, the 'super app' SaaS company that empowers retailers and brands to drive fast growth and revolutionise their customer experience through highly effective and fully customisable 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 AnalystReporting to the Head of RevOps, you will be joining the team as a Data Analyst where you’ll drive Poq’s data capabilities by automating data collection, building dashboards, and producing insightful reports. By analysing market trends and user behaviour, you’ll 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.ResponsibilitiesDashboard 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.Analytics Channel Ownership: Manage and prioritise incoming data requests via the internal analytics communication channel, ensuring timely and accurate delivery of insights.Customer Analytics Setup: Assist Poq’s first-line support team in configuring analytics for new customer implementations to ensure seamless data tracking and reporting.Market Research Competitive Analysis: Conduct digital market research to analyse market share, user behaviour, and industry trends, comparing findings against Poq app performance for marketing, customer insights, and consultancy purposes.Business Case Insights: Generate data-driven insights to support feature business cases by assessing uplifts in key KPIs associated with user experience improvementsMonthly/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.Support Customer Success by providing insights into client app performance and identifying key drivers of app adoption, feature usage, and overall app success.Team Player Mentality: Proven ability to collaborate and communicate effectively within a team environment to drive data-driven initiatives. Experience2+ years of experience as a Data AnalystStrong proficiency in Google Analytics and Adobe Analytics for tracking and analysing user behaviour.Strong 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 business intelligence platforms such as Looker and Tableau. Knowledge of recent AI advancements is a plus but not required.Familiarity with cloud-based enterprise data warehouse solutions, such as BigQuery. Good understanding of SQL for querying and manipulating data.Familiarity with programming languages such as Python is a plusSolid understanding of mathematical concepts, including statistics and algebra, to analyze and interpret data effectivelyOutstanding analytical skills for gathering, organizing, analyzing, and presenting large data sets with accuracy and attention to detail.Strong aptitude for identifying challenges and applying data-driven solutions.Previous experience or exposure to the retail or e-commerce industry, with an understanding of relevant metrics and trends.Experience with native mobile app analytics is advantageous but not essentialPoq Values BehavioursDeliberateWe move forward constructively with integrity and purposeWe bring the best version of ourselves every dayWe are experts and innovators at the top of our gameEnterprisingWe are ambitious, resilient and passionate about what we doWe are creative thinkers, problem solvers, decision-makersWe do great work and get things done togetherHonourableWe take ownership and hold ourselves accountableTake pride in our product, our work and each otherWe are honest, decent, and do the right thingOpenWe are open to ideas, learning and evolvingWe work together as one teamWe celebrate and embrace our diversity