Data Analyst

Social network you want to login/join with: Join 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 Analyst (initial 3 month contract) Reporting 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. Responsibilities 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. 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 improvements. 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. Support Customer Success: Provide insights into client app performance and identify 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. Experience 2 years of experience as a Data Analyst Strong proficiency in Google Analytics and Adobe Analytics for tracking and analysing user behaviour. Previous experience or exposure to the retail or e-commerce industry, with an understanding of relevant metrics and trends. 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 plus. Solid understanding of mathematical concepts, including statistics and algebra, to analyze and interpret data effectively. Outstanding 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. Experience with native mobile app analytics is advantageous but not essential. Deliberate We move forward constructively with integrity and purpose We bring the best version of ourselves every day We are experts and innovators at the top of our game Enterprising We are ambitious, resilient and passionate about what we do We are creative thinkers, problem solvers, decision-makers We do great work and get things done together We take ownership and hold ourselves accountable Take pride in our product, our work and each other We are honest, decent, and do the right thing Open We are open to ideas, learning and evolving J-*****-Ljbffr