Data Analyst

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JR Italy
Novara
Remoto
EUR 30.000 - 60.000
Sii tra i primi a mandare la candidatura.
Ieri
Descrizione del lavoro

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Join Poq

We are a '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 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 join as a Data Analyst to drive Poq’s data capabilities by automating data collection, building dashboards, and producing insightful reports. You will analyze market trends and user behavior to deliver strategic insights for marketing, customer success, and product improvements. Additionally, you will 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 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 success.
  8. Team Player Mentality: Proven ability to collaborate and communicate effectively within a team environment to drive data initiatives.

Experience

  1. 2+ years of experience as a Data Analyst
  2. Proficiency in Google Analytics and Adobe Analytics for user behavior analysis
  3. Experience or exposure to retail or e-commerce industry, understanding relevant metrics and trends
  4. Strong skills in Google Workspace tools such as Sheets, including advanced formulas and automation; knowledge of recent AI advancements is a plus
  5. Experience with BI platforms like Looker and Tableau; AI knowledge is a plus
  6. Familiarity with cloud data warehouse solutions like BigQuery
  7. Good understanding of SQL for data querying and manipulation
  8. Knowledge of programming languages such as Python is a plus
  9. Solid understanding of statistics and algebra for data analysis
  10. Excellent analytical skills and attention to detail
  11. Ability to identify challenges and apply data-driven solutions
  12. Experience with native mobile app analytics is advantageous but not essential

Deliberate

  • Move forward constructively with integrity and purpose
  • Bring the best version of ourselves every day
  • Be experts and innovators at the top of our game

Enterprising

  • Be ambitious, resilient, and passionate
  • Think creatively, solve problems, make decisions
  • Collaborate effectively to achieve great work
  • Take ownership and be accountable
  • Take pride in our work, product, and team
  • Act honestly and ethically

Open

  • Be receptive to ideas, learning, and evolution
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