Appsynth

Senior Data Analyst

9 January 2025
Full Time
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Deadline date:
£43000 - £80000 / year

Job Description

Report to: Head of Consulting

What will you do

  • Communicate with clients and colleagues to understand business needs, then define data requirements and collection methods based on this
  • Turn high-level business objectives into data analysis goals, hypotheses and questions to explore
  • Explain results by identifying key drivers and suggest actions to address any issues
  • Segment data in meaningful ways to gain a deeper understanding of behavior across different user groups
  • Help clients validate future requirements and prioritize backlogs based on user data
  • Analyze user journeys/funnels to identify drop off points, ideate potential improvements then run experiments to test these
  • Perform exploratory data analysis and review mining to identify potential enhancements for client products
  • Perform competitor and market data analysis based on public data sources to identify other opportunity areas
  • Help define product success metrics based on client goals, then break these down into key input metrics to track and optimize
  • Define and maintain a data taxonomy for each product to ensure we track the right metrics and achieve a consistent understanding across teams
  • Test analytics implementations to ensure tracking is configured as expected
  • Compare and analyze tools to recommend the right data and mar-tech stack to meet specific business needs and guide clients on how to get more value from the tools they are already using.
  • Create and maintain dashboards to monitor key statistics across all projects
  • Help us back-up our recommendations with evidence and visualize data in compelling ways that support our storytelling
  • Communicate insights to business users, breaking down technical concepts into easy-to-understand language
  • Document learnings and systemize processes into playbooks that others can follow

What will you need

  • Must have :
    • Experience using a range of data and mar-tech tools (eg. product analytics, install attribution, marketing automation, CDP, market intelligence)
    • Excellence in at least one of these analytics tools: Amplitude, Mixpanel, GA etc.
    • A team player who is proactive, self-managed, curious, and with creative problem solving ability.
    • Good understanding of statistics and data modeling techniques
    • A product mindset – able to understand business requirements and user needs to recommend what to analyze
  • Considered a plus :
    • Familiar with product optimization processes (A/B testing)
    • Experience in at least one of these: SQL, BigQuery, Hive, Spark or Databricks
    • Knowledge in Python or Scala
    • Knowledge in Google cloud platform / AWS data platform
    • Experience with business intelligence tools like PowerBI
    • Experience with data visualization tools like Tableau or Looker

Perks & Benefits

  • 🏖 10 days vacation each year and increase every service year
  • 💝 Sabbatical leaves (up to 4 weeks) 
  • 💪 Health insurances 
  • 💻 MacBook provided or BYOD (bring your own device) 
  • 🏦 Provident fund
  • 🍪 Free drinks & snacks
  • 🍻 Beer Tap at the office 
  • 👯 Team building & company outing

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