Senior Data Analyst

Bangkok, Thailand

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Appsynth

As a digital innovation consultancy, we help forward-thinking companies create new products and services to win in the digital-first world.

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Posted 6 months ago

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