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Customer Insight Analyst

ABA Bank · Phnom Penh

New
Mid 🇬🇧 English
SQL BigQuery Excel PowerPivot PowerQuery Python Pandas Data Studio Looker Studio Tableau PowerBI Machine Learning

Job description

About the role

ABA Bank is looking for a Customer Insight Analyst in its Head Office in Phnom Penh. The role gathers data on digital product user interaction and runs descriptive, diagnostic and predictive analysis according to the needs of the Customer Intelligence department, advocating a customer-centric approach for digital products.

Key responsibilities

  • Cleanse, standardize and enrich customer data acquired.
  • Analyze complex datasets from analytical tools, backend systems, core systems and the contact center.
  • Query and analyze large customer datasets with BigQuery for cross-functional reporting.
  • Build tools to automate customer data analysis.
  • Analyze how competitors' offerings and new market products affect customer activity.
  • Assist the Senior Customer Intelligence analyst with segmentation techniques such as RFM and Customer Lifetime Value.
  • Use statistical analysis to uncover consumer insights and validate hypotheses.
  • Help the Head of Customer Intelligence analyze key metrics such as churn and retention rates.
  • Analyze survey and focus group responses to understand customer needs.
  • Act as the Customer/User representative within Digital Product teams.
  • Create visualizations and dashboards in Data Studio / Looker Studio or Tableau.
  • Develop and test AI models to improve predictive analytics, and apply machine learning to cross-sell and up-sell initiatives.
  • Leverage generative AI tools to improve daily analytical productivity.

Required profile

  • Bachelor's degree in Computer Science, Information Technology or Economics.
  • Experience as a data analyst or product analyst for a startup.
  • Proven success in creative problem solving and customer-based research.
  • Motivated self-starter, strong team player, proactive and detail-oriented.

Required skills

  • SQL querying; BigQuery is a plus.
  • Analytical tools such as Excel, PowerPivot, PowerQuery, Python or Pandas.
  • Statistical analysis and machine learning model building, especially for cross-sell and up-sell.
  • Dashboards in Data Studio / Looker Studio or Tableau (preferable); PowerBI is a plus.
  • Proficiency with generative AI tools.

Questions fréquentes

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Published 11 hours ago

Expires 1 month from now

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ABA Bank

Phnom Penh