• Collects, records, and analyzes data using established protocols and processes; communicates findings to TME for review and feedback.
• Generate actionable insights through holistic and detailed analysis of such as Star Rating and NPS, calls and returns, to drive improvements and customer satisfaction.
• Utilizes advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
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Identify and rectify data integrity issues and liaise with members and respective data sources/owners.
Verify and investigate credit rating and score enquiry against the credit information, and provide useful advice to the enquirer for external and internal stakeholders.
Work closely with project and software team to improve end-to-end process.
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Utilizes advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues by following company policies and procedures.
Evaluate results from A/B tests or quasi-experiments to measure impact of product changes (e.g. new matching algorithms, UI tweaks).
Translate business questions into data queries and deliver clear, actionable recommendations to product, operations, and leadership teams.
Design, build, and maintain scalable ETL/ELT pipelines to collect, clean, and transform data from our web portal, mobile app, APIs, and other sources into a reliable data warehouse.
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Extract, clean, and analyze large datasets from various sources to generate insights for the relevant departments
Support business growth plans through close monitoring and analysis of marketing performance, sales conversion and ad-hoc projects based on business needs
Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, Finance, or a related field
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Isolate root causes using data triangulation across multiple data sources and applying statistical methods to enrich customer insights
Design, build and enhance visual analytics assets to ensure continued relevance and usage of the dashboards by business users for making informed decisions
Provide mentorship and guidance to other data analysts on analytical approaches and problem structuring
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Operate robust SLAs for timeliness, completeness, and data quality; drive near‑real‑time updates where applicable.
Ability to use ML/NLP/LLM techniques with a human-in-the-loop approach to delivery high accurate, timely securities data to downstream teams
Make sound, subjective decisions when interpreting legal and financial information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions.
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