I am Ella (Yifan) Yang, a results-driven Data Analyst with a strong finance background and two years’ experience in the Financial Services industry. I specialize in Python, SQL, and Scala, and I am adept at data processing, data modelling, and financial business analysis. I work proficiently in Agile environments, with strong problem-solving abilities, analytical skills, and effective communication. I can work independently while maintaining keen attention to detail, and I enjoy driving data solutions that inform strategic decisions and streamline business processes for stakeholders.

Ella (Yifan) Yang

I am Ella (Yifan) Yang, a results-driven Data Analyst with a strong finance background and two years’ experience in the Financial Services industry. I specialize in Python, SQL, and Scala, and I am adept at data processing, data modelling, and financial business analysis. I work proficiently in Agile environments, with strong problem-solving abilities, analytical skills, and effective communication. I can work independently while maintaining keen attention to detail, and I enjoy driving data solutions that inform strategic decisions and streamline business processes for stakeholders.

Available to hire

I am Ella (Yifan) Yang, a results-driven Data Analyst with a strong finance background and two years’ experience in the Financial Services industry. I specialize in Python, SQL, and Scala, and I am adept at data processing, data modelling, and financial business analysis.

I work proficiently in Agile environments, with strong problem-solving abilities, analytical skills, and effective communication. I can work independently while maintaining keen attention to detail, and I enjoy driving data solutions that inform strategic decisions and streamline business processes for stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Data Analyst at MUFG Pension & Market Services
October 1, 2025 - October 1, 2025
Developed and executed ad-hoc SQL queries to detect fraudulent activities in superannuation funds, collaborating with Suspicious Matters Reporting on threat hunting and transaction monitoring. Implemented stop-payment controls to block suspicious transactions, protecting assets of 100,000+ members during major Australian Super cybersecurity incidents. Automated Excel Power Query workflows, reducing multi-fund data processing time by 80%. Delivered daily Anti-Money Laundering de-risk decisions by building rule-based member extracts from Empirics, ensuring compliance with internal and regulatory standards. Designed Power BI dashboards mapping members' geographies to support risk assessment for Senior Business Analyst.
Associate Data Engineer at Quantexa
April 1, 2025 - April 1, 2025
Built end-to-end ETL data pipeline in Azure Databricks and AWS EMR, extracting data from ICIJ, BvD, and transactional logs in Azure Blob Storage, transforming via cleansing, standardisation, deduplication, and entity resolution, and loading into Elasticsearch via REST API to enhance fraud detection. Designed and tested investigation UI features (Explorer, Viewer, Search, Timeline, Graph Analysis) using AWS clusters. Detected 11,000 fraudulent activities for Prudential Singapore using Databricks MLflow to improve detection. Reduced fraud investigation time by 5% for Commonwealth Bank of Australia by optimizing Spark jobs in Databricks.
Data and Reporting Analyst at University of Sydney
March 1, 2023 - March 1, 2023
Retrieved and analysed university-wide staff and payroll data in Oracle SQL by querying Workday and Ascender Pay. Summarised metrics with Excel (VLOOKUP, Pivot Tables) and presented findings in PowerPoint to senior management. Built interactive Power BI dashboards to visualise recruitment and employment lifecycle trends, integrating real-time data from SQL queries. Delivered actionable insights enabling data-driven staffing decisions across faculties, maintaining 95%+ SLA compliance; partnered with three data analysts to achieve key deliverables.
Financial Analyst and CEO Assistant at Wippli
May 1, 2022 - May 1, 2022
Supported fundraising by compiling a database of global venture capital funds for targeted investor outreach. Automated investor data collection by crawling data with Python, reducing manual effort by 30%; sourced data from 300 global venture capital funds using Pitchbook, Crunchbase, and CVS. Forecasted market share growth for the design industry using Excel Solver, providing the CEO with a five-year strategic roadmap.
Consultant at Markamind
May 1, 2022 - May 1, 2022
Identified key revenue trends by visualising inter-company transactions with Python, enabling cost optimisation. Provided recommendations on economic recovery strategies based on ASX 200 index analysis, supporting clients post-pandemic. Led cross-functional team presentations, bridging concept gaps between non-technical clients and teammates to ensure alignment on project design and key objectives.
Investment Analyst at Viva Ventures Biotech POC Fund
October 1, 2021 - October 1, 2021
Orchestrated client-centered financial reports by analysing global pharmaceutical stock performance. Identified high-growth potential companies by conducting thorough assessments of operational and financial metrics, supporting $2M+ in investment decisions. Enhanced reporting accuracy by incorporating real-time market trends into financial analyses, improving the relevance of investment recommendations to CFO.

Education

Master of Commerce at University of Sydney
March 1, 2021 - July 1, 2022
Bachelor of Commerce, Finance and Economics at University of Melbourne
February 1, 2018 - December 1, 2020

Qualifications

Oracle Certified Professional MySQL 8.0 Database Developer
January 11, 2030 - November 7, 2025
Certificate IV in Finance and Mortgage Broking
January 11, 2030 - November 7, 2025
AWS Educate Introduction to Generative AI
January 11, 2030 - November 7, 2025

Industry Experience

Financial Services, Education, Professional Services, Software & Internet