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Data Analyst Engineer - Leading Fintech Firm

Data Engineering and Analytics

6 August 2024

Kuala Lumpur, Malaysia

Our client, a leading FinTech Group, is building an international operation center in Malaysia to support their global cross-border payment, digital payment, and digital banking expansion. They are hiring a Data Analyst Engineer to build dashboards and generate insights for the Development Team Lead in the project planning process and HR for the recruitment process.

 

Responsibilities:

  • Mining, manipulating, and scrutinizing extensive datasets utilizing R and SQL to uncover trends, patterns, and opportunities for improvement within project and HR spheres.

  • Implementing statistical and machine learning methodologies in R to construct predictive models for resource allocation, talent acquisition, and business forecasting.

  • Investigating data irregularities, anomalies, and outliers to identify and address operational inefficiencies.

  • Crafting visually engaging dashboards and reports using tools like ggplot2, Shiny, Power BI, or similar, transforming complex analytics into clear, actionable insights for non-technical audiences.

  • Working in partnership with project leaders, recruitment teams, and executive management to translate intricate data narratives into practical strategies.

  • Refining data handling, storage, and analytical procedures enhances workflow productivity and efficiency.

 

Requirements:

  • Academic Qualifications: A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

  • Work Experience: 1-3 years of practical experience as a Data Analyst, ideally in a fast-paced, data-driven environment.

  • Be able to communicate in Chinese with Chinese-speaking stakeholders

 

Technical Skills:

  • Mastery of R for data wrangling, statistical evaluations, and visual representation.

  • Strong knowledge of SQL for database querying and administration.

  • Familiarity with big data ecosystems and platforms such as Hadoop or Spark.

  • Proficiency in data visualization methodologies and tools.

 

Preferred Skills:

  • Knowledge of AI and machine learning algorithms is a plus.

  • Understanding of data warehousing principles and ETL procedures.

 

Candidates with strong ETL and SQL will be considered for other roles as well.

 

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Ben Goh at resume.my@pinpointasia.com and put Data Analyst Engineer - Leading Fintech Firm in the subject header.

 

Data provided is for recruitment purposes only.

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