DBS Bank Limited
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Job Description

AVP/ Senior Associate, Senior Data Analyst, Analytics Centre of Excellence, DBS Transformation Group (WD15329)

Business Function

Here at the DBS Transformation Group, we focus on nurturing the culture of the “World’s Best Digital Bank” (Euromoney, 2016 & 2018) and Best Bank in the World (Euromoney 2019). Our approach is a combination of both science and art; we immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our pipeline, and build connections between corporate entrepreneurs and start-ups. We are a cross-disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to making banking joyful (while having lots of fun)!

Job Description


The data analyst will provide big data analytics support to the Analytics Centre of Excellence. He will partner with the business and project leader to discover, analyse, process and visualize the data to develop analytic solutions and support data science needs.

Responsibilities

    Identify, profile, analyse and present the data discovery output for analytics projects Develop data ingestion pipeline and create the data assets for analytics projects Work with data engineer to enhance the analytic data infrastructure and develop data marts and feature marts Perform data wrangling and feature engineering to support machine learning Create helper functions to automate frequently encountered wrangling and feature engineering tasks Execute queries on databases and resolve intricate questions in order to respond to the needs of stakeholders. Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies Write codes that are production-ready and reusable Develop dashboards and other analytic capabilities to enable stakeholders make the right decisions at the right time Perform regular audits and improvements to data systems to ensure complete and accurate reporting. Improve the adoption of self-service analytical tools by acting as a subject matter expert (SME) and deliver training to global teams. Bring together data, analytic engines, and data visualizations in one seamless computational process.

Requirements

    Bachelors/Masters in Computer Science, Statistics, Mathematics and other highly quantitative fields such as bio-informatics. At least 7 years of industry experience in data analytics working in a big data environment. At least 3 years working experience in banking industry with business domain knowledge in retail banking. Highly proficient and extensive experience with data wrangling, transformation, data analysis, data validation and feature engineering using programming language such as Spark and Python. Excellent knowledge of SQL. Extensive experience and clear understanding of distributed compute frameworks like Apache Spark and Hadoop. Proficient in using other big data technology, i.e., Cloudera Data Science Workbench, Airflow, Presto, Superset, Alluxio, S3, Confluence, JIRA and Bitbucket. Expertise in visualization using QlikView, Tableau and Superset; with certifications. Experience in publishing and managing content, jobs, and permissions on visualization servers In-depth knowledge of visualization infrastructure set-up (servers, hardware sizing, licensing, etc.) to ensure availability, performance & security Proven ability to balance competing priorities, workloads, and tight timelines in a fast-paced, dynamic work environment Ability to communicate technical information to both technical and non-technical stakeholders


Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

https://www.efinancialcareers.sg/jobs-Singapore-Singapore-AVP_Senior_Associate_Senior_Data_Analyst_Analytics_Centre_of_Excellence_DBS_Transformation_Group_WD15329.id08457954

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DBS Bank Limited

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