Data Analyst and Delivery Professional

1 month ago

Singapur, Singapore DBS Bank Full time
About this Role

The DBS Transformation Group is seeking a highly skilled Data Analyst and Delivery Professional to join our team. As a key member of our team, you will be responsible for driving data-driven initiatives and working closely with operation stakeholders, user, data engineering, and technology teams.

Key Responsibilities
  • Support the delivery of analytics initiatives to address business problems, including gathering user requirements, performing analysis, determining data required, exploration, design, and development of data products end-to-end.
  • Manage DDOM control tower and Datamart project, involving full analytics project life cycle, including conceptualization, visualization, implementation, and operationalization.
  • Perform data profiling and analysis, translate unstructured data into structured information, analyze and perform performance tuning for big data jobs and queries.
  • Conduct deep dive analysis, identify insights and implications from operations data, and make strategic recommendations with data displays and storytelling.
  • Identify, analyze, and interpret trends or patterns in complex data sets, and solve business problems by translating into a data model and building insights into an actionable outcome.
  • Deploy data pipeline jobs into production environment and support BAU.
  • Engage with the broader analytics community outside the unit and be in line with the overall strategy/direction undertaken by the bank/section.
  • Work with cross-functional teams and execute well in a fast-paced and agile environment.
Requirements
  • Bachelor's Degree in Data Science, Analytics, Statistics, Mathematics, Engineering, Information Technology, or related disciplines.
  • Minimum 3 years of relevant work experience, preferably in big data analyst role; relevant experience in banking or financial industry is an advantage.
  • Experience in data processing/manipulation involves large datasets, and be able to transform structured and unstructured data sources for analysis.
  • Strong technical skills in data wrangling, analysis, transformation, and query optimization using Python, Pandas, Pyspark, and SQL; experienced in relational databases such as MariaDB, MySQL.
  • Familiarize with CICD deployment tools like Jenkins, Airflow, Jira, Confluence; optional to have visualization tool experience on QlikView, Tableau.
  • Good knowledge/experience in big data stack for Hadoop ecosystem (Hive, HDFS, Impala, etc.).
  • Possess technical mindset, great attention to detail, independent, and a 'can-do' attitude.
  • Highly self-driven and operate under 'Agile' methodology; proven ability to roll up your sleeves and contribute quickly.
  • Ability to work under tight deadline and handle multiple projects; must exhibit full sense of ownership of the platform worked on.
  • Be data sensitive with storytelling skills and good problem-solving skills.
  • Able to pick up new methods/techniques quickly and apply towards solving a problem at hand.
  • Good interpersonal and communication skills.
  • A team player with good time management, organizational, and prioritization skills.

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