Data Analyst (Databricks)

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InfoCepts

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Job Summary


Salary
S$5,000 - S$5,500 / Monthly

Job Type
-

Seniority

Years of Experience
At least 2 years

Tech Stacks
Python SQL Azure Databricks Pandas pySpark Analytics Data Extraction AWS ETL

Job Description

Position: Data Analyst
Location: Singapore
Type of Employment: Full-Time
Compensation: -

Purpose of the Position: The Data Analyst will be responsible for transforming data into actionable insights to support business decision-making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data-driven strategies across the organisation.

Key Result Areas and Activities:

  • Extract, clean, and transform data from multiple sources using SQL and Databricks to support analytics and reporting needs.
  • Develop and maintain scalable data models and datasets for business intelligence and dashboarding.
  • Build interactive dashboards and reports using Tableau and/or Power BI to visualize key metrics, trends, and insights.
  • Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.
  • Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.
  • Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.
  • Automate recurring reporting processes and improve efficiency of data workflows.
  • Provide actionable insights and recommendations to support operational and strategic decision-making.
  • Document data definitions, business rules, and reporting logic for governance and knowledge sharing.

Essential Skills:

  • Strong proficiency in SQL for data querying, transformation, and analysis
  • Experience working with Databricks or similar data platforms
  • Hands-on experience with Tableau and/or Power BI for dashboard development
  • Strong analytical and problem-solving skills
  • Experience in data cleaning, validation, and data modelling
  • Ability to work with large datasets and derive meaningful insights

Desirable Skills :

  • Experience with Python (Pandas, PySpark) for data analysis
  • Familiarity with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of ETL/ELT processes and data pipeline concepts
  • Experience working in government or regulated environments
  • Understanding of data governance and data quality frameworks

Qualities:

  • Strong attention to detail and data accuracy
  • Good communication skills to translate data insights into business terms
  • Proactive and solution-oriented mindset
  • Ability to manage multiple stakeholders and priorities
  • Collaborative team player with strong ownership of deliverables

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