Data Analyst (Databricks)

InfoCepts; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading data and analytics firm in Singapore is seeking an aspiring data analyst to enhance their analytics capabilities. The role involves extracting, preparing datasets, and performing data analysis while ensuring accuracy and usability. Candidates should possess a Bachelor’s degree in a related field, strong SQL and Python skills, and familiarity with cloud-based platforms like Databricks. The salary range is SGD4500-5300, offering a dynamic environment focused on data-driven decision-making.

Qualifications

• Bachelor’s degree in a related field or equivalent work experience.
• Experience with SQL for data extraction and analysis.
• Hands-on experience with cloud-based data platforms.

Responsibilities

• Access, extract, and prepare datasets for analysis.
• Clean and validate data using SQL and Python.
• Perform exploratory data analysis to identify trends.
• Design and maintain interactive dashboards using BI tools.

Skills

SQL

Data visualization tools

Communication skills

Python

Problem-solving mindset

Hands-on experience with Databricks

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Databricks

Tableau

Power BI

Job description

About InfoCepts

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring data analyst to join us.

Salary Range: SGD4500-5300

Roles and Responsibilities

• Access, extract, and prepare datasets from Databricks Lakehouse for analytical use.
• Clean, validate, and transform data using SQL and Python to ensure accuracy, consistency, and usability.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Apply business rules and logic to derive analytical datasets and metrics.
• Write optimized SQL queries and Python scripts to aggregate, join, and analyze large datasets.
• Perform data quality checks, reconciliations, and sanity validations on reports and dashboards.
• Investigate data discrepancies and work with data engineers to resolve upstream issues.
• Design, develop, and maintain interactive dashboards and analytical reports using BI tools connected to Databricks (e.g., Tableau, Power BI).
• Create standardized KPI reports to support operational, management, and strategic decision-making.
• Ensure dashboards align with agreed business definitions and reporting standards.
• Translate analytical findings into clear, actionable insights for business stakeholders.
• Communicate insights through visual storytelling, presentations, and written summaries.
• Support stakeholders with ad-hoc analysis, deep dives, and data interpretation.
• Work closely with business users, product owners, and data engineers to understand reporting requirements.
• Provide feedback to data engineering teams on data usability and analytical readiness.
• Participate in Agile ceremonies such as stand-ups, sprint planning, and review sessions.
• Contribute to data governance practices by following documentation, versioning, and validation standards.

Skills Required

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• Strong soft skills, including effective communication and the ability to manage and engage with users across different levels.
• Experience with SQL for data extraction, transformation, and analysis.
• Hands-on experience with Databricks or similar cloud-based data platforms.
• Ability to translate complex datasets into meaningful business insights.
• A problem-solving mindset with attention to detail.
• Experience in data visualization tools
• Exposure to cloud-based data ecosystems
• Familiarity with Python or other scripting languages for data manipulation.