Data Analyst

InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years’ experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner.

We have below requirement for Singapore Location, interested candidate can apply on this job.

Job Title: Data Analyst

Work Location: Singapore

Type of Employment: Full Time

Purpose of the Position:

• Create and maintain compelling dashboards and visualizations using tools such as Tableau, Qlik, PowerBI, and Python, ensuring stakeholders can access actionable insights.
• Effectively use data storytelling techniques to present findings and support decision-making processes
• Analyse complex datasets to identify trends, patterns, and key performance indicators for Marcom campaigns.
• Translate business challenges into analytical questions and develop solutions that address organizational needs.
• Work closely with stakeholders to understand business objectives and requirements.
• Collaboratively develop analytical solutions to address data-driven challenges and improve decision-making.
• Collaborate with the Data Scientists and Data Engineers on the team to deliver advanced analytics models and maintain high-quality dashboards.
• Provide analytical support to ensure alignment between business goals and analytics solutions.

Work and Technical Experience:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Proficiency in statistics, data visualization, and data storytelling.
• Experience with tools for creating dashboards and visualizations, such as Tableau, Qlik, PowerBI, and Python.
• Proficiency in programming languages commonly used in data wrangling and analysis, such as SQL and Spark.
• Experience or domain knowledge in marketing and advertising analytics.
• Familiarity with AWS and cloud-based analytics platforms.
• Experience working with commercial integrated data infrastructure and processing solutions, with a preference for Databricks.
• Ability to work effectively in cross-disciplinary agile teams.
• Strong collaboration skills to work effectively with stakeholders and translate business challenges into datadriven questions.