Overview
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
Job Title: Data Analyst
Work Location
Work Location: Singapore
Type of Employment
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.