RESPONSIBILITIES:

• Data Visualization & Reporting: Create compelling and easy-to-understand dashboards, reports, and visualizations using BI tools like Tableau or Power BI to effectively communicate insights to stakeholders.
• Data Modelling: Design and build scalable and reliable data models. Collaborate with the Data Engineering team to meet data requirements and ensure optimal model performance. Leverage best practices to deliver self-service solutions while maintaining flexibility for future enhancements.
• Collaboration & Stakeholder Engagement: Work closely with internal and external stakeholders to understand their needs, gather data requirements, and provide actionable insights that address business challenges. Collaborate with Data Engineering, Architecture, GIS, and Product teams to ensure analytics efforts align with the organization’s broader data strategies.
• Data Analysis & Insights: Analyse large and complex datasets to uncover trends, patterns, and insights that inform business strategies and operations.
• Ensure data quality by proactively identifying, analysing, and addressing inconsistencies, anomalies, or inaccuracies within datasets. Collaborate with Data Engineering and business teams to investigate root causes.
• Continuous Learning & Improvement: Stay updated on the latest tools, techniques, and trends in data analysis. Apply innovative methods to enhance the effectiveness and efficiency of analytics initiatives.
• Communication: Effectively present analytical findings to diverse audiences through presentations, workshops, and training sessions. Support teams in building data literacy and understanding analytics tools and insights. Regularly deliver presentations to non-technical audiences, both within and outside the organisation.

QUALIFICATIONS:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Ability to work independently, take ownership of projects, and ensure timely delivery.
• 2+ years of experience in data analysis or a related role.
• Proficiency in tools such as SQL, Python, R, and BI platforms (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills, with an ability to work with complex datasets.
• Excellent communication and presentation skills, with the ability to translate technical insights for non-technical audiences.
• Familiarity with data governance principles and data privacy regulations.