Senior Data Analyst

Octoplus Marketing Group

Software & Data

About the Role:

We are seeking a highly experienced and strategic Senior Data Analyst to join our team. In this role, you will be responsible for owning the end-to-end data analysis process, sourcing, transforming, analysing, and interpreting data to support strategic decision-making and improve business performance.

Key Responsibilities:

• Partner with business stakeholders to understand goals and define success metrics aligned with business objectives.

• Translate business problems into data questions; design robust analytical approaches to solve them.

• Develop predictive models and statistical analyses to forecast trends and identify opportunities.

• Proactively surface insights that inform strategic priorities, customer segmentation, channel effectiveness, and operational efficiency.

• Extract, clean, and transform large datasets from multiple sources, including internal databases, CRMs, marketing platforms, and cloud data warehouses.

• Design and maintain advanced dashboards and self-service BI tools for various teams using Power BI, Tableau, or Looker.

• Implement and improve data governance, accuracy, and consistency across all analytics outputs.

Performance Monitoring & Experimentation

• Track and evaluate KPIs across departments (marketing, finance, operations, etc.).

• Design and conduct A/B testing and other statistical experiments to measure business impact and guide decision-making.

• Identify bottlenecks, anomalies, and opportunities for optimisation in real-time.

• Work cross-functionally with technical and non-technical stakeholders to translate insights into strategic recommendations.

• Provide mentorship and technical guidance to junior analysts and support upskilling across departments.

• Contribute to building a scalable data infrastructure and reporting framework that supports growth.
  

Required Qualifications & Skills:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Business Analytics, Economics, or a related field.

• 4+ years of proven experience in data analytics or business intelligence, preferably in a fast-paced, data-driven organisation.

• Advanced proficiency in SQL for data extraction and manipulation.

• Strong experience with data visualisation tools (Power BI, Tableau, Looker) and building interactive dashboards.

• Solid experience with Excel for reporting and analysis.

• Proficiency in at least one programming language for data analysis (e.g., Python or R).

• Experience with statistical modelling, forecasting, and machine learning is a strong advantage.

• Strong analytical mindset with attention to detail and a passion for problem-solving.

• Ability to communicate insights effectively to both technical and non-technical audiences.

• Excellent time management skills and the ability to work independently and lead complex projects.

• Experience with Python or R for data analysis.

• Familiarity with cloud platforms (e.g., Google Cloud, AWS).
  

Interested and Qualified candidates can apply by sending their applications to [email protected].

Application Deadline: 22nd June 2025

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