Onpoint

Overview of job

Reporting to the Head of Data Analytics, COE you will be responsible for:

• Lead a team of Data Analysts and develop strategy and processes to transform Onpoint into a data-driven organization
• Develop and maintain data models and business intelligence dashboards to enable business users to discover insights that will guide strategic decisions and discover optimization opportunities.
• Develop data governance processes in Onpoint, including planning, oversight, and control over use of data and data sources.
• Collaborate with Onpoint management team to promote a culture of data-driven problem-solving and innovation, and facilitates the adoption of new tools and technologies.
• Collaborate with stakeholders in Onpoint to prioritize deliverables based on business values and goals.
• Implement quality assurance & control processes, and monitor accuracy in reports and Business Intelligence visualizations to enable stakeholders to monitor business performance in real-time.
• Develop self-service business intelligence (SSBI) that empowers business teams to answer data questions, with governance supported by IT and Data Analysts.
• Develop and adopt Agile delivery framework to deliver dashboards and data analytics solutions.
• Continuously improve processes and technology stack within Data Analytics CoE to eliminate frictions and impediments in delivering faster and better business outcomes.

Hone your creativity, invent and innovate, and set your own highest standards within a nurturing, equal opportunity environment. With our tremendous growth, we seek dynamic, entrepreneurial and broad-minded individuals to join us.

Qualifications for Data Analytics Manager

- Bachelor’s degree in information technology, Computer Science, Data Science, or related fields.
- Proven track record in delivering data analytics /data science solutions, with at least 2 years in a people management role.
- Excellent verbal and written communication skills. Able to collaborate and influence internal and external stakeholders.
- Excellent numerical, analytical, and problem-solving skills, with strong attention to detail.
- Possess a can-do attitude and able to demonstrate an ability to bring own and drive outcomes.
- Strong technical proficiency and demonstrated ability to learn new technology stacks, including.

• Data queries (e.g. SQL, NoSQL, BigQuery or Apache Hive) 
• Business Intelligence and visualization (e.g. Power BI, Qlik Sense, Tableau)
•  Data Science & Analytics (e.g. Python, R, Apache Spark)

- Experience in eCommerce is an added advantage.