- Building dashboards using techniques for advanced analytics, interactive dashboard design, and visual best practices to convey the story within the data

- Absorbing and managing complex analytical requests.

- Building solution-driven views and dashboards in Tableau or another BI Suite.

- Develop and maintain databases and build scripts that will make the data evaluation process more flexible or scalable across data sets.

- Analyze data and translate it into actionable conclusions.

- Prioritise and manage multiple tasks simultaneously.

- Conduct excellent research, work independently, and pay attention to detail.

- Identify trends and opportunities for growth through analysis of complex data sets.

- Define and assess business needs in the context of the desired operational and strategic business outcomes, and internal/external constraints.

- Conduct impact analysis to determine the impact of stakeholder requirements on business architecture, systems, and technology.

- Assist business unit representatives in developing project concepts, project proposals, and supporting business cases.

- Develop use cases, requirements specifications, proposals, feasibility statements, gap analysis documents, briefs, plans, and other deliverables of the business analysis discipline.

- Establish and maintain working relationships with peer groups and key internal stakeholders.

Requirements :

- Should have at least 3+years of experience.

- Bachelor's degree in Mathematics, Computer Science, Economics, or Statistics.

- Proven analytic skills, including mining, evaluation, analysis, and visualisation.

- Technical writing experience in relevant areas, including queries, reports, and presentations.

- Strong SQL, NOSQL, Excel, and Tableau skills with the ability to learn other analytic tools.

- Experience in data management and analysis using quantitative and qualitative methods for different types of research and evaluations.

- Experience analysing data from 3rd party providers Google Analytics, etc.

- Good communication skills, both verbal and written.

- Demonstrated experience in business modelling, requirements elicitation, data modelling, and system analysis in the data science domain.