1. Execution of Data Strategy:

- Co-create the organization's data analytics and automation roadmap and assist in the implementation of the same.

- Identifying and delivering key data initiatives aligned with business objectives.

2. Data Analytics and Reporting:

- Manage the design and development of dashboards, data models, and performance reports.

- Conduct deep-dive analysis using structured and unstructured data to support decision-making in the overall business strategy.

- Define and track business KPIs, translating data into key business insights.

3. Automation Projects:

- Identify opportunities for end-to-end automation in data collection, reporting, and routine analytics tasks.

- Work with business and tech teams to implement automation platforms, tools and workflows.

- Drive adoption of analytics automation platforms and ensure proper documentation of use cases.

4. Data Quality and Governance:

- Ensure accuracy and integrity of data used across business reports and analytics tools.

- Support the establishment of data standards and contribute to data governance initiatives.

- Collaborate with IT teams to uphold data security and compliance practices.

5. Cross-functional Collaboration:

- Act as a bridge between business stakeholders (Sales Ops, SCM, Finance and IT) and technical teams.

- Translate business requirements into technical specifications for data and automation projects.

- Conduct Training sessions to drive adoption of the analytics tools and a data-centric decision-making culture.

6. Continuous Learning and Innovation:

- Stay abreast of trends in analytics, business intelligence tools, and automation platforms.

- Recommend and help evaluate new tools and methodologies for analytics and automation.

- Promote a data-first culture across departments by enabling self-service BI solutions.

Skills and Qualifications:

- Bachelor's or master's degree in a related field such as Data Science, Business Analytics, Computer Science, or a relevant quantitative discipline.

- 4+ years of relevant experience in data analytics, featuring a history of driving successful data projects from conceptualization to implementation.

- Profound proficiency in data analytics tools and languages (e.g., SQL, Python, R) alongside data visualization tools (e.g., Tableau, Power BI).

- Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch) and predictive modeling techniques.

- Strong blend of technical fluency and commercial acumen. Exceptional problem-solving abilities coupled with a strategic mindset to align data initiatives with business goals.

- Strong communication skills - both written and verbal - with a knack for simplifying technical concepts for non-technical stakeholders.

- Experience within the FMCG industry or international markets is a plus.

- Experience with Start-up will be an added advantage.