Assistant Manager - Data Analytics & Automation - FMCG

Job Description Overview:

- The Manager Data Analytics & Automation will play a key role in enabling data-driven decision-making and driving operational efficiency through analytics and automation initiatives across different functions.

- This is a hands-on, execution-oriented role that bridges business and technology, supporting the Head of Data Analytics & Automation in translating strategic goals into practical data solutions.

- This role will be responsible for managing the day-to-day execution of data projects, developing dashboards and insights, identifying areas for automation, and collaborating with internal stakeholders to solve complex business challenges through the effective use of data.

- The role demands strong analytical acumen, a deep understanding of data tools and platforms, and a proactive mindset to continually enhance the organizations analytics maturity.

- In addition to managing and delivering analytics outputs, the role will also support data governance initiatives, promote a culture of data literacy, and implement scalable data practices to ensure long-term sustainability.

- This role offers the opportunity to work across departments, influence decisions at various levels, and contribute directly to business transformation through the smart use of data and technology.

Key Responsibilities:

1. Execution of Data Strategy:

- Assist in the implementation of the organizations data analytics and automation roadmap.

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

Data Analytics & 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.

Automation Projects:

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

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

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

Data Quality & 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.

Cross-functional Collaboration:

- Act as a bridge between business stakeholders and technical teams.

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

- Present analytical findings and recommendations in a clear, actionable manner.

Continuous Learning & 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 & 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.

- Exceptional problem-solving abilities coupled with a strategic mindset to align data initiatives with business goals.

- Strong communication skillsboth written and verbalwith 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