About the role

Manager/ Sr. Manager – Data Analytics & Automation

Function head: GM Business Unit HO

Base Location: HO Noida

Reporting Manager: Business Head

Years of Experience: 5-8 Years

Company Overview

KRBL Limited (NSE: KRBL, BSE: 530813) is the world’s largest rice millers and Basmati rice exporters. The Company is a branded Basmati rice company, with manufacturing capacities of 195 MT/per hour.

With 5 rice processing plants in Delhi, Punjab, Haryana, Uttar Pradesh, Gujarat, and modern packaging and warehousing facilities in Alipur and Barota, KRBL holds a ~25% market share in the branded Basmati exports from India and a ~35% share in the branded Basmati sale in the domestic market.

The company’s flagship brand “India Gate” Basmati Rice is the largest selling basmati brand in India and across the world. KRBL has been conferred the prestigious APEDA Export Award from the Indian Government for being the largest Basmati exporter from India consecutively for fifteen years.

KRBL's focus on R&D has made it the largest Basmati seed distribution company owing its superior seed multiplication and research in the field. Note that two of India's most popular Basmati varieties- Pusa Basmati and 1121 Basmati have been initiated and commercialized by KRBL along with advocating its interest amongst all stakeholders.

KRBL also adds value by 100% integration of rice by-products by producing rice bran oil, power generation from rice husk, and animal feed. The company has been growing at an exponential pace and registered. India Gate is the number #1 basmati brand in the Middle East and around the world. We work via distributor arrangements around the world.

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 organization’s 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:

Execution of Data Strategy:
- Co-create the organization’s data analytics and automation roadmap & assist in the implementation of the same.
- 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 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.
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 (Sales Ops, SCM, Finance & 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 & a data-centric decision-making culture.
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.
Strong blend of technical fluency & 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.

Team Structure: Individual Contributor

Travel Requirements: As per company’s requirement