BI Engineering Specialist

Skill required: Data Management - Structured Query Language (SQL)


Designation: BI Engineering Specialist


Qualifications:BE/MTech/MCA


Years of Experience:7 to 11 years


What would you do Intelligent Operations centers. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. .
Data Management involves the process of collecting, storing, organizing, and maintaining data. It ensures that data is accurate, accessible, and secure. The goal is to support decision-making, improve efficiency, and comply with regulations by effectively handling data throughout its lifecycle. Primary skillsets often include Data Engineering with AWS.
Domain-specific language used in programming and designed for querying and modifying data and managing databases.


What are we looking for

Minimum 2-8 years of work experience in Data Analytics / AI modelling, senior stakeholder management and project management in a large-scale organization

Experience in managing Data and AI with strong skills in Power BI/SQL/Python/LLMs/Agentic/AIOps/LLMOps

Strong analytical focus to leverage information to support the decision-making process within the business

Strong commercial awareness and strong understanding of BAT strategy and business model

Strong interpersonal skills with the ability to communicate with senior and other levels of staff in all departments and companies both within the Group and externally

Ability to present data in a structured framework that goes beyond numbers into actionable insights

Understand business objectives and design analytics models to discover prospective consumer preferences

Hands-on experience in Interpreting data, formulating reports, and making recommendations

Embed new initiatives and technologies in day-to-day activities

Ability to drive clarities getting buy-ins from stakeholders

Strong communicator

Analytical focused

Leadership capabilities with a drive for results clarities

Builds partnership with stakeholders

Agile when dealing with ambiguity

Manages pressure well

Has credibility with AI and Data

Technologically advanced


Roles and Responsibilities:

Provide the company with continuous, objective, relevant information, analysis, and advice to bring about end-to-end FA analytics

Drive actionable insights make business recommendations through analysis of various digital and offline channels campaign initiatives while overlaying past learning, consumer insights competitor analysis/tracking

Participate in different reporting, dashboarding, analytics, AI modelling activities

Seek clarity in business objectives of activation campaigns Identifies business questions to shape analytics framework. Be involved in setting the campaigns to make sure that the consumer insights are overlayed in the initiatives and that the KPIs overlay with the business hypothesis

Drive enhancements of current data constantly explore new data sources/analytics tools

Investigate data available in databases, either internally or externally and find ways to expand current database

Streamline day-to-day operations processes Initiate automation projects as and when appropriate

Proficient in Power Automate, Power BI, SQL, Python, AI/LLMs, Devops

Please note that this role may require you to work in rotational shifts


Qualification BE,MTech,MCA