Job Description

Job Title: Data Consultant

Annual CTC: 15LPA

About Gramener

Gramener is an award-winning, design-leddata science company. Gramener helps solve complex business problems withcompelling data stories using insights and a low-code AI-powered platform forclients across multiple industries, including Pharmaceuticals & LifeSciences, Logistics & Manufacturing, ESG, and Technology & Consulting.Gramener’s AI-led platform leverages Computer Vision, NLP (Natural LanguageProgramming), NLG (Natural Language Generation), and Spatial Analytics.

Gramener is part of Straive, a leader inhelping organizations operationalize the data -> insights -> knowledge-> AI value chain.

Website: https://gramener.com

Summary

As a Data Consultant, you will be drivingstrategy, business planning, advanced analytics, and liaison with business leadsand cross functional teams to drive strategic growth initiatives, improvebusiness performance and

tracking market trends.

Responsibilities

·        Leadership: Lead client engagements for creating a data-based solutions andapplications.

·        Requirements Elicitation: Understand requirements, challenges, and opportunities by leveragingframeworks and conducting client interviews

·        Data Analysis & Insights: Translate data analysis into actionableinsights and recommendations to improve business processes, strategy, and decision-making.

·        Solution: Translate client needs into analytics anddata driven solutions and work with engineering and analytics teams to driveproject implementation.

·        Strategic Planning: Participate in the development and execution of the department's strategicplan, including setting clear objectives and goals.

·        Project Management: Oversee and manage key projects, ensuring they are completed on timeand within budget.

·        Stakeholder Communication: Foster effective communication with internal and external stakeholders,ensuring alignment and collaboration.

·        Continuous Improvement: Identify opportunities for process improvements and implement bestpractices to enhance efficiency and productivity

Qualifications

·        Master’s degree in Business Management from a premier institution

·        Strong understanding of project lifecycles, requirement frameworks andsolutioning skills

·        Advanced understanding of SQL, Excel and understanding of Pythonpreferred.

·        Excellent problem-solving and critical-thinking skills.

·        Strong communication skills with the ability to present complex datain a clear and concise manner.

·        Attention to detail and a commitment to data accuracy.

·        Team player with the ability to collaborate effectively withcolleagues at all levels of the organization.

·        Proficiency in MS office tools

·        Basic understanding of statistical concepts and techniques.

·        Eagerness to learn and adapt to new technologies and tools.

·        A passion for data-driven decision-making.