Qureos Mentor

Recruber

<div>Location: Bangalore / Mumbai/ Dehradun
Experience Required: 710 Years
Industry: Analytics | FMCG | Consulting | Digital Transformation | Technology Solutions 
 
About the Role:
We are looking for a strategic and data-driven leader to join our Analytics division as an Associate Vice President Analytics. The ideal candidate will bring deep expertise in program management, data visualization, and business analytics, with a proven ability to conceptualize, deliver, and scale analytics products across regions.
You will collaborate closely with senior business stakeholders, innovation teams, and functional leaders to define the analytics roadmap, deliver high-impact insights, and drive digital transformation across multiple domains. 
 
Key Responsibilities:
<ul><li>Partner with business and functional leaders to define the strategic analytics roadmap and identify key opportunities for business growth.</li>
<li>Conceptualize, develop, and scale data-driven analytics products to enhance decision-making and operational efficiency.</li>
<li>Lead cross-functional analytics initiatives across geographies, ensuring best-in-class ROI and measurable business outcomes.</li>
<li>Drive revenue optimization initiatives using financial and sales analytics; identify opportunities for incremental revenue and cost optimization.</li>
<li>Build and manage data models, dashboards, and reports using Power BI and Microsoft Excel to provide actionable insights for leadership teams.</li>
<li>Collaborate with innovation and R&amp;D functions to leverage AI/ML, data automation, and visualization tools for product innovation.</li>
<li>Own and manage data governance and reporting automation frameworks across multi-market operations.</li>
<li>Mentor and guide analytics teams to strengthen data storytelling, visualization quality, and stakeholder engagement.</li> 
</ul> 
Key Skills &amp; Technologies:
<ul><li>Analytics &amp; Visualization: Power BI, Excel, Data Modelling, DAX, Power Query</li>
<li>Data Management: ETL/ELT Processes, Cloud Platforms (Azure, GCP)</li>
<li>Business Analytics: Sales Analytics, Financial Analytics, Revenue Optimization</li>
<li>Leadership &amp; Strategy: Program Management, Product Strategy, Stakeholder Management</li>
<li>Tools &amp; Certifications: Microsoft Certified Data Analyst, Google Cloud Digital Leader, Power Platform Fundamentals, Azure Data Fundamentals</li> 
</ul> 
Qualifications:
<ul><li>MBA
</li><li>B.Tech 
</li></ul> 
Preferred Candidate Profile:
<ul><li>7+ years of experience in Analytics, Business Strategy, or Data-driven Product Development.</li>
<li>Strong track record of delivering measurable ROI through analytics initiatives in FMCG, consulting, or tech-led environments.</li>
<li>Proven ability to lead global teams, manage complex datasets, and communicate insights effectively to senior leadership.</li>
<li>Adept at bridging business and technology through strategic problem-solving and digital-first thinking.</li> 
</ul> 
Why Join Us:
<ul><li>Work on high-impact analytics products that influence strategic business decisions.</li>
<li>Collaborate with global teams and senior stakeholders across industries.</li>
<li>Opportunity to lead digital transformation initiatives and shape data strategy at scale.</li></ul></div>

Job Title: AVP – Analytics / Analytics Leader / Head of Business Analytics

<div>Are you passionate about building next-generation AI systems that leverage Large Language Models (LLMs) to automate complex tasks and enable intelligent decision-making? Join LevelShift as a Data Scientist and design end-to-end solutions across intelligent pipelines, agentic workflows, and AI-native system modernization. 
 
What Youll Do 
 
As a Data Scientist at LevelShift, you will: 
 
<ul><li>Design &amp; Build AI Pipelines: Develop intelligent, end-to-end data pipelines using LLMs for document generation, summarization, reasoning, and automation.</li>
<li>Agentic Systems: Architect and implement autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to achieve multi-step objectives.</li>
<li>LLM Engineering: Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and advanced decision-making.</li>
<li>System Modernization: Analyze rule-based engines, stored procedures, and monolithic applications, and re-engineer them into modular, AI-native components that handle structured and unstructured data.</li>
<li>Model Optimization: Fine-tune foundation models or adapt them with LoRA, transfer learning, or domain-specific techniques for performance improvements.</li>
<li>Cloud &amp; Deployment: Orchestrate scalable AI services and workflows in cloud environments.</li> 
</ul> 
Your Skillset 
 
Were looking for an experienced AI/ML professional with strong expertise in LLM-powered systems. 
 
Technical Skills: 
 
<ul><li>5+ years in AI/ML solution design and development, with hands-on LLM integration.</li>
<li>Python Advanced proficiency for AI/ML development and orchestration.</li>
<li>LLM Development Prompt engineering, chaining logic, context window management, API integration.</li>
<li>Agent Frameworks Memory, planning, coordination, and decision-making in multi-agent systems.</li>
<li>RAG Vector databases, embeddings, and retrieval-augmented knowledge systems.</li>
<li>Cloud Deployment and management of AI services, preferably on Microsoft Azure.</li> 
</ul> 
Good to Have
<ul><li>Experience with PCF or React for building intelligent front-end components.</li>
<li>Contributions to open-source AI frameworks or research.</li> 
</ul> 
Certifications Preferred
<ul><li>Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.</li> 
</ul> 
Why LevelShift?
<ul><li>Work on cutting-edge LLM-based AI projects with global impact.</li>
<li>Collaborate with experts in AI, ML, and cloud technologies.</li>
<li>Grow your career in an innovation-driven, learning-focused environment.</li> 
</ul> 
If youre ready to design and deliver intelligent AI/ML solutions, apply now at joinus@levelshift.com and take the next step in your Data Science career!</div>

Data Scientist

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Job Title: AVP – Analytics / Analytics Leader / Head of Business Analytics

Data Scientist