Analytics - Data Analyst

Associate - Data & AI Practice

Level: Associate

Experience: 3 - 6 Years

Tool Stack: SQL · RDBMS knowledge · Tableau ·

Work Mode: Hands-On | Independent

ROLE OVERVIEW

We are looking for a driven Associate with strong hands-on experience in SQL, RDBMS knowledge and Tableau, Good to have any exposure on the practical implementation of AI technologies (any Process improvement / Automation implementations). The candidate must be self-sufficient and capable of engaging directly with business stakeholders with minimal supervision.

KEY RESPONSIBILITIES

• Write advanced SQL queries, data pipeline architecture, RDBMS concepts.
• Build and maintain Tableau dashboards and reports for business stakeholders
• Develop and optimize data models within Snowflake - tables, views, streams, tasks
• Identify data quality issues, edge cases, and process gaps; document and escalate proactively
• Engage independently with stakeholders to gather requirements, present findings, and drive outcomes
• Contribute to AI solutions and Automations using related frameworks.

REQUIRED SKILLS

• SQL - Advanced; complex queries, performance tuning (mandatory), data modelling.
• Tableau - Hands-on dashboard development, calculated fields, data blending (mandatory)
• Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
• Ability to work independently with cross-functional stakeholders

NON-NEGOTIABLE

• Hands-on technical experience is mandatory - conceptual or tool-consumption-only profiles will not be considered

Senior Associate - Data & AI Practice

Level: Senior Associate

Experience: 6 - 9 Years

Tool Stack: SQL · RDBMS knowledge · Tableau · ETL/ Data Pipeline architecture

Work Mode: Hands-On | Stakeholder-Facing

ROLE OVERVIEW

We are looking for a driven Associate with strong hands-on experience in SQL, RDBMS knowledge and Tableau, Good to have any exposure on the practical implementation of AI technologies (any Process improvement / Automation implementations). The candidate must be self-sufficient and capable of engaging directly with business stakeholders with minimal supervision.

KEY RESPONSIBILITIES

• Own end-to-end BI and analytics solutions from requirements through delivery
• Lead Tableau development including complex calculated fields, blended data sources, and performance-tuned dashboards
• Identify data quality issues, edge cases, and process gaps; document and escalate proactively
• Engage independently with stakeholders to gather requirements, present findings, and drive outcomes
• Architect and optimize Snowflake data models, pipelines, and cost-efficient query patterns
• Act as the primary technical interface with business and client stakeholders
• Mentor Associates and contribute to internal knowledge-sharing and best practices
• Contribute to AI solutions and Automations using related frameworks.

REQUIRED SKILLS

• SQL - Expert level; complex queries, query optimization, performance tuning, stored procedures, data modelling.
• Tableau - Advanced; enterprise-grade dashboards, Tableau Server/Cloud
• Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
• Strong stakeholder management and communication skills

Good to have:

• Any Prior knowledge in Forecasting Model building or model maintenance
• Had prior expertise in AI solutions and Automations using Python or any AI related frameworks.

NON-NEGOTIABLE

• Must be fully hands-on - no exceptions at this level
• Must demonstrate independent stakeholder engagement capability

Manager - Data & AI Practice

Level: Manager

Experience: 9.5 - 13 Years

Tool Stack: SQL · Tableau · ETL/ Data Pipeline architecture · AI

Work Mode: 70% Hands-On | 30% Team Leadership

ROLE OVERVIEW

We are looking for a manager who combines strong technical hands-on capability with the ability to lead small, high-performing teams. The ideal candidate brings depth in SQL, Tableau, ETL/ Data Pipeline architecture, proven AI hands-on /SME experience, and the communication gravitas to drive alignment with senior stakeholders and clients.

KEY RESPONSIBILITIES

• Lead the design and delivery of end-to-end data and AI solutions across client engagements
• Manage a small team of Associates and Senior Associates - assign work, review deliverables, enable growth
• Remain hands-on across SQL, Tableau, Python, and Gen AI - actively contribute to solution development (70% technical)
• Drive Gen AI and Agentic AI initiatives including LangChain architectures, RAG frameworks, and LLM-integrated workflows
• Own client communication, stakeholder alignment, and executive-level reporting
• Identify process gaps, define SOPs, and ensure delivery quality and consistency
• Stay current on technology advancements and translate emerging trends into practical recommendations

REQUIRED SKILLS

• SQL - Expert level: complex queries, data modelling, ETL/ Data Pipeline architecture, performance tuning (mandatory)
• Tableau - Advanced; ability to guide team and review enterprise-grade builds (mandatory)
• Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
• Team management - Experience leading small teams (2-6 members)
• Communication - Ability to articulate complex technical concepts to non-technical stakeholders
• Learnability - Demonstrated ability to adopt and apply emerging technologies
• AI - Hands-on delivery and team guidance in:
• Expertise in AI solutions and Automations using Python or any AI related frameworks.
• LLM integration and prompt engineering

Good to have:

• Any Prior knowledge in Forecasting Model building or model maintenance

NON-NEGOTIABLE

• Minimum 70% hands-on contribution expected - management-only profiles will not be considered
• Must have built AI solutions independently, not just supervised others doing so
• Strong communication and articulation skills are essential for client-facing interactions