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
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

Work arrangement
Hybrid