Analytics - Data Analyst

Level\: Associate

Experience\: 3 – 6 Years

Tool Stack\: SQL · RDBMS knowledge · Tableau ·

Work Mode\: Hands-On | Independent

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.

● 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.

● 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

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

Level\: Senior Associate

Experience\: 6 – 9 Years

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

Work Mode\: Hands-On | Stakeholder-Facing

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.

● 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.

● 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

● 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.

● Must be fully hands-on — no exceptions at this level

● Must demonstrate independent stakeholder engagement capability

Level\: Manager

Experience\: 9.5 – 13 Years

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

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

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.

● 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

● 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

● Any Prior knowledge in Forecasting Model building or model maintenance

● 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