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 robust 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

📌 Analytics - Data Analyst (Chennai)
🏢 Cognizant
📍 Chennai