Establish, maintain, and validate end-to-end data pipelines (ETL/ELT), data quality frameworks, and dashboards that serve as the operational backbone for customer analytics
Conduct ad hoc analytics as requested by customers and coordinated with the central product team — including custom SQL queries, dashboard modifications, and bespoke visualizations
Build AI-centric solutions such as agents, machine learning models, and predictive models tailored to real-world customer use cases
Leverage AI tools — including code generation and prompt engineering — to accelerate development and deployment, while applying your technical judgment to validate outputs and resolve gaps AI can't handle on its own
Engage directly with customers to understand their data ecosystems, gather requirements, and translate business problems into technical specifications
Collaborate with stakeholders across levels — from analysts to C-suite — to communicate data-driven insights clearly and credibly
Troubleshoot and resolve data and analytics issues in production environments
Document solutions, including AI workflows, models, and pipelines, for client handover and continuity
Requirements
3–6 years of experience in data analytics, data engineering, or applied AI/ML roles
Strong proficiency in SQL, including complex queries, optimization, and data modeling
Hands-on experience with ETL/ELT tools (dbt, Informatica, Microsoft SQL Server, or similar)
Proficiency in Python for data processing, automation, and AI/ML workflows
Experience with data warehouses such as Snowflake and PostgreSQL
Exposure to AI/ML concepts, including predictive modeling, classification
Ability to effectively leverage AI-assisted development tools (e.g., Copilot, LLM-based coding assistants) while maintaining rigorous standards for code quality and correctness
Proven ability to work in client-facing environments, gathering requirements, and delivering solutions
Strong analytical thinking, problem-solving skills, and clear communication
Tech Stack
ETL
Informatica
MS SQL Server
Postgres
Python
SQL
Benefits
Generous Paid Time Off: Recharge and relax with 22 days of fixed time off per year, in addition to company holidays—because we believe work-life balance fuels performance.
Best-in-Class Parental Leave: Spend quality time with your growing family. We offer one of the industry’s most generous parental leave policies to support you during life’s most important moments.
Recognition & Rewards: We celebrate wins—big and small. Get rewarded with monetary incentives and company-wide recognition for your impact and dedication. Your hard work won’t go unnoticed.
Comprehensive Insurance Coverage: Stay covered with medical, dental, and vision insurance, plus 100% company-paid short
and long-term disability and basic life insurance. Optional perks include discounted legal aid and pet insurance.