Data Analytics Senior Associate
Core
Design, implement, and manage modern analytic solutions and data engineering lifecycles for clients, including pre-sales scoping, proof of concepts, and business-ready data models.
Role type
Senior Analytics Engineer / Data Solutions Architect
Builds
Modern analytics stacks, data models, and ELT pipelines for cloud-based business systems
Domain
Financial services advisory, Data Engineering, Analytics Engineering
Deliverable
production ML models
Required skills
Data warehouse concepts, Dimensional modeling, Advanced SQL, DBT (Data Build Tool), Cloud databases (Snowflake, Redshift, BigQuery, Databricks), Analytics Engineering, Team management, Solution design
Preferred skills
BI tools (Sigma, Looker, Power BI), Data integration tools (Fivetran, Workato, Boomi), AWS/Azure/GCP platforms, Snowflake SnowPro Core certification, Azure experience
Technologies
DBT, Snowflake, Amazon Redshift, BigQuery, Databricks, Sigma, Looker, Power BI, Fivetran, Workato, Boomi, AWS, Azure, GCP
Responsibilities
Manage projects and teams against planned work; Manage day-to-day client relationships; Manage the Data Engineering lifecycle (research, PoC, architecture, design, development, testing, deployment, maintenance); Design and implement business-ready data models and business logic; Build proof of concepts for modern analytics stacks; Mentor and develop junior resources; Create actionable recommendations for platform and logic problems; Deliver technical presentations and workshops; Participate in solution scoping and pre-sales discussions
Seniority
Senior, hands-on IC with team management