Jobs at Snap Analytics

Prospect and generate enterprise Sales-Qualified Opportunities across SAP, Snowflake, and Databricks by researching target accounts, running personalised multi-channel outbound, attending partner events, qualifying inbound against MEDDPICC, and maintaining Salesforce pipeline hygiene to hand off high-quality leads to AEs.

Lead delivery of cloud data platform solutions: design and build pipelines on Snowflake/Databricks using SQL, PySpark and ETL tools, implement CI/CD, work client-facing to run workshops, mentor junior staff, and identify business value.

Graduate Data Consultant supporting client data and analytics projects through proof-of-concepts, dashboards, reporting tools, data models, documentation, and cloud analytics solutions. The role includes learning Snowflake, Databricks, and Matillion, contributing to internal tools, collaborating with delivery teams, and helping clients turn data into actionable insights. A bachelor’s degree, interest in data and cloud technologies, communication skills, and willingness to learn are required.

Lead SAP data and analytics consulting workstreams for client projects, owning discovery, architecture, design decisions, deliverables, and implementation planning. Extract and model SAP data for modern platforms including SAP Business Data Cloud, Snowflake, and Databricks. Build client relationships, coach junior consultants, contribute to proposals and pre-sales, and help migrate customers from legacy SAP BW and BusinessObjects environments to cloud analytics platforms.

Designs and maintains dbt Core data models and scalable Snowflake transformation pipelines. Responsibilities include SQL development, performance tuning, testing, documentation, version control, CI/CD practices, and translating business requirements into technical schemas. The consultant collaborates with analysts, business leads, project managers, and engineers while progressively delivering work independently across client projects.

Lead multi-stream data and AI projects, own project plans, budgets and risks, run governance meetings, coordinate Architects/Data Engineers/AI teams, apply Snap's delivery methodology, manage senior stakeholders, and oversee multiple concurrent client engagements to ensure timely delivery and client satisfaction.

Hunt and close new enterprise Data & Analytics consulting deals (£500k+), owning full sales cycles with partner-aligned pipeline. Build relationships with C-level stakeholders and partner account teams, qualify opportunities with MEDDPICC, forecast accurately in Salesforce, and collaborate with delivery to shape commercially-sound Statements of Work. Attend partner and industry events to generate introductions and grow Snap's market presence.

Lead enterprise data platform transformations across Snowflake and Databricks; mentor and develop associate consultants; own workstreams and client relationships with senior stakeholders; translate technical design into business value; shape practice standards, tooling, proposals and enablement; drive platform design to support analytics and AI at scale and identify account expansion opportunities.