Jobs at Snap Analytics

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.

Design, build, and iterate traditional data science and AI models to solve client business problems. Collaborate with engineers and stakeholders, produce clean code and reproducible analyses, propose technical solutions for ambiguous problems, and present actionable insights. Deliver production-ready models and become a trusted, autonomous member of a small, fast-moving AI team.

Hands-on B2B marketing role executing end-to-end campaigns (email, landing pages, automations), managing LinkedIn, writing copy, supporting events and website content, coordinating stakeholders, and using HubSpot, Canva and AI tools to deliver marketing activity.

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.

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 design and delivery of end-to-end AI solutions spanning traditional ML, data science and Gen AI. Identify Gen AI opportunities, provide technical direction, ensure code quality, manage client stakeholders, and mentor delivery teams to produce production-ready outcomes aligned to client needs.

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.