Solutions Engineer
Skills
BusinessBusiness Continuity PlanningBusiness InsightsBusiness Process ImprovementData AnalyticsDevelopment ProgramsEnablement
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong background in data analysis statistics or a related technical field
- Proven ability to manage multiple concurrent engagements and cross-functional timelines
- Comfort simplifying complex data sets into clear actionable insights
- Ability to translate technical model outputs for both technical and non-technical audiences
- Experience partnering with model builders on technical hand-offs and QA
- Comfortable working with C-level executives and technical decision-makers
- Demonstrated comfort using AI tools and automation to improve process efficiency
- Proactive ownership with a maker's mindset
Nice to have
- Strategic communicator
- Collaborative
- Process-minded
- Detail-oriented
- Adaptable
- Client-focused
Day to day
- Bridge the gap between sales, client delivery, and econometrics to ensure Bliss Point MMM implementations are technically sound and strategically aligned.
- Lead data onboarding and client data science walkthroughs while answering technical questions about model construction, assumptions, and outputs.
- Prepare internal teams for the first model readout by translating complex results into clear budget recommendations and actionable insights.
- Identify automation and AI opportunities to streamline workflows, standardize implementation processes, and improve scalability over time.