Lightspeed
Technology
SeniorDataStrategist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Strategist at Lightspeed. Skills: Data strategy, Data science, Analytics engineering, Machine learning. Identify data projects. Solve complex problems”
Industry & Context.
Problem-solving; Analytical thinking
What They're Looking For.
Must Have
Bachelor's or Master's degree, 5+ years experience, Advanced SQL skills, Expert-level Python or R
Nice to Have
PhD preferred, Cloud platform certifications
What You'll Do.
Identify data projects
Solve complex problems
Execute experimental frameworks
Perform statistical analysis
Perform causal inference
Measure project impact
Communicate with stakeholders
Lead analytics standards
Develop business understanding
Drive continuous improvement
Enhance data processes
Maintain collaborative relationships
Prioritize strategic initiatives
How You'll Work.
Team & Collaboration
Cross-functional teams; Data professionals; Technical teams; Non-technical teams
Communication Scope
Data narratives; Visualizations
Process & Methodology
Roadmap planning
Full Job Description
Lightspeed is looking for a creative and technically strong Senior, Data Strategist to join our Data Strategy team. As a Senior Data Strategist, you’ll be responsible for driving innovative, high-value data initiatives across the organization. This role focuses on the end-to-end data lifecycle, with a particular emphasis on data transformation, analytics, and data science. As a Senior Data Strategist, you will work on proof-of-concept projects to quickly assess their feasibility and potential impact, which will help inform our larger data strategy. Once validated, you will collaborate with other data professionals to transition these projects into scalable, robust solutions. The Role: As a member of the Data Strategy team, you will be responsible for driving end-to-end data projects across multiple areas of the organization, with a focus on proof-of-concept projects that have high potential impact. This is a full-stack data role from discovery and hypothesis development to data exploration, modelling, implementation, and impact measurement. - Identify and pursue data projects with high potential value for the organization by immersing yourself in specific areas of the business. - Solve complex technical problems through proof of concept and exploratory solutions. - Design and execute robust A/B tests and other experimental frameworks, performing statistical analysis and causal inference. - Measure the impact of your projects with thoughtful and creative techniques. - Ensure clear communication and alignment with key stakeholders to drive successful outcomes, engaging and informing the stakeholders through compelling data narratives and visualizations. - Lead the development and adoption of the highest analytics standards and methodologies among the Data Office and across the organization. - Develop a deep understanding of our business processes, systems, and underlying data architecture. - Drive a culture of continuous improvement within the Data Strategy Team, id
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