Senior Analytics Engineer designing Lime’s finance - grade data warehouse and semantic layer. Ensuring governed, audit - ready reporting for the global shared micromobility business.
About the role
- Marketing Data Analytics Engineer building Salesforce, Marketo, and warehouse pipelines for PointClickCare’s healthcare analytics platform. Automating campaign reporting and supporting marketing-sourced pipeline insights.
Responsibilities
- Build and maintain data infrastructure supporting marketing analytics and pipeline reporting
- Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse
- Automate recurring campaign reporting workflows
- Write and optimize SQL for reusable datasets, views, and queries powering dashboards and leadership reporting
- Strengthen campaign attribution logic, including campaign codes, UTM/campaign member data, and lead-to-opportunity linkage
- Monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables
- Apply AI tools such as Claude to accelerate data exploration, documentation, and query development
- Support backend administration and configuration in Salesforce and Marketo
- Document data models, definitions, and processes for consistent, self-service marketing metrics
- Partner with Marketing Analytics, Demand Generation, and Marketing Operations
- Support executive-level reporting on marketing-sourced pipeline across Senior Care and Acute & Payer businesses
Requirements
- Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field
- 0–2 years of applicable experience
- Strong SQL skills, including joins, aggregations, and window functions against large relational datasets
- Working knowledge of at least one programming language used in data work, such as Python, for scripting, automation, or ETL
- Understanding of relational data models and CRM/marketing-automation data structures
- Hands-on exposure to Salesforce or Marketo
- Experience with a cloud data warehouse and BI tools
- Familiarity with AI-assisted development or analytics tools such as Claude
- Exposure to ETL/ELT tooling, APIs, or workflow orchestration
- Familiarity with marketing funnel metrics or B2B demand generation
- Co-op, internship, or project experience in data engineering, analytics engineering, or revenue operations
- Strong analytical and detail-oriented approach
- Openness to learning new tools, systems, and business context
Benefits
- Benefits starting from Day 1
- Retirement Plan Matching
- Flexible Paid Time Off
- Wellness Support Programs and Resources
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- Continuous Development Support Program
- Employee Assistance Program
- Allyship and Inclusion Communities
- Employee Recognition
- Bonus
- In-office events, including onboarding, team events, and semi-annual and annual team meetings
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