6 дней назад
Marketing Data Analytics Engineer
82 000 - 92 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Data Analytics Engineer (Salesforce/Marketo/SQL): Building and maintaining data pipelines and automated reporting workflows that connect CRM, marketing automation, and warehouse data for marketing-sourced pipeline reporting with an accent on campaign attribution, data quality, and reusable analytics datasets. Focus on designing integrations, optimizing SQL across large relational datasets, applying AI-assisted analytics tools, and documenting data models for self-serve reporting.
Location: Remote or Mississauga, Canada. Remote roles require travel to the Mississauga and/or Salt Lake City offices for onboarding, team events, and semi-annual or annual meetings.
Salary: CAD 82,000–92,000 per year, plus bonus and benefits.
Company
is a privately held health technology company providing a cloud platform, healthcare data, and integrated solutions for more than 30,000 provider organizations.
What you will do
- Design, build, and maintain data pipelines connecting Salesforce, Marketo, and data warehouses such as BigQuery.
- Automate recurring campaign reporting workflows and develop reusable datasets, views, and queries for dashboards and executive reporting.
- Improve campaign attribution logic, including campaign codes, UTM data, campaign members, and lead-to-opportunity linkage.
- Monitor, troubleshoot, and improve data quality across marketing systems and downstream reporting tables.
- Apply AI tools such as Claude to accelerate data exploration, documentation, and query development while maintaining reporting accuracy.
- Support Salesforce and Marketo configuration and document data models, metric definitions, and processes.
Requirements
- Bachelor’s degree completed or in progress in Software Engineering, Computer Science, Data Engineering, or a related technical field.
- 0–2 years of applicable experience; new graduates are encouraged to apply.
- Strong SQL skills, including joins, aggregations, and window functions against large relational datasets.
- Working knowledge of a programming language such as Python for scripting, automation, or ETL.
- Understanding of relational data models and CRM or marketing-automation data structures.
- Analytical, detail-oriented approach with an interest in automating repetitive work and learning new tools.
Nice to have
- Experience with Salesforce, Marketo, cloud data warehouses, or BI tools such as Power BI, Looker, or Tableau.
- Exposure to ETL/ELT tools, APIs, workflow orchestration, dbt, Airflow, or Fivetran.
- Familiarity with AI-assisted development, marketing funnel metrics, B2B demand generation, or revenue operations.
- Co-op, internship, or project experience in data engineering or analytics engineering.
Culture & Benefits
- Flexible remote work with required travel for specified in-office events.
- Benefits start from day one.
- Retirement plan matching, flexible paid time off, and wellness support programs.
- Parental and caregiver leave, fertility and adoption support, and employee assistance programs.
- Continuous development support, recognition programs, and inclusion communities.
Hiring process
- Applications may be supported by AI tools for screening and assessment.
- Final hiring decisions are made by people following the formal interview and selection process.
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