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About the Role

This role requires a Customer Marketing Data Scientist who can combine technical expertise with business problem-solving, stakeholder partnership, and data-driven decision-making. You will work hands-on with data and serve as a key thought partner to Marketing and cross-functional teams, translating insights into action and influencing strategy. The ideal candidate thrives in ambiguity, enjoys solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences.

Responsibilities

Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes.
Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
Translate complex analysis into clear, actionable insights; present findings to drive understanding and decision-making.
Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques.
Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.

Requirements

Bachelor’s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field.
Certifications in analytics or AI/ML are an asset.
3+ years of experience in marketing, customer analytics, or data science in a business-facing role.
Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact.
Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches.
Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets.
Experience working with cloud and data platforms such as Azure and Databricks.
Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively.
Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques.
Ability to connect technical outputs to clear business insights and strategic recommendations.
Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences.
Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking.
Ability to connect technical work to business impact and strategy.
Comfortable engaging stakeholders, challenging assumptions, and guiding direction.
Curious, proactive, and focused on delivering measurable outcomes.

Skills

Data Science
Statistics
Computer Science
Marketing Analytics
Customer Analytics
SAS
Python
R
SQL
Azure
Databricks
Power BI
Tableau
Looker
Predictive Modeling
Segmentation
Experimentation
Data Visualization
Business Intelligence
Communication
Storytelling
Problem-Solving

Experience Level

3+ years of experience

Education Level

Bachelor’s degree or equivalent hands-on experience

Salary/Compensations

$85,000 - $105,000 annually

Benefits

Supportive and inclusive work environment
Competitive compensation
Total rewards package
Flexible schedules
State-of-the-art tools and technologies
Employee Assistance Programs (LYRA)
Professional development opportunities
Training & career growth
Performance-based incentives
Comprehensive benefits
Retirement plans with matching contributions

About the Company

Superior Plus Propane is an equal opportunity employer committed to the inclusion and accommodation of all individuals.

Equal Opportunity

We are an equal opportunity employer committed to the inclusion and accommodation of all individuals, we welcome all qualified candidates to apply.
If you have an accommodation need during the recruitment & selection process, we encourage you to connect with us at sppcareers@superiorpluspropane.com to let us know how we can enhance your experience.