Marketing Data Science Specialist

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

Why join us: Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity: A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What you’ll do:

- Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.

- Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.

- Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.

- Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).

- Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.

- Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.

- NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

What you bring:

- A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.

- Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset

- Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.

- Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.

- Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).

- Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.

- Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.

- Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.

- Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.

- Organized, self-driven, and comfortable collaborating with stakeholders virtually

- Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Why Join Us?

- Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.

- Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.

- Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.

Salary: $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).

Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.

This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.

Here at Superior Plus Propane, 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.

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