Responsibilities

End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through insight delivery and business adoption, ensuring outcomes; not just outputs.
Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
Cross-Functional Delivery: 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

Nice to Have

Certifications in analytics or AI/ML are an asset

Benefits

Culture of collaboration, respect, and open communication
Competitive compensation and total rewards package
Flexible schedules and work-life balance
Access to state-of-the-art tools and technologies
LYRA platform for well-being resources
Opportunities for training and career growth
24/7 safety mindset across organization
Comprehensive benefits and retirement plans with matching contributions

Job Description

Responsibilities

End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through insight delivery and business adoption, ensuring outcomes; not just outputs.
Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.
Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
Cross-Functional Delivery: 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

Nice to Have

Certifications in analytics or AI/ML are an asset

Benefits

Culture of collaboration, respect, and open communication
Competitive compensation and total rewards package
Flexible schedules and work-life balance
Access to state-of-the-art tools and technologies
LYRA platform for well-being resources
Opportunities for training and career growth
24/7 safety mindset across organization
Comprehensive benefits and retirement plans with matching contributions

Marketing jobs

Customer Marketing Data Science Specialist

Customer Marketing Specialist

Sr. Marketing Specialist, Non-Acute Customer Marketing

All marketing roles in the US with a remote work arrangement

All marketing roles in the US with a remote work arrangement

All marketing roles in the US with a remote work arrangement

All marketing roles in the US with a remote work arrangement

Customer Marketing Data Science Specialist

Customer Marketing Specialist

Sr. Marketing Specialist, Non-Acute Customer Marketing

Customer Marketing Data Science Specialist

Top 1% of applicants do these two things.

Job Summary

Job Description

Responsibilities

Requirements

Nice to Have

Benefits

Marketing Team

Customer Marketing Data Science Specialist

Customer Marketing Specialist

Sr. Marketing Specialist, Non-Acute Customer Marketing

Customer Marketing Data Science Specialist

Top 1% of applicants do these two things.

Job Summary

Job Description

Responsibilities

Requirements

Nice to Have

Benefits

Marketing Team