Senior Data Scientist, Marketing & Operations Analytics
To see similar active jobs please follow this link: Remote Marketing jobs
About the role
As a Senior Data Scientist, Marketing & Operations Analytics, you will be responsible for measuring, understanding and helping optimize the different marketing channels and sales operations at Coalition. You will use analytics, experimentation and advanced statistical techniques (i.e. causal inference, Marketing Mix Model, etc) to help optimize our customer acquisition, and retention strategies across Web, Growth and Digital Demand. This role will also partner with our Sales Operations team to help guide them through mid-funnel actions that lead to downstream conversions. This role requires the ability to partner with the Head of Marketing, Head of Sales Ops, and other key stakeholders to effectively communicate clear, actionable strategies across our company.
This is a remote position that can be based anywhere in the United States or Canada.
Responsibilities
Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic decisions and uncover optimization opportunities
Influence leadership & make us more efficient with data-backed recommendations, tracking OKRs etc.
Ability to understand, measure, and empathize with the customer’s journey
Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key marketing & sales ops decisions
Provide knowledge of the sales cycle for mid-funnel engagements to provide analytics support and recommendations to the sales ops team to optimize performance and drive mid-funnel engagement and down-stream conversions.
Combine/Integrate new data sources and be able to put together new narratives based on the data
Training/mentorship of junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization
Skills and Qualifications
A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Demonstrated experience influencing partners in product, marketing, operations etc
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
Strong programming skills in Python, R, or similar programming language
Work in Tableau, Looker, or similar visualization / business intelligence platform
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Points
Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, Outreach or Zuora a big plus
Experience in insurance, insurtech and fintech industries
Experience with DBT, Airflow or similar analytics workflow tools is a big plus
Understanding of and experience with experimental design, causal inference and advanced statistical methods
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $105,000/year in our lowest geographic market up to $158,400/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
About the job
Senior Data Scientist, Marketing & Operations Analytics
To see similar active jobs please follow this link: Remote Marketing jobs
About the role
As a Senior Data Scientist, Marketing & Operations Analytics, you will be responsible for measuring, understanding and helping optimize the different marketing channels and sales operations at Coalition. You will use analytics, experimentation and advanced statistical techniques (i.e. causal inference, Marketing Mix Model, etc) to help optimize our customer acquisition, and retention strategies across Web, Growth and Digital Demand. This role will also partner with our Sales Operations team to help guide them through mid-funnel actions that lead to downstream conversions. This role requires the ability to partner with the Head of Marketing, Head of Sales Ops, and other key stakeholders to effectively communicate clear, actionable strategies across our company.
This is a remote position that can be based anywhere in the United States or Canada.
Responsibilities
Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic decisions and uncover optimization opportunities
Influence leadership & make us more efficient with data-backed recommendations, tracking OKRs etc.
Ability to understand, measure, and empathize with the customer’s journey
Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key marketing & sales ops decisions
Provide knowledge of the sales cycle for mid-funnel engagements to provide analytics support and recommendations to the sales ops team to optimize performance and drive mid-funnel engagement and down-stream conversions.
Combine/Integrate new data sources and be able to put together new narratives based on the data
Training/mentorship of junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization
Skills and Qualifications
A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Demonstrated experience influencing partners in product, marketing, operations etc
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
Strong programming skills in Python, R, or similar programming language
Work in Tableau, Looker, or similar visualization / business intelligence platform
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Points
Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, Outreach or Zuora a big plus
Experience in insurance, insurtech and fintech industries
Experience with DBT, Airflow or similar analytics workflow tools is a big plus
Understanding of and experience with experimental design, causal inference and advanced statistical methods
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $105,000/year in our lowest geographic market up to $158,400/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
