hims
Employer Industry: Health and Wellness Technology
Why consider this job opportunity
Competitive salary and equity compensation for full-time roles
Unlimited PTO, company holidays, and quarterly mental health days
Comprehensive health benefits including medical, dental & vision, and parental leave
Employee Stock Purchase Program (ESPP) and 401k benefits with employer matching contributions
Opportunity to work in a collaborative and innovative environment with a focus on personal and professional development
Chance to make a significant impact on business growth through data-driven insights
Job Responsibilities
Serve as a technical expert and end-to-end owner on marketing data sources, analytics infrastructure, data models, and analysis and measurement methodologies
Optimize complex data models that unify data across marketing channels and apply complex attribution models
Investigate the root causes of data anomalies and trends
Develop and automate dashboards and reporting critical to business stakeholder decision-making
Design, execute, and analyze A/B and incrementality tests across marketing campaigns to drive strategic decision-making
Qualifications
5-7+ years of experience as an analyst, writing complex queries, developing in business intelligence tools, performing analysis in Python and/or R, and communicating with senior stakeholders
Bachelor’s degree in Business, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience
Strong SQL and Python skills; ability to understand and author complex SQL queries and optimize query performance
Experience with DBT for data modeling and orchestration
Familiarity with statistical experimentation and A/B testing principles
Preferred Qualifications
Experience using Looker for business intelligence and developing a semantic layer in LookML
Advanced Python skills for data manipulation, analysis, and modeling, with experience using Jupyter notebooks, pandas, scikit-learn, etc.
Understanding of marketing business domain applications such as multi-touch attribution (MTA) and Marketing Mix Modeling (MMM)
Experience with website analytics (e.g. Amplitude, Google Analytics) and app analytics tools (e.g. Branch, AppsFlyer)
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all.
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Why consider this job opportunity
Competitive salary and equity compensation for full-time roles
Unlimited PTO, company holidays, and quarterly mental health days
Comprehensive health benefits including medical, dental & vision, and parental leave
Employee Stock Purchase Program (ESPP) and 401k benefits with employer matching contributions
Opportunity to work in a collaborative and innovative environment with a focus on personal and professional development
Chance to make a significant impact on business growth through data-driven insights
Job Responsibilities
Serve as a technical expert and end-to-end owner on marketing data sources, analytics infrastructure, data models, and analysis and measurement methodologies
Optimize complex data models that unify data across marketing channels and apply complex attribution models
Investigate the root causes of data anomalies and trends
Develop and automate dashboards and reporting critical to business stakeholder decision-making
Design, execute, and analyze A/B and incrementality tests across marketing campaigns to drive strategic decision-making
Qualifications
5-7+ years of experience as an analyst, writing complex queries, developing in business intelligence tools, performing analysis in Python and/or R, and communicating with senior stakeholders
Bachelor’s degree in Business, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience
Strong SQL and Python skills; ability to understand and author complex SQL queries and optimize query performance
Experience with DBT for data modeling and orchestration
Familiarity with statistical experimentation and A/B testing principles
Preferred Qualifications
Experience using Looker for business intelligence and developing a semantic layer in LookML
Advanced Python skills for data manipulation, analysis, and modeling, with experience using Jupyter notebooks, pandas, scikit-learn, etc.
Understanding of marketing business domain applications such as multi-touch attribution (MTA) and Marketing Mix Modeling (MMM)
Experience with website analytics (e.g. Amplitude, Google Analytics) and app analytics tools (e.g. Branch, AppsFlyer)
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all.
#J-18808-Ljbffr