SalaryGuide
Responsibilities
Identify high-impact opportunities through data exploration and generate strategic insights to optimize marketing funnel conversion rates Define key marketing metrics and develop scalable reporting systems to monitor pipeline health and campaign performance Collaborate with cross-functional teams to share insights, improve processes, and influence marketing strategies Design, execute, and analyze A/B tests to evaluate the impact of product features, campaigns, and initiatives Provide expertise in analyzing customer journey metrics such as ROI, Customer Lifetime Value (CLTV), and conversion rates Support the development of attribution models to accurately measure marketing channel effectiveness Work with data scientists and analysts across the organization to share best practices and foster a data-centric culture Continuously stay updated on new analytical techniques and tools to improve data analysis capabilities Requirements
3+ years of experience in Data Science supporting marketing functions, preferably in a B2B SaaS environment Proficiency in SQL with at least 3 years of hands-on experience in data manipulation and analysis Strong scripting skills in Python or R for data analysis and automation Experience with data visualization tools such as Tableau or similar platforms Excellent communication skills, capable of translating complex data insights to non-technical stakeholders Experience with marketing attribution models across multiple channels including SEO, Paid Search, and Social Media Proven ability to design and analyze A/B tests to measure feature impacts and campaign effectiveness Bachelor’s or advanced degree in computer science, engineering, statistics, economics, or related quantitative discipline Preferred
Benefits
Comprehensive health, dental, and vision insurance plans Flexible work arrangements and remote work setup Generous paid time off and holiday leave Professional development opportunities and ongoing training Inclusive and diverse work environment that values different perspectives Employee wellness programs and resources
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Identify high-impact opportunities through data exploration and generate strategic insights to optimize marketing funnel conversion rates Define key marketing metrics and develop scalable reporting systems to monitor pipeline health and campaign performance Collaborate with cross-functional teams to share insights, improve processes, and influence marketing strategies Design, execute, and analyze A/B tests to evaluate the impact of product features, campaigns, and initiatives Provide expertise in analyzing customer journey metrics such as ROI, Customer Lifetime Value (CLTV), and conversion rates Support the development of attribution models to accurately measure marketing channel effectiveness Work with data scientists and analysts across the organization to share best practices and foster a data-centric culture Continuously stay updated on new analytical techniques and tools to improve data analysis capabilities Requirements
3+ years of experience in Data Science supporting marketing functions, preferably in a B2B SaaS environment Proficiency in SQL with at least 3 years of hands-on experience in data manipulation and analysis Strong scripting skills in Python or R for data analysis and automation Experience with data visualization tools such as Tableau or similar platforms Excellent communication skills, capable of translating complex data insights to non-technical stakeholders Experience with marketing attribution models across multiple channels including SEO, Paid Search, and Social Media Proven ability to design and analyze A/B tests to measure feature impacts and campaign effectiveness Bachelor’s or advanced degree in computer science, engineering, statistics, economics, or related quantitative discipline Preferred
Benefits
Comprehensive health, dental, and vision insurance plans Flexible work arrangements and remote work setup Generous paid time off and holiday leave Professional development opportunities and ongoing training Inclusive and diverse work environment that values different perspectives Employee wellness programs and resources
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