NinjaOne
Overview
NinjaOne is growing, and we’re looking for a Senior Marketing Data Analyst who can partner effectively across our global teams and play a key role in accelerating business growth at NinjaOne.
Reporting to the Manager of Marketing Analytics and Data Science, you will take ownership of key initiatives and autonomously develop robust actionable analyses, providing valuable business recommendations from complex data sources. You will also lead the creation and management of data pipelines, analysis, and reporting. Your strong business and marketing acumen will be vital as you work closely with senior leaders, helping shape strategic decision‑making and identifying levers to drive revenue growth across multiple brand marketing channels.
If you thrive in fast‑paced environments, embracing ambiguity and complexity while excelling as a persuasive data storyteller, adept at driving alignment and providing clear direction to multiple stakeholders, ultimately achieving concrete business outcomes, this opportunity is tailor‑made for you!
Location Flexible remote work from home for candidates located in the USA and residing in one of the following states: CA, CO, CT, FL, GA, IL, KS, ME, MA, NJ, NC, OR, TX, or VA. Preference will be given to candidates based in the Pacific Time zone.
Responsibilities
Evaluate and optimize effectiveness and efficiency of brand marketing funnels, channels, and campaign performance, uncovering insights and crafting growth‑focused recommendations.
Collaborate closely with Marketing (Brand, Performance, Content, Paid Social, Organic Social, Agency, etc.), Web Dev, and Data Engineering teams to develop strategies to sustain and grow our inbound business, influencing budget allocation across Brand Marketing channels to maximize incremental growth.
Maintain current brand marketing channel measurement through incrementality and attribution methodologies, exploring and implementing new methodologies to improve measurement granularity.
Translate complex analytical findings into digestible visualizations and concise actionable recommendations for marketing stakeholders and our agency.
Work with our measurement agency to design a first‑ever Geo‑splitting test for brand campaign performance: evaluate what to test, finalize the testing plan, implement, analyze results, and provide recommendations for next steps.
Streamline and automate data pipelines to ensure seamless data flow, preserve data integrity, and expedite insights.
Support any ad‑hoc reporting and analysis to understand user behavior, investigate emerging trends, and diagnose data discrepancies.
Other duties as needed.
Qualifications
BA/BS degree in Economics, Statistics, Mathematics, Machine Learning, Operations Research, Analytics, or Computer Science (MS preferred).
5+ years of experience in an analytics‑focused role supporting marketing analysis and data science functions; SaaS experience preferred.
Expertise in handling complex datasets, data automation, SQL, modeling, and Tableau, and experience working in a large‑scale data warehouse environment.
Proficiency in Python, Databricks, DBT or equivalent tools with a focus on Marketing Mix Models (MMM), time series models, multivariate regression models, and hypothesis testing.
Strong storytelling and communication skills with experience delivering compelling presentations to stakeholders.
A demonstrated capacity for self‑managing roadmaps and independently executing complex strategic projects.
You thrive in fast‑paced environments, embracing ambiguity and complexity with ease.
About Us NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform increases productivity, reduces security risk, and lowers costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.
Benefits
Medical, dental, and vision insurance.
401(k) plan.
Life insurance coverage.
Unlimited PTO.
Opportunity for growth and advancement.
Pay and Eligibility Starting pay depends on job‑related factors, including location, market demand, experience, and skills. For roles based in California, Colorado, Maryland, New Jersey, or Washington, the base salary range is $110,000‑$120,000 per year. For roles based in New York, the base salary range is $110,000‑$120,000 per year. This position is not eligible for visa sponsorship.
EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.
Additional Information Due to operational policies, NinjaOne is unable to hire for this role within Chicago city limits. We will consider all qualified candidates who reside outside the city proper or are willing to self‑relocate.
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Reporting to the Manager of Marketing Analytics and Data Science, you will take ownership of key initiatives and autonomously develop robust actionable analyses, providing valuable business recommendations from complex data sources. You will also lead the creation and management of data pipelines, analysis, and reporting. Your strong business and marketing acumen will be vital as you work closely with senior leaders, helping shape strategic decision‑making and identifying levers to drive revenue growth across multiple brand marketing channels.
If you thrive in fast‑paced environments, embracing ambiguity and complexity while excelling as a persuasive data storyteller, adept at driving alignment and providing clear direction to multiple stakeholders, ultimately achieving concrete business outcomes, this opportunity is tailor‑made for you!
Location Flexible remote work from home for candidates located in the USA and residing in one of the following states: CA, CO, CT, FL, GA, IL, KS, ME, MA, NJ, NC, OR, TX, or VA. Preference will be given to candidates based in the Pacific Time zone.
Responsibilities
Evaluate and optimize effectiveness and efficiency of brand marketing funnels, channels, and campaign performance, uncovering insights and crafting growth‑focused recommendations.
Collaborate closely with Marketing (Brand, Performance, Content, Paid Social, Organic Social, Agency, etc.), Web Dev, and Data Engineering teams to develop strategies to sustain and grow our inbound business, influencing budget allocation across Brand Marketing channels to maximize incremental growth.
Maintain current brand marketing channel measurement through incrementality and attribution methodologies, exploring and implementing new methodologies to improve measurement granularity.
Translate complex analytical findings into digestible visualizations and concise actionable recommendations for marketing stakeholders and our agency.
Work with our measurement agency to design a first‑ever Geo‑splitting test for brand campaign performance: evaluate what to test, finalize the testing plan, implement, analyze results, and provide recommendations for next steps.
Streamline and automate data pipelines to ensure seamless data flow, preserve data integrity, and expedite insights.
Support any ad‑hoc reporting and analysis to understand user behavior, investigate emerging trends, and diagnose data discrepancies.
Other duties as needed.
Qualifications
BA/BS degree in Economics, Statistics, Mathematics, Machine Learning, Operations Research, Analytics, or Computer Science (MS preferred).
5+ years of experience in an analytics‑focused role supporting marketing analysis and data science functions; SaaS experience preferred.
Expertise in handling complex datasets, data automation, SQL, modeling, and Tableau, and experience working in a large‑scale data warehouse environment.
Proficiency in Python, Databricks, DBT or equivalent tools with a focus on Marketing Mix Models (MMM), time series models, multivariate regression models, and hypothesis testing.
Strong storytelling and communication skills with experience delivering compelling presentations to stakeholders.
A demonstrated capacity for self‑managing roadmaps and independently executing complex strategic projects.
You thrive in fast‑paced environments, embracing ambiguity and complexity with ease.
About Us NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform increases productivity, reduces security risk, and lowers costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.
Benefits
Medical, dental, and vision insurance.
401(k) plan.
Life insurance coverage.
Unlimited PTO.
Opportunity for growth and advancement.
Pay and Eligibility Starting pay depends on job‑related factors, including location, market demand, experience, and skills. For roles based in California, Colorado, Maryland, New Jersey, or Washington, the base salary range is $110,000‑$120,000 per year. For roles based in New York, the base salary range is $110,000‑$120,000 per year. This position is not eligible for visa sponsorship.
EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.
Additional Information Due to operational policies, NinjaOne is unable to hire for this role within Chicago city limits. We will consider all qualified candidates who reside outside the city proper or are willing to self‑relocate.
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