DocuSign
Lead Analyst, Lifecycle Marketing
DocuSign, San Francisco, California, United States, 94199
Company Overview
Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll doYou will be a hands-on analytics leader for Docusign’s lifecycle marketing campaigns. You will work with complex data, measure and benchmark campaign performance, design and run experiments to evaluate campaign effectiveness, and play a critical part in continuously optimizing the omni-channel campaign strategies in all stages of customer journey worldwide. You will partner closely with teams including, but not limited to Lifecycle Marketing, Campaign Operations, and Data Science.You will excel as a trusted advisor, creative problem solver, and exceptional problem-solver with a proven ability to structure and navigate sophisticated problems and processes. You can simultaneously think strategically and take a hands-on approach to deep dive into our data to deliver high level or detailed well-structured models and analysis depending on the business need. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams.This position is an individual contributor role reporting to the Head of Lifecycle Marketing Analytics.ResponsibilitiesDrive analytics and KPIs for key lifecycle marketing campaigns across channels (Email, in-product messaging, chat, web, etc) and across customer journey stages - acquisition, onboard and engage, convert, grow and retainIdentify and analyze metrics to measure and optimize marketing campaign strategies and spendBuild, maintain, and monitor dashboards for campaigns to quickly understand performance and spot trends or outliersConduct in-depth analysis of cohort performance and incrementally tie to campaign experimentsPartner with cross-functional teams in Lifecycle Marketing and Campaign Operations to enhance existing campaign audience segmentation models and targeting tacticsSupport the experimentation roadmap for digital experiences: identify and prioritize opportunities, write test charters, partner with fellow analysts and data scientists on analysis and recommendations to stakeholdersManage a team of two
What you bringBasicBachelor’s Degree in a quantitative field (Statistics, Data Science, Finance, Math, CS, or related) with 8+ years of relevant experience in customer behavior analytics, or Advanced Degree in a quantitative field with 5+ years of relevant experience6+ years of SQL skills with excellent hands-on experience in creating complex queries across multiple database schemas4+ years hands-on experience with marketing and campaign measurement3+ years hands-on experience in A/B testing and experimentation with history of arriving at conclusive resultsExperience building dashboards in Tableau, Qlik, PowerBI or similarExperience in at least one programming language, such as Python, R, Scala, Spark, PerlExperience with Statistics concepts and analysis, such as hypothesis testing, regression, experimental designExperience with spreadsheet modeling skills including pivot tables and complex formulasExperience using both qualitative and quantitative analysis techniquesExperience with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutionsPreferredExperience optimizing campaigns to achieve premier conversion ratesGood familiarity with the principles of data science and data engineeringAttention to detail with focus on data quality, data consistency and criticalityAdvanced data analysis skills, such as database query construction, data warehousing, forecasting, data mining and experience in business analysisExposure to big data platforms, such as Snowflake, Redshift, Azure, Matillion, AlteryxExcellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
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Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll doYou will be a hands-on analytics leader for Docusign’s lifecycle marketing campaigns. You will work with complex data, measure and benchmark campaign performance, design and run experiments to evaluate campaign effectiveness, and play a critical part in continuously optimizing the omni-channel campaign strategies in all stages of customer journey worldwide. You will partner closely with teams including, but not limited to Lifecycle Marketing, Campaign Operations, and Data Science.You will excel as a trusted advisor, creative problem solver, and exceptional problem-solver with a proven ability to structure and navigate sophisticated problems and processes. You can simultaneously think strategically and take a hands-on approach to deep dive into our data to deliver high level or detailed well-structured models and analysis depending on the business need. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams.This position is an individual contributor role reporting to the Head of Lifecycle Marketing Analytics.ResponsibilitiesDrive analytics and KPIs for key lifecycle marketing campaigns across channels (Email, in-product messaging, chat, web, etc) and across customer journey stages - acquisition, onboard and engage, convert, grow and retainIdentify and analyze metrics to measure and optimize marketing campaign strategies and spendBuild, maintain, and monitor dashboards for campaigns to quickly understand performance and spot trends or outliersConduct in-depth analysis of cohort performance and incrementally tie to campaign experimentsPartner with cross-functional teams in Lifecycle Marketing and Campaign Operations to enhance existing campaign audience segmentation models and targeting tacticsSupport the experimentation roadmap for digital experiences: identify and prioritize opportunities, write test charters, partner with fellow analysts and data scientists on analysis and recommendations to stakeholdersManage a team of two
What you bringBasicBachelor’s Degree in a quantitative field (Statistics, Data Science, Finance, Math, CS, or related) with 8+ years of relevant experience in customer behavior analytics, or Advanced Degree in a quantitative field with 5+ years of relevant experience6+ years of SQL skills with excellent hands-on experience in creating complex queries across multiple database schemas4+ years hands-on experience with marketing and campaign measurement3+ years hands-on experience in A/B testing and experimentation with history of arriving at conclusive resultsExperience building dashboards in Tableau, Qlik, PowerBI or similarExperience in at least one programming language, such as Python, R, Scala, Spark, PerlExperience with Statistics concepts and analysis, such as hypothesis testing, regression, experimental designExperience with spreadsheet modeling skills including pivot tables and complex formulasExperience using both qualitative and quantitative analysis techniquesExperience with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutionsPreferredExperience optimizing campaigns to achieve premier conversion ratesGood familiarity with the principles of data science and data engineeringAttention to detail with focus on data quality, data consistency and criticalityAdvanced data analysis skills, such as database query construction, data warehousing, forecasting, data mining and experience in business analysisExposure to big data platforms, such as Snowflake, Redshift, Azure, Matillion, AlteryxExcellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
#J-18808-Ljbffr