B2B Marketing Operations Analyst (Contract)
Instacart
B2B Marketing Operations Analyst (Contract)
Job Description
Responsibilities
- Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing, and validation efforts.
- Serve as the marketing operations contact, partnering with sales operations to better segment our target audiences.
- Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads.
- Translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates.
- Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact
- Monitor campaigns to optimize performance based on industry best practices Translate data into actionable insights and recommendations that help to drive business outcomes.
- Partner with marketing stakeholders to develop robust KPIs and scorecards for marketing performance monitoring
- Produce and maintain metrics reports on marketing and sales activities, effectiveness, and business impact
- Present analysis and findings to a variety of audience
- Evaluate new technologies and add-on applications to improve and optimize marketing team performance
- Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening), with the ability to connect and synthesize insights across these diverse datasets.
Required Qualifications
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer focused on Marketing
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics
- Thrives in a fast-paced, cross-functional role
- Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audience
- Experience building operational dashboards and automated reporting
- Proficiency in the usage, configuration, and management of: Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio)
- Proficiency in the usage, configuration, and management of: Analytics tools (e.g., GA4, Adobe Analytics, etc.)
- Proficiency in the usage, configuration, and management of: Tag management systems (e.g., Google Tag Manager, etc.)
- Proficiency in the usage, configuration, and management of: Data querying and manipulation tools (e.g., SQL)
- Experience with marketing automation and CRM platforms (eg. Pardot, Salesforce or similar)
- Strong problem-solving and critical-thinking skills
- Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects
Preferred Qualifications
- Experience working with R, Python, SAS, or other statistical programming languages
- Proficiency with databases and data retrieval, including SQL, Snowflake, Spark and REST APIs
Required Skills
- Data pipelines
- Data integrity processing, cleansing, validation
- Operational dashboards
- Automated reporting
- SQL
- Data visualization (Tableau, Power BI, Looker Studio)
- Analytics (GA4, Adobe Analytics)
- Tag management (Google Tag Manager)
- Marketing automation (Pardot)
- CRM (Salesforce)
- Problem-solving
- Critical-thinking
- Organizational skills
- Time-management
- R, Python, SAS
- Databases (Snowflake, Spark)
- REST APIs
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
85,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data pipelinesintermediate
- Data integrity processing, cleansing, validationintermediate
- Operational dashboardsintermediate
- Automated reportingintermediate
- SQLintermediate
- Data visualization (Tableau, Power BI, Looker Studio)intermediate
- Analytics (GA4, Adobe Analytics)intermediate
- Tag management (Google Tag Manager)intermediate
- Marketing automation (Pardot)intermediate
- CRM (Salesforce)intermediate
- Problem-solvingintermediate
- Critical-thinkingintermediate
- Organizational skillsintermediate
- Time-managementintermediate
- R, Python, SASintermediate
- Databases (Snowflake, Spark)intermediate
- REST APIsintermediate
Required Qualifications
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer focused on Marketing (experience)
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics (experience)
- Thrives in a fast-paced, cross-functional role (experience)
- Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audience (experience)
- Experience building operational dashboards and automated reporting (experience)
- Proficiency in the usage, configuration, and management of: Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio) (experience)
- Proficiency in the usage, configuration, and management of: Analytics tools (e.g., GA4, Adobe Analytics, etc.) (experience)
- Proficiency in the usage, configuration, and management of: Tag management systems (e.g., Google Tag Manager, etc.) (experience)
- Proficiency in the usage, configuration, and management of: Data querying and manipulation tools (e.g., SQL) (experience)
- Experience with marketing automation and CRM platforms (eg. Pardot, Salesforce or similar) (experience)
- Strong problem-solving and critical-thinking skills (experience)
- Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects (experience)
Preferred Qualifications
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- Proficiency with databases and data retrieval, including SQL, Snowflake, Spark and REST APIs (experience)
Responsibilities
- Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing, and validation efforts.
- Serve as the marketing operations contact, partnering with sales operations to better segment our target audiences.
- Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads.
- Translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates.
- Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact
- Monitor campaigns to optimize performance based on industry best practices Translate data into actionable insights and recommendations that help to drive business outcomes.
- Partner with marketing stakeholders to develop robust KPIs and scorecards for marketing performance monitoring
- Produce and maintain metrics reports on marketing and sales activities, effectiveness, and business impact
- Present analysis and findings to a variety of audience
- Evaluate new technologies and add-on applications to improve and optimize marketing team performance
- Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening), with the ability to connect and synthesize insights across these diverse datasets.
Tags & Categories
B2B Marketing Operations Analyst (Contract)
Instacart
B2B Marketing Operations Analyst (Contract)
Job Description
Responsibilities
- Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing, and validation efforts.
- Serve as the marketing operations contact, partnering with sales operations to better segment our target audiences.
- Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads.
- Translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates.
- Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact
- Monitor campaigns to optimize performance based on industry best practices Translate data into actionable insights and recommendations that help to drive business outcomes.
- Partner with marketing stakeholders to develop robust KPIs and scorecards for marketing performance monitoring
- Produce and maintain metrics reports on marketing and sales activities, effectiveness, and business impact
- Present analysis and findings to a variety of audience
- Evaluate new technologies and add-on applications to improve and optimize marketing team performance
- Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening), with the ability to connect and synthesize insights across these diverse datasets.
Required Qualifications
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer focused on Marketing
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics
- Thrives in a fast-paced, cross-functional role
- Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audience
- Experience building operational dashboards and automated reporting
- Proficiency in the usage, configuration, and management of: Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio)
- Proficiency in the usage, configuration, and management of: Analytics tools (e.g., GA4, Adobe Analytics, etc.)
- Proficiency in the usage, configuration, and management of: Tag management systems (e.g., Google Tag Manager, etc.)
- Proficiency in the usage, configuration, and management of: Data querying and manipulation tools (e.g., SQL)
- Experience with marketing automation and CRM platforms (eg. Pardot, Salesforce or similar)
- Strong problem-solving and critical-thinking skills
- Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects
Preferred Qualifications
- Experience working with R, Python, SAS, or other statistical programming languages
- Proficiency with databases and data retrieval, including SQL, Snowflake, Spark and REST APIs
Required Skills
- Data pipelines
- Data integrity processing, cleansing, validation
- Operational dashboards
- Automated reporting
- SQL
- Data visualization (Tableau, Power BI, Looker Studio)
- Analytics (GA4, Adobe Analytics)
- Tag management (Google Tag Manager)
- Marketing automation (Pardot)
- CRM (Salesforce)
- Problem-solving
- Critical-thinking
- Organizational skills
- Time-management
- R, Python, SAS
- Databases (Snowflake, Spark)
- REST APIs
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
85,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data pipelinesintermediate
- Data integrity processing, cleansing, validationintermediate
- Operational dashboardsintermediate
- Automated reportingintermediate
- SQLintermediate
- Data visualization (Tableau, Power BI, Looker Studio)intermediate
- Analytics (GA4, Adobe Analytics)intermediate
- Tag management (Google Tag Manager)intermediate
- Marketing automation (Pardot)intermediate
- CRM (Salesforce)intermediate
- Problem-solvingintermediate
- Critical-thinkingintermediate
- Organizational skillsintermediate
- Time-managementintermediate
- R, Python, SASintermediate
- Databases (Snowflake, Spark)intermediate
- REST APIsintermediate
Required Qualifications
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer focused on Marketing (experience)
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics (experience)
- Thrives in a fast-paced, cross-functional role (experience)
- Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audience (experience)
- Experience building operational dashboards and automated reporting (experience)
- Proficiency in the usage, configuration, and management of: Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio) (experience)
- Proficiency in the usage, configuration, and management of: Analytics tools (e.g., GA4, Adobe Analytics, etc.) (experience)
- Proficiency in the usage, configuration, and management of: Tag management systems (e.g., Google Tag Manager, etc.) (experience)
- Proficiency in the usage, configuration, and management of: Data querying and manipulation tools (e.g., SQL) (experience)
- Experience with marketing automation and CRM platforms (eg. Pardot, Salesforce or similar) (experience)
- Strong problem-solving and critical-thinking skills (experience)
- Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects (experience)
Preferred Qualifications
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- Proficiency with databases and data retrieval, including SQL, Snowflake, Spark and REST APIs (experience)
Responsibilities
- Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing, and validation efforts.
- Serve as the marketing operations contact, partnering with sales operations to better segment our target audiences.
- Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads.
- Translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates.
- Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact
- Monitor campaigns to optimize performance based on industry best practices Translate data into actionable insights and recommendations that help to drive business outcomes.
- Partner with marketing stakeholders to develop robust KPIs and scorecards for marketing performance monitoring
- Produce and maintain metrics reports on marketing and sales activities, effectiveness, and business impact
- Present analysis and findings to a variety of audience
- Evaluate new technologies and add-on applications to improve and optimize marketing team performance
- Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening), with the ability to connect and synthesize insights across these diverse datasets.
Tags & Categories