Responsibilities:

• Collaborate with Marketing leadership to build models, reports, and KPIs that lead to impactful insights to maximize the effectiveness of marketing programs.
• Collaborate with Sales and Business Intelligence teams to design, build, and implement base data sets that will drive the organization towards operational alignment resulting in successful data driven results.
• Build connections between marketing data sources (Salesforce, Google Analytics, Marketo) and a data analytics tool (Tableau, Snowflake, Business Objects, etc.)
• Validate data accuracy and fix the source of the problem when issues arise. 
• Perform data enrichment & cleansing on the Marketing database as needed.
• Determine how to best match/target marketing programs to segments of our database.
• Create calculated fields in data sets using formulas or SQO.
• Drive interpretation, socialization, enablement, and adoption of all marketing analysis at IC through Executive levels.
• Prepare and present monthly/quarterly dashboards that help optimize marketing investments, score leads, and determine the effectiveness of marketing initiatives.
• Develop graphs, reports, presentations, and dashboards to track key success metrics for the Marketing team and executive leadership.

Qualifications:

• 5+ years of experience analyzing large datasets; in marketing operations, digital operations, revenue operations.
• Understanding of the marketing, sales, and channel funnel.
• A self-starter and true team player able to work independently and brings a positive attitude.
• Highly detail-oriented individual who has the ability to influence cross-functional teams.
• Proven ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects.
• Understanding of Salesforce Lead, Contact, Account, Opportunity, and Campaign Member data. 
• Ability to present clear and concise reports/infographics/charts to various audiences; experience with visual reporting and data visualization tools.
• Strong presentation skills that illuminate data insights in ways that ordinary (non-analytics) people can relate to it and use it to improve performance.
• Exceptional technical aptitude, qualitative analytical and advanced problem-solving skills with a deep understanding of using data to improve pipeline creation.