Intuit Inc

Using a combination of SQL, Excel/Sheets, and Tableau, analyze multiple kinds of data sets to provide a complete picture of user behavior. Deep understanding of customer support, sales enablement (Salesforce reporting, lead enrichment, propensity modeling, quota setting, etc) and user behavior data analysis is a plus (Salesforce, Google Analytics, Adobe Analytics, etc.). Advanced knowledge in SQL and experience working with cloud based data warehouses (Google BigQuery, Redshift, or Snowflake). Demonstrated experience with data visualization tools (Tableau/Looker) and dashboard development for executive and customer-facing teams. Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.

staff analyst

We’re looking for a Staff Analyst to join the Mailchimp Sales Analytics team. You will be responsible for owning key analyses projects, reporting, and processes leading to insights that help drive revenue growth and retain customers. We are seeking a motivated and energetic data analyst to support the growth of the analytics function of this team
As a Staff Analyst on the Sales Analytics team, you will help lead strategic, data-driven decision making at Mailchimp. In this role, you will apply a variety of analytical tools and techniques to conduct analyses to understand and explain customer behavior, business trends, and predict future business outcomes. Your main stakeholders will be the sales, onboarding, customer education teams. You’ll work cross-functionally with, product, finance, marketing, legal, and others -- to support the business on strategic analytics requests and build cross-functional reporting to arm Mailchimp with insights that will help steer our future.
This position is based in Atlanta, GA. We offer relocation.
Responsibilities Analysis & Insights
Build analysis plans individual or team analysis projects
Using a combination of SQL, Excel/Sheets, and Tableau, analyze multiple kinds of data sets to provide a complete picture of user behavior
Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations
Develop data infrastructure guidelines for new customer outreach programs and partner with data teams to implement
Drive methodology iteration and build templates for common analysis projects
Identify and synthesize both quantitative and qualitative research and trends related to the business
Craft narratives and recommendations from analyses, build presentations, and present findings to business stakeholders
Drive Visibility & Decision Making
Lead the development, improvement, and automation of Customer Team Initiative reporting (e.g., Tableau & Looker dashboards, visualizations)
Facilitate insight generation from KPIs, highlighting and decomposing trends and drilling down to identify underlying drivers
Build relationships and provide analytical guidance to business stakeholders and leaders
Functional
Deep understanding of customer support, sales enablement (Salesforce reporting, lead enrichment, propensity modeling, quota setting, etc) and user behavior data analysis is a plus (Salesforce, Google Analytics, Adobe Analytics, etc.)
Expertise in analyzing data from a variety of different sources (quantitative and qualitative), presenting the data in a clear and concise manner, and developing actionable insights
Experience in partnering with and presenting to executive and cross-functional leadership
Strong communication, collaboration, and problem-solving abilities
Technical
Advanced knowledge in SQL and experience working with cloud based data warehouses (Google BigQuery, Redshift, or Snowflake)
Proven experience in stitching together disparate data sources and building data infrastructure, defining KPIs, and tracking business performance
Experience with business case modeling and market/opportunity sizing
Demonstrated experience with data visualization tools (Tableau/Looker) and dashboard development for executive and customer-facing teams
Work/Education
Minimum of 5 years experience in an analytics-focused role. Prior work experience within a SaaS company and sales enablement function is a preferred
Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.

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