Sales Operations Analyst

Job Title: Sales Operations Analyst IIPay Range: $30-$36/hrDuration: 6 Months ContractLocation – Remote working ET or PT.Interview Process

First – initial screening

Final - Final – Will include craft exercise

Could be a final confirmation interview.

Top SkillsMUST HAVE – SalesforceMUST be highly organizedMUST - Highly efficient at Scrubbing manipulating large data sets.MUST - Data Quality experts (Data manipulation – data uploads and data quality)

The Sales Operations Analyst at Mailchimp leads strategic, data-driven processes by applying data manipulation and reporting techniques to inform lead management.

This role involves collaborating with sales support functions, maintaining lead management sales processes, and utilizing tools like SQL, MS Excel, Google Sheets, and Salesforce.

The analyst generates insights from sales data, manages operational tasks, and develops processes for lead management.

Collaborates regularly with other functions supporting sales

Support the launch and maintenance of sales processes which drive efficiency and effectiveness

Using a combination of SQL, MS Excel, Google Sheets, and/or Salesforce to develop, maintain, and automate insights on: lead management and sales activities

Monitor, investigate, and analyze multiple kinds of sales data sets to provide a complete picture of sales productivity, sales revenue, sales campaigns, and/or sales activities.

Packages up requests from the sales organization and follows internal processes to deliver them

Manage multiple sales operational tasks to deadlines; communicate progress at regular intervals

Develop narratives and recommendations from analyses, build presentations, and present findings to business stakeholders

3-5+ years’ experience in operations role (sales operations, revenue operations, sales support)

2 + years’ experience as Salesforce “power user” to build reports and dashboard

Experience with data management and data delivery,

Experience with business intelligence, and visualization tools e.g. SQL, Salesforce, Excel/Sheets, Looker, Power Bi, or Tableau

Can pull sales insights from complex data sets, communicating results with clarity and provide recommendations to the business