What are typical organization structures that you’ve seen successful for teams who are working in data and analytics? Like RevOps for ex.

I believe a successful structure requires a robust data analyst on both Marketing and RevOps. The RevOps analyst is very important because they decide, based on the company's revenue goals, how many various SFDC stages are needed to hit that goal. They understand the stages and their progression rates (i.e., Stage 1 to Stage 2 rate, Stage 3 to close) to properly define how many opps are needed to hit their goals. They are too far removed from the marketing operations and marketing campaigns to determine how marketing can properly impact the growth and efficiency of these metrics. 

This is where the marketing analyst comes in. Based on the RevOps' assessment of revenue goals, they have determined the # of sales accepted opportunities, sales qualified leads, marketing qualified leads, and marketing engaged leads are required to hit our goals. The marketing analyst now comes in to properly understand the marketing funnel stage progression rates and the various campaigns that are running to give the numbers a bit of a massage to say, "based on our marketing spend and cost per lead, we will need $X,XXX to hit our goals." They can also understand the seasonality of marketing campaigns and determine when to set goals higher or lower through the year. They will also know that if paid search leads come in at $50 a pop, you can just give marketing $50m to generate 5m leads... there's the knowledge of diminishing returns, total addressable market, and efficiency scale that a marketing analyst that's closer to marketing would know. 

They then work together to come up with the numbers and tell their story to the sales and marketing leaders, who can both agree, based on their push, pull, and ABM strategies, that they are comfortable with the goal, and a partnership is formed. 

I’m approaching this question from the lens of being an SMB organization. This can of course vary between startups, SMBs and enterprises. I’ve seen the typical SMB org structure consist of the following teams to cover data and analytics.

• Revenue operations: Overarching revenue strategy to ladder up to company goals.
• Marketing operations: Ensures that the required tracking is in place to accurately and efficiently measure data.
• Business intelligence: This is the team where I’ve seen the most variance in skills depending on the org. This may consist of a mix of data analysts, data scientists, dataviz developers, marketing analysts, SQL specialists, etc.