Data Analyst

Meter sells networks the way utilities sell power: as something that just works. Behind that promise is a business growing fast across enterprise customers multi-site deployments and a partner ecosystem.

Right now the data that runs the business is scattered across a dozen systems that dont talk to each other. This role fixes that.

Why this role matters

Every important decision at Meter where to spend marketing dollars which accounts to prioritize how to forecast next quarter is only as good as the data underneath it. Today that data is fragmented across Salesforce HubSpot Stripe ad platforms partner systems and product telemetry and every team rebuilds its own version of the truth. We need one person to own the layer that turns those signals into something the company can actually run on.

What youll do in your first six months

• Ship canonical dbt models for accounts opportunities marketing touches and revenue that finance sales and marketing all use replacing the four versions of ARR by segment floating around today.

• Cut the time it takes the marketing team to answer is this channel working from a week of manual reconciliation to a query.

• Build the attribution and funnel layer that lets us actually compare the cost of acquiring a customer through partners versus paid versus outbound.

• Become the person GTM leadership goes to when they dont trust a number and the person whose work makes that question rarer over time.

What youll do in your first year

While youre picking up quick wins the first few months are about laying the foundation. The next are about using it.

Youll embed with finance during forecasting cycles and with marketing during budget planning. Youll be in the room when sales leadership is debating territory coverage. The business models you built in month four will be the substrate for an attribution rebuild in month nine. By the end of year one youll have set the standard for analytical rigor at Meter; the bar that the next five analysts we hire will be measured against.

What a typical week looks like

Monday morning youre pairing with a marketing lead on why their LinkedIn spend report doesnt match what finance recognized last quarter. Tuesday youre shipping a dbt PR that consolidates three definitions of active customer into one. Wednesday youre in the forecast review watching the head of sales argue about coverage ratios and you realize the underlying data has a fanout problem you can fix by Friday. Thursday is deeper IC work: designing the schema for a new partner data source. Friday youre reviewing a teammates model and writing the test that catches the next regression before it ships.

What were looking for

• Youve been the analytical partner inside a GTM function not just the analyst who delivered reports to one. Youve sat in pipeline reviews argued about attribution definitions and built dashboards that executives actually use.

• You write SQL the way most people write English. You reach for window functions CTEs and set operations without thinking. You can read someone elses 200-line query and find the bug in ten minutes.

• You think in dbt. You have opinions about staging vs. marts when to use incremental models and what belongs in a snapshot. Youve designed schemas that survived contact with a changing business.

• Youve worked across Salesforce billing systems marketing platforms and product data and you understand how theyre each subtly wrong in their own way.

• You can take is our marketing spend working and turn it into a structured analysis with a clear defensible answer including what youre not sure about.

• You build trust before you ship models. You know the dashboard nobody uses is worse than no dashboard at all.

• You have deep experience with one or more of the following: Snowflake BigQuery Tableau or other modern data stacks.

Why Meter

The internet runs the world. Every purchase you make video call you join its all packets flowing through networks. But those networks havent changed for decades. Theyre brittle complex and surprisingly hard to set up in an enterprise space.

We started Meter to build better networks. We had to build everything from the ground-up: designing and building our own enterprise hardware intuitive software and streamlined operations to deliver great outcomes for our customers. Today we build and deploy these networks at scale. Ambitious companies and enduring institutions like Bridgewater Lyft Reddit rely on Meter to keep their thousands of employees and locations online and productive.

Our bet with Meter is simple: we will all use the internet more than we do today. We believe we have the definitive networking stack in place to enable business to do so as seamlessly and reliably as any modern utility.

Compensation

• The estimated base salary for this role is between $190000 - $270000

• Additionally this role is eligible to participate in Meters equity plan.

By applying to this job you acknowledge that youve read and understood Meters Job Applicant Privacy Notice.

Required Experience:

IC