Meter

Engineering

DataAnalyst

$190–270k San Francisco, California, United States; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst at Meter. Skills: dbt, SQL, data modeling, business intelligence. Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue. Cut the time it takes the marketing team to answer 'is this channel working'”

What You'll Achieve.

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; set the standard for analytical rigor at the bar that the next five analysts we hire will be measured against

Industry & Context.

Engineering
Problems you'll solve

fix fragmented data; turn 'is our marketing spend working?' into a structured analysis; fix a fanout problem

What They're Looking For.

Must Have

SQL proficiency, experience with Salesforce, billing systems, marketing platforms, and product data

Nice to Have

Snowflake, BigQuery, Tableau, other modern data stacks

What You'll Do.

Ship canonical dbt models for accounts

Cut the time it takes the marketing team to answer 'is this channel working'

Build the attribution and funnel layer

Become the person GTM leadership goes to when they don't trust a number

embed with finance during forecasting cycles

embed with marketing during budget planning

designing the schema for a new partner data source

reviewing a teammate's model

How You'll Work.

Team & Collaboration

analytical partner inside a GTM function; pairing with a marketing lead; reviewing a teammate's model

Communication Scope

write SQL the way most people write English; read someone else's 200-line query and find the bug in ten minutes; build trust before you ship models

Full Job Description

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 don't 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 YOU'LL 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 don't trust a number — and the person whose work makes that question rarer over time. WHAT YOU'LL DO IN YOUR FIRST YEAR While you're picking up quick wins, the first few months are about laying the foundation. The next are about using it. You'll embed with finance during forecasting cycles and with marketing during budget planning. You'll 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, you'll have set the standard for analytical rigor at Meter; the b

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