Data Analyst

Meter; San Francisco (CA); On-site; USD 190,000 - 270,000; Full time

Benefits offered by this job

Equity plan

Job summary

Meter is seeking a skilled data analyst to unify fragmented data across platforms like Salesforce and HubSpot. This role will establish definitive dbt models for marketing and sales, significantly enhancing data-driven decisions. Ideal candidates will have strong SQL proficiency, analytical experience in a Go-To-Market function, and the ability to navigate complex data systems. The position offers competitive compensation ranging from $190,000 to $270,000, alongside eligibility for the company’s equity plan.

Qualifications

• Experience in an analytical role within a GTM function.
• Strong SQL skills with advanced querying capabilities.
• Familiarity with dbt for data modeling and schema design.
• Proficient in data platforms like Snowflake and BigQuery.

Responsibilities

• Ship dbt models for business insights across teams.
• Reduce manual reconciliation time for marketing metrics.
• Build an attribution layer for customer acquisition comparisons.
• Embed with finance and marketing for collaborative processes.

Skills

Analytical partnership

SQL proficiency

Experience with dbt

Understanding of data flaws

Structured analysis

Trust building

Experience with Snowflake

Experience with Tableau

Tools

Snowflake

BigQuery

Tableau

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 bar that the next five analysts we hire will be measured against.

What a typical week looks like

Monday morning you’re pairing with a marketing lead on why their LinkedIn spend report doesn’t match what finance recognized last quarter. Tuesday you’re shipping a dbt PR that consolidates three definitions of "active customer" into one. Wednesday you’re 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 you’re reviewing a teammate’s model and writing the test that catches the next regression before it ships.

What we're looking for

• You’ve been the analytical partner inside a GTM function — not just the analyst who delivered reports to one. You’ve 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 else’s 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. You’ve designed schemas that survived contact with a changing business.
• You’ve worked across Salesforce, billing systems, marketing platforms, and product data, and you understand how they’re 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 you’re 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.

Compensation

• The estimated base salary for this role is between $190,000 - $270,000
• Additionally, this role is eligible to participate in Meter’s equity plan.