Data Analyst II

Acorns

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Irvine, CA
Salary
$145,700–$171,100 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $140k
This role $158k
$90k $185k
below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $119,500–$160,000 — the blue band above. At the midpoint, this role pays about $158k versus about $140k for comparable roles.

Based on 240 similar postings.

Employer

About Acorns

Acorns is a micro-investing app that rounds up everyday purchases to the nearest dollar and invests the spare change into diversified portfolios, making investing accessible for everyday Americans. Industry: Financial Technology & Micro-Investing

Acorns currently has 3 open roles on FindRole.

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At a glance

TL;DR · Data Analyst II

The Data Analyst II joins the Marketing Analytics team to serve as an experimentation lead and strategic partner. This role involves driving the marketing measurement roadmap, which includes forecasting, incrementality testing, and geo holdout designs to measure true marketing lift. The successful candidate will build forecasting models for spend efficiency, maintain data inputs for Marketing Mix Modeling, and oversee statistical rigor for A/B testing. Key responsibilities include querying large-scale data platforms to identify channel inefficiencies and mentoring junior analysts. Required technical skills include advanced proficiency in SQL and Python within Databricks and BigQuery environments. The role solves the business problem of isolating campaign impact from baseline demand to inform long-term budget allocation and channel decisions across various marketing and media platforms.

What does a Data Analyst earn?

Median $120900 from 80 postings across 23 companies.

See salary data

What you'll do

  • Lead the marketing measurement roadmap by defining test scopes, priorities, and success metrics.
  • Design and execute geo holdout tests and incrementality methodologies to measure true marketing lift.
  • Build and maintain marketing performance and spend efficiency forecasting models.
  • Oversee experimentation strategy by setting standards for sample sizes, statistical power, and confidence intervals.
  • Query large-scale data platforms like Databricks and BigQuery to identify channel inefficiencies and anomalies.
  • Utilize AI tools and automated workflows to streamline data extraction and analytical throughput.
  • Mentor junior and mid-level analysts while conducting code reviews to elevate analytical rigor.

What we're looking for

  • 5+ years of experience in marketing analytics, media measurement, or a related field.
  • Hands-on experience designing and running geo holdout tests or comparable geo-based incrementality methodologies.
  • Experience building marketing forecasting models such as spend/response, MMM, or channel-level forecasting.
  • Deep expertise in experimentation methodology, A/B testing, hypothesis testing, sample estimation, and statistical power analysis.
  • Advanced proficiency in writing SQL and Python within cloud data environments like Databricks and BigQuery.
  • Hands-on experience with marketing measurement tools, MMM/incrementality platforms, or ad platform reporting like Google and Meta.
  • Demonstrated commitment to formal mentorship and technical leadership to uplevel peers through shared frameworks and best practices.
  • High autonomy and project management skills to drive unstructured, complex analytics projects from discovery through implementation.

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