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Acorns

Micro-investing platform with roundup investing

Data Analyst 2

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience in marketing analytics, media measurement, or a related field, with a track record of driving strategic marketing decisions.
  • Hands-on experience designing and running geo holdout tests or comparable geo-based incrementality methodologies.
  • Experience building marketing forecasting models, such as spend/response, marketing mix modeling, or channel-level forecasting.
  • Expertise in experimentation methodology, A/B testing, hypothesis testing, sample estimation, and statistical power analysis applied to marketing.
  • Advanced proficiency in SQL and Python within cloud data environments such as Databricks and BigQuery.
  • Hands-on experience with marketing measurement tools and platforms, such as marketing mix modeling or incrementality platforms and advertising platform reporting like Google or Meta.
  • Strong intuition for marketing and customer psychology, particularly how channel and campaign decisions affect acquisition and retention.
  • High autonomy and project management skills, with experience driving complex analytics projects from discovery through implementation.
  • Commitment to formal mentorship and technical leadership, helping peers improve through shared frameworks and best practices.

Responsibilities

  • Drive marketing analytics strategy across experimentation, forecasting, and incrementality testing, partnering with Marketing and third-party agencies to define test scope, prioritization, and success metrics during planning.
  • Design and run geo holdout tests and other incrementality methodologies to measure marketing lift and isolate channel and campaign impact from baseline demand.
  • Collaborate with Data Science to maintain current priors and data inputs for marketing mix modeling, ensuring accurate and actionable outputs.
  • Set standards for sample sizes, statistical power, confidence intervals, test design, and post-experiment analysis, and oversee end-to-end marketing experimentation strategy.
  • Develop forecasting models for marketing performance and spend efficiency, incorporating seasonality, channel saturation, and macro trends to inform budget allocation.
  • Query large-scale data platforms such as Databricks and BigQuery, alongside marketing and media data sources, to identify channel inefficiencies, investigate anomalies, and develop strategic hypotheses for cross-functional partners.
  • Use artificial intelligence tools and agent-based workflows to streamline data extraction, automate repetitive analyses, and improve engineering and analytical throughput.
  • Serve as a subject matter expert and mentor to junior and mid-level analysts, elevate analytical rigor, conduct code reviews, and foster a strong data culture.

About the Company

Acorns

Micro-investing platform with roundup investing

Acorns simplifies investing by automating micro-investing through round-ups. It lets users link cards, rounds up purchases to the nearest dollar, and invests the difference automatically. It also offers retirement accounts and checking accounts, plus educational content. Revenue comes from a monthly subscription ($1–$5) and brand partner cashback that is reinvested. The platform targets beginners and people who prefer a hands-off approach to finances, making investing accessible even with small amounts of money. Key differentiators include a structured subscription model, automatic spare-change investing with cashback reinvestment, and partnerships with financial experts for guidance. The goal is to help everyday people grow wealth over time with simple, automated tools and trusted financial education.

Company size
501-1,000
Company stage
IPO
Headquarters
Irvine, CA
Founded
2012

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