Job description

Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system. Backed by Google's Gradient Ventures, Cathay Innovations, and Scale Venture Partners, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies. If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together. ABOUT THE ROLE The Marketing Analytics role will play a pivotal role in driving growth strategy. Responsible for supporting marketing strategies and execution across paid and organic channels, while owning the data infrastructure, reporting, and analytics that inform and optimize efforts. We're excited to hire this role at Range's office in New York City. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in one of these areas but love what you see, let’s discuss relocation as part of your journey to joining us. RESPONSIBILITIES - Manage and analyze complex datasets. Collaborate with performance marketing teams to optimize campaigns across channels including Meta, Google, podcasts, and other emerging platforms. - Partner with content and organic teams to analyze the performance of SEO and social initiatives, identifying opportunities to improve engagement and conversion. - Develop and refine strategies to target high-value audiences, leveraging insights from contextual and demographic data. - Build and maintain data pipelines to collect, clean, and aggregate marketing data from various sources, including 3rd party platforms (Meta and Google) and internal data warehouses. - Develop and automate reporting dashboards to monitor KPIs and deliver actionable insights to stakeholders. - Perform in-depth analyses of campaign performance, including attribution modeling, A/B testing, and spend efficiency studies. - Write and optimize SQL queries to extract and manipulate data for reporting and analysis. - Perform predictive modeling, campaign forecasting, or creative fatigue analysis (Hill function modeling) using Python. - Collaborate with engineers to enhance data collection processes and ensure data accuracy. - Position requires less than 10% domestic travel. REQUIREMENTS - Bachelor’s degree, or foreign equivalent, in Economics, Statistics, Mathematics, Data Science, or a related quantitative field plus five (5) years of analytics experience. - In the alternative, the business will accept a Master’s Degree in Economics, Statistics, Mathematics, Data Science, or a related quantitative field plus four (4) years of Analytics Experience in a related occupation. - The position requires four (4) years of experience with marketing analytics, specifically emphasizing paid media performance. - The position requires any amount of experience in the following: - Experience with SQL and Python to build data pipelines, extract and clean raw marketing data, and conduct advanced quantitative analysis - Experience with managing and analyzing intricate datasets - Experience with paid acquisition channels, including campaign setup, optimization, and measurement - Experience with HTML - Experience with Metabase, Looker, or similar BI platforms - Experience with performing analytics for both large companies as well as high-growth startups. COMPENSATION Base salary range: $100,000 – $170,000 This is the base salary range we expect in good faith to pay for this role at the time of posting. Where an offer lands within the range depends on the scope and complexity of work the candidate can own independently and demonstrated depth at this level. OTHER COMPENSATION AND BENEFITS The range above reflects base salary only. Our offer packages also include equity in the form of stock options, so total compensation for this role will exceed the base salary range. We do not ask for or consider salary history. You are welcome to ask questions about compensation at any point in the process. BENEFITS - Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage - 401(k): Retirement savings program to support your future - Paid Time Off: Dedicated time to reset and recharge plus most federal holidays - Parental Leave: Comprehensive leave policy for growing families - Meals: Select meals covered throughout the week - Fitness: Monthly movement stipend - Equity & Career Growth: Early exercise eligibility and a strong focus on professional development - Full access to cutting-edge AI tools: We cover the cost so you can experiment, build, and move faster - Annual Compensation Reviews: Salary and equity refreshes based on performance - Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return - Base Salary Compensation: $169,541.00 - $210,000.00 Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.

Requirements

Must-haves

Manage and analyze complex datasets. Collaborate with performance marketing teams to optimize campaigns across channels including Meta, Google, podcasts, and other emerging platforms.
Partner with content and organic teams to analyze the performance of SEO and social initiatives, identifying opportunities to improve engagement and conversion.
Develop and refine strategies to target high-value audiences, leveraging insights from contextual and demographic data.
Build and maintain data pipelines to collect, clean, and aggregate marketing data from various sources, including 3rd party platforms (Meta and Google) and internal data warehouses.
Develop and automate reporting dashboards to monitor KPIs and deliver actionable insights to stakeholders.
Perform in-depth analyses of campaign performance, including attribution modeling, A/B testing, and spend efficiency studies.
Write and optimize SQL queries to extract and manipulate data for reporting and analysis.
Perform predictive modeling, campaign forecasting, or creative fatigue analysis (Hill function modeling) using Python.
Collaborate with engineers to enhance data collection processes and ensure data accuracy.
Position requires less than 10% domestic travel.
Bachelor’s degree, or foreign equivalent, in Economics, Statistics, Mathematics, Data Science, or a related quantitative field plus five (5) years of analytics experience.
In the alternative, the business will accept a Master’s Degree in Economics, Statistics, Mathematics, Data Science, or a related quantitative field plus four (4) years of Analytics Experience in a related occupation.
The position requires four (4) years of experience with marketing analytics, specifically emphasizing paid media performance.
The position requires any amount of experience in the following:
Experience with SQL and Python to build data pipelines, extract and clean raw marketing data, and conduct advanced quantitative analysis
Experience with managing and analyzing intricate datasets
Experience with paid acquisition channels, including campaign setup, optimization, and measurement
Experience with HTML
Experience with Metabase, Looker, or similar BI platforms
Experience with performing analytics for both large companies as well as high-growth startups.
We do not ask for or consider salary history. You are welcome to ask questions about compensation at any point in the process.

Nice-to-haves

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Keywords to mirror

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness

Professional Development