range · Marketing Analytics
New York CityOnsite
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Role read
A quick read on what this posting appears to emphasize, based on the employer description and role fields.
Worth noticing
SEO / content
“… and organic teams to analyze the performance of SEO and social initiatives, identifying opportunities to improve …”
Organic traffic and editorial cadence are typical scope.
Marketing ops / analytics
“… new trails together. ABOUT THE ROLE The Marketing Analytics role will play a pivotal role in …”
Systems ownership and reporting usually anchor this work.
Looker
“… - Experience with HTML - Experience with Metabase, Looker …”
SQL
“… spend efficiency studies. - Write and optimize SQL queries to extract and manipulate data for reporting …”
Queries against the data warehouse show up in this listing's stack.
Attribution
“… - Perform in-depth analyses of campaign performance, including attribution modeling, A/B testing, and spend efficiency studies. …”
Where this comes from
Every line below is grounded in the actual posting or in the title, role fields, and seniority tags. Snippets are quoted verbatim; the source tag tells you which part of the listing they came from.
Channels mentioned
… and organic teams to analyze the performance of SEO and social initiatives, identifying opportunities to improve …
Why it matters here: Organic traffic and editorial cadence are typical scope.
… new trails together. ABOUT THE ROLE The Marketing Analytics role will play a pivotal role in …
Why it matters here: Systems ownership and reporting usually anchor this work.
Tools mentioned
… - Experience with HTML - Experience with Metabase, Looker …
Growth stack
Use this posting to prepare
Each subsection below is grounded in something the posting or the role fields actually say. Use them as prompts — not as finished resume copy.
Step 1
Terms in the actual posting. Use these only where they match your real experience.
Compare
Live openings that share a specialty, seniority, work mode, or channel mix with this role. Different companies are favored over same-company roles so the comparison is genuinely useful.
| Role | Company | Specialty | Work mode | Why similar |
|---|---|---|---|---|
| Marketing Analytics Lead New York City, NY; San Francisco, CA | Faire | Marketing Analytics | Onsite |
|
| Marketing Analytics Lead Toronto, Canada | lyft |
range
range has 5 other live roles on this site right now across 5 different role categories. The list below shows what they’re hiring for alongside this posting.
Other live roles
Original employer description
Reproduced verbatim from the employer. Verify everything in this brief against the source text below.
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.
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.
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.
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.
More to explore
… spend efficiency studies. - Write and optimize SQL queries to extract and manipulate data for reporting …
Why it matters here: Queries against the data warehouse show up in this listing's stack.
Success metrics mentioned
… - Perform in-depth analyses of campaign performance, including attribution modeling, A/B testing, and spend efficiency studies. …
… and organic channels, while owning the data infrastructure, reporting …
Responsibility patterns called out
… reporting and analysis. - Perform predictive modeling, campaign forecasting …
Step 2
Worth raising before applying or in the first recruiter conversation.
01Which channels own the largest part of the growth or pipeline target today?
Why ask this: Triggered when paid search or paid social signals appear in the posting. Triggered by the posting’s mention of paid acquisition / demand gen signals.
02Which systems and attribution models are considered the source of truth?
Why ask this: Triggered when marketing ops, attribution, or analytics tooling is named. Triggered by the posting’s mention of marketing ops / analytics tooling.
Step 3
Each angle below starts from a real signal in the posting. The phrase “if this reflects your real experience” matters — don’t invent experience you don’t have.
Angle 01
Marketing ops angle
If this reflects your real background, emphasize: systems ownership (CRM, CDP, automation), data quality, attribution, and reporting, and stakeholder workflows and dashboards
Why we suggest this: posting mentions marketing ops / analytics and attribution.
Angle 02
Analytics / reporting angle
If this reflects your real background, emphasize: data warehouse access and tooling stack, metric definitions and reporting cadence, and attribution and forecasting accuracy
Why we suggest this: posting mentions looker and attribution.
Angle 03
SEO / organic angle
If this reflects your real background, emphasize: technical SEO and content production, organic traffic and pipeline contribution, and tools (Search Console, Ahrefs, Semrush)
Why we suggest this: posting mentions seo / content.
Keyword stuffing, fabricated bullets, or borrowed metrics tend to backfire in the first screen. Use these as a checklist, not a script.
| Marketing Analytics |
| Onsite |
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| Marketing Analytics Manager Berlin | Global Team | pergolux | Marketing Analytics | Onsite |
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| Marketing Analytics Manager Hyderabad, Telangana, India | redwoodsoftware | Marketing Analytics | Onsite |
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| Analyste de Données Senior, Marketing Analytics Montreal, QC, Canada | ubisoft2 | Marketing Analytics | Onsite |
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| Marketing Analytics Analyst Hyderabad, Telangana, India | redwoodsoftware | Marketing Analytics | Onsite |
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Up to two reason chips per row; the strongest match is shown first.
Apply before August 22, 2026.