
Leading company in the fintech industry
Media BI Specialist
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About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Ourimpact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the Role
At Nu, paid media is one of our most strategic growth investments. As a Media BI Specialist, you’ll be responsible for measuring, analyzing, and explaining the real impact of those investments.
You’ll join the Media team as an analytics-first role, focused on performance measurement, incrementality, and ROI across the full funnel. Your work will connect paid media data with product usage and financial outcomes, helping define official metrics and guide investment decisions.
It’s a measurement and decision-support role, requiring strong analytical depth, ownership of data and dashboards, and the ability to turn complex analyses into clear recommendations for leadership.
You'll be responsible for Full-Funnel Performance Analysis & Paid Media Measurement
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Analyze awareness, consideration, and performance campaigns across paid media channels, connecting media metrics to real funnel and business outcomes.
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Evaluate CAC, CPA, ROI, payback, marginal efficiency, and internal KPIs (e.g., BHT) by channel, campaign, audience, and time period.
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Go beyond CTR and CPM to assess true value creation and long-term impact.
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Build and analyze cross-sell and retention cohorts by channel and acquisition period.
Media × Product × Business Integration
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Connect paid media performance with product activation, usage, and revenue generation.
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Partner with product, growth, and finance teams to align marketing metrics with business outcomes.
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Support investment decisions with clear, data-backed insights focused on value and incrementality.
Awareness & Consideration Measurement (Business-Oriented)
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Measure the impact of top- and mid-funnel campaigns beyond standard media metrics (reach, CPM, CTR).
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Apply internal methodologies, Marketing Mix Modeling (MMM), and incrementality frameworks to assess real business impact.
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Challenge attribution models and assumptions when they fail to explain observed results.
Modeling, Forecasting & Media Planning
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Develop models for:
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Volume, ROI, and investment forecasting
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Budget allocation and scenario simulations
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Support monthly and quarterly media planning with data-driven recommendations.
Experimentation & Incrementality
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Design, structure, and analyze A/B tests, holdouts, and geo experiments.
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Measure the true incremental impact of campaigns, channels, and audiences.
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Inform decisions to scale, optimize, or pause paid media investments.
Data Governance, Audiences & Reporting
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Guarantee consistency, reliability, and trustworthiness of paid media and business data.
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Own the definition of official media and marketing metrics, including internal KPIs such as BHT.
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Be responsible for audience governance, including targeting audiences, control groups, test bases, and exclusions used across media platforms.
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Define standards for dashboards and reporting, ensuring a single source of truth.
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Produce executive-level reports with clear insights and recommendations for senior leadership.
We are looking for a person who has
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5+ years of relevant experience in marketing analytics, growth analytics, media analytics, or similar roles.
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Strong hands-on experience analyzing paid media performance and large-scale marketing investments.
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Proven experience with incrementality, experimentation, and/or attribution models.
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Advanced proficiency in SQL and BI tools (e.g., Looker, Power BI, Tableau).
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Solid experience with cohort analysis, LTV, CAC, ROI, and funnel metrics.
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Strong foundation in applied statistics and experimental design.
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Ability to translate complex analyses into clear, actionable insights for non-technical stakeholders.
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Business-oriented mindset with a critical approach to metrics and hypotheses.
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Proficiency in English.
Nice to Have
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Experience working closely with paid media platforms such as Google, Meta, or similar ecosystems.
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Background in fintech, digital products, or data-driven growth environments.
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Experience influencing budget allocation and investment decisions at scale.
Our Benefits
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Chance of earning equity at Nubank
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Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
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Public Transportation Commuting Benefit (Vale-Transporte)
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Nu Care – Psychological, Financial and Legal Assistance Program
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Life Insurance
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Medical Plan
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Dental Plan
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Nu Language – Language Course Program
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Nucleo
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Our learning platform of courses
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Extended Parental Leave
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Daycare Allowance
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Parental Consultancy
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Work-from-home Allowance
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Gym Partnerships
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30 days of paid vacation
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Relocation Assistance Package, if applicable
Work Model for this RoleHybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Explore how we build technology at Nubank:
🔗 building.nubank.com.br ↗
🎥 youtube.com/@building.nubank ↗
🎧 Listen to our stories on Spotify ↗
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Nubankについて

Nubank
PublicNubank, doing business outside of Brazil as Nu, is a Brazilian neobank headquartered in São Paulo, Brazil. Although it is not formally part of Brazil’s National Financial System, Nubank operates as a financial and payment institution regulated and supervised by the Central Bank of Brazil.
5,001-10,000
従業員数
São Paulo
本社所在地
$45B
企業価値
レビュー
10件のレビュー
4.0
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
4.3
キャリア
3.4
経営陣
4.0
75%
知人への推奨率
良い点
Good salary and benefits
Great team culture and inclusive workplace
Learning and growth opportunities
改善点
Heavy workload and overwhelming pace
Work-life balance challenges
Long hours during deadlines
面接レビュー
レビュー2件
難易度
3.0
/ 5
期間
21-35週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
TA Interview
5
Team Matching
6
Offer
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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