Data Analyst Digital Marketing

Data Analyst (Digital Marketing) at Cadastra — Research Report

Introduction

The Data Analyst (Digital Marketing) role at Cadastra offers hands-on experience turning raw campaign data into actionable strategies for major brands. With active listings and a "apply now" deadline, this remote position is perfect for students or early-career pros eager to dive into digital marketing analytics. Landing it means building skills that launch careers in high-demand fields like performance marketing and data-driven advertising.

Imagine analyzing Google Ads performance for a Fortune 500 client, spotting trends that boost ROI by 20%—that's the real impact you'll make. This report breaks down everything from Cadastra's inner workings to interview hacks, giving you an insider edge to get hired.

Overview of Cadastra

Cadastra is a global digital marketing powerhouse specializing in performance-driven solutions for e-commerce and retail giants. Founded in Brazil, it now operates across Latin America, Europe, and North America, serving clients like Magazine Luiza and Unilever with data-centric campaigns.

In a crowded field dominated by agencies like WPP and Publicis, Cadastra carves a niche through its proprietary tech platform, Cadastra One, which integrates AI for personalized ad targeting. The company boasts over 1,500 employees and consistent double-digit growth, fueled by e-commerce booms post-pandemic.

Key services include paid media management, SEO/SEM optimization, and customer data platforms, all powered by real-time analytics. Cadastra's market presence shines in Brazil's $10B+ digital ad space, where it holds top-tier status for ROI-focused strategies.

Culture-wise, expect a fast-paced, collaborative vibe with flat hierarchies—remote teams thrive on Slack and Zoom huddles. Employees rave about innovation challenges and client wins on Glassdoor, rating it 4.2/5 for work-life balance. People flock here for the blend of creative freedom and measurable results that pad resumes.

Data Analyst (Digital Marketing) Role

Role Overview

As a Data Analyst in Digital Marketing at Cadastra, you'll dissect campaign metrics to optimize ad spend and drive client revenue. Day-to-day involves querying datasets, visualizing insights, and recommending tweaks that directly impact multimillion-dollar budgets. Your work fuels business growth by proving what works in channels like Google Ads and Meta.

Detailed Responsibilities

• Extract and clean data from platforms like Google Analytics, Adobe Analytics, and Facebook Ads Manager.
• Build dashboards in Tableau or Google Data Studio to track KPIs such as CPC, ROAS, and conversion rates.
• Perform A/B testing analysis to refine targeting and creative strategies for client campaigns.
• Collaborate with media buyers to forecast budgets and predict performance trends using SQL and Python.
• Generate weekly reports highlighting wins, losses, and optimization opportunities for stakeholders.
• Support attribution modeling to credit sales accurately across touchpoints like email and social.

Day-to-Day Workflow

Your morning kicks off with a team stand-up reviewing overnight campaign data—spotting anomalies in traffic spikes or drop-offs. Midday dives into SQL queries on BigQuery to segment audiences, followed by dashboard updates in Looker Studio. Afternoons mean client calls presenting insights, like "This audience segment lifted conversions 15%," and brainstorming tests.

Remote setup shines: async updates via Notion keep everyone synced without Zoom fatigue. Expect 60% analysis, 20% meetings, 20% learning new tools—flexible but deadline-driven during peak campaign launches.

Tools and Technologies

• SQL and Python for data querying and scripting on Google BigQuery or AWS.
• Tableau, Power BI, or Google Data Studio for interactive visualizations.
• Google Analytics 4, Adobe Analytics for web and campaign tracking.
• Google Ads, Meta Business Suite, and The Trade Desk for platform-specific data pulls.
• Excel/Google Sheets for quick pivots; R for advanced stats occasionally.

Skills and Requirements

Technical Skills

Cadastra seeks proficiency in SQL for complex joins and aggregations, plus comfort with Python libraries like Pandas and Matplotlib. Familiarity with digital marketing metrics—think CTR, LTV, and multi-touch attribution—is crucial. Bonus: Experience with APIs from Google or Meta for automated reporting.

Soft Skills

Strong storytelling turns numbers into narratives; you'll present findings to non-technical clients. Curiosity drives digging deeper into "why" behind trends, while adaptability handles shifting campaign priorities. Team players collaborate seamlessly in remote settings, using clear Slack communication.

Experience Expectations

No prior pro experience required—rising juniors/seniors in stats, CS, or marketing programs qualify. Showcase 1-2 personal projects, like a GitHub repo analyzing public ad datasets, or a 3.2+ GPA. Portfolios with dashboards trump GPAs; internships count as relevant if they involved data viz.

Salary and Benefits

For this entry-level remote role, expect $18-25/hour for interns or $55K-70K annualized for full-time juniors, based on Brazil/US market rates adjusted for remote. Competitive with agencies like R/GA, factoring Cadastra's Sao Paulo HQ but global pay scales.

Perks include full remote flexibility, $500 annual learning stipend for Coursera/Udemy, and company MacBooks. Health benefits cover 80% premiums, plus unlimited PTO after probation. Strong full-time conversion: 70% of top interns get offers post-6 months.

Cadastra Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit resume, cover letter, and LinkedIn via Cadastra's careers page or Greenhouse ATS.
2. Screening: HR reviews for keywords like SQL, Google Analytics; 1-2 day phone chat.
3. Assignment: 48-hour take-home analyzing a sample dataset (e.g., build ROAS dashboard).
4. Interviews: 3 rounds—technical with analyst (45 min), behavioral with manager (30 min), culture fit with director (30 min).
5. Offer: Verbal same week, written with negotiation window.

Application Timeline

Apply immediately—listings stay active but fill fast, especially pre-Q3 campaigns. Process spans 2-4 weeks: screening in 3 days, assignment feedback in 48 hours, interviews next week. Summer interns hear by May; full-time rolling year-round.

Screening Methods

Greenhouse ATS scans for "data analyst," "digital marketing," SQL, Tableau. Tailor resumes with metrics from projects (e.g., "Optimized mock campaign ROAS by 25%"). No portfolio mandatory but upload PDF of dashboards to stand out.

Interview Preparation

Example Interview Questions

• "Walk us through analyzing a Google Ads campaign underperforming on conversions."
• "How would you use SQL to find top-performing audience segments from this dataset?"
• "Describe a time you turned data insights into a business recommendation."
• "Explain multi-touch attribution vs. last-click—pros and cons for e-commerce."

How to Answer

Use STAR method: Situation (set context), Task (your role), Action (tools/steps), Result (quantified impact). For technicals, think aloud—e.g., "I'd query with SELECT AVG(ROAS) GROUP BY audience, then viz in Tableau." Practice on Pramp or with peers for 45-min sims.

What Recruiters Evaluate

They prioritize analytical rigor (can you spot flaws in data?) and marketing intuition (do KPIs excite you?). Cultural fit checks remote collaboration and client-facing poise. Top criterion: Initiative—mention self-started projects analyzing real campaigns.

How to Get Selected

Practical Tips

• Customize cover letter naming a Cadastra case study, like their Magazine Luiza wins.
• Build a quick portfolio site with 3 dashboards from Kaggle ad datasets.
• Network on LinkedIn: Message analysts with "Loved your post on GA4 migration—tips for Cadastra apps?"
• Prep assignment rigorously—use public datasets mimicking their stack.

Common Mistakes to Avoid

• Generic resumes lacking metrics; quantify everything (e.g., not "used SQL," but "wrote queries reducing runtime 40%").
• Ignoring marketing context—pure stats whizzes flop without ad jargon.
• Poor take-home polish: Skip error-prone code; include executive summary slide.
• No follow-up: Email thanks recapping a key insight discussed.

How to Stand Out

Create a "Cadastra-ready" project: Analyze a public e-comm dataset, optimize mock ROAS, host on GitHub/Tableau Public. Network via Brazil marketing events or alumni. Tailor submissions with video intro demoing a dashboard—shows remote-ready hustle. Reference their AI tools, proposing integrations.

Final Thoughts

This Cadastra Data Analyst (Digital Marketing) role is your ticket to a thriving career where data meets creativity. With remote access and active openings, now's the time to apply armed with this intel—you're closer than you think. Polish that portfolio, hit submit, and step into a world of high-impact analytics.

Frequently Asked Questions

Q: What is the salary for Data Analyst (Digital Marketing) at Cadastra?

A: Interns earn $18-25/hour remotely; full-time juniors start at $55K-70K, scaling with performance and location adjustments.

Q: How competitive is it to get hired at Cadastra?

A: Moderately competitive—hundreds apply per role, but strong projects beat experience. 20-30% advance past screening with tailored apps.

Q: What skills are most important for this role?

A: SQL, Google Analytics, and dashboard tools top the list; pair with marketing metrics knowledge and clear communication for the win.