Marketing Analytics | Sênior (Remoto)

📌 Core Information

🔹 Job Title: Marketing Analytics | Sênior (Remoto)

🔹 Company: Stone - Linkedin

🔹 Location: Remoto

🔹 Job Type: Full-time

🔹 Category: IT Services and IT Consulting

🔹 Date Posted: 2025-05-30

🔹 Experience Level: Intermediate (2-5 years)

🔹 Remote Status: Remote OK

🚀 Job Overview

Key aspects of this role include:

• Monitoring and optimizing media campaign performance
• Integrating data from various sources to support strategic decisions
• Interpreting key KPIs and generating actionable insights
• Ensuring visibility of results for stakeholders
• Collaborating with cross-functional teams to prioritize initiatives based on impact

ASSUMPTION: This role requires a strong analytical mindset, proficiency in SQL and BigQuery, and familiarity with data visualization tools.

📋 Key Responsibilities

✅ Monitor and analyze the performance of digital media campaigns (Meta, Google, etc.)

✅ Create and maintain automated dashboards using tools like Looker Studio

✅ Conduct deep analyses of channels, audiences, creatives, and conversion journeys

✅ Manipulate large volumes of data using SQL and BigQuery

✅ Develop hypotheses based on data and validate them through A/B tests or comparative analyses

✅ Support the definition of goals and KPIs alongside marketing and business teams

✅ Collaborate with media, CRM, branding, and product teams to prioritize initiatives based on impact

✅ Track and interpret metrics such as attribution, CAC, LTV, and ROI

✅ Create clear and objective documentation of analysis findings

ASSUMPTION: This role requires strong analytical skills, proficiency in SQL and BigQuery, and familiarity with data visualization tools.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Economics, or a related discipline)

Experience: 2-5 years of experience in Marketing Analytics, digital media, or a related field

Required Skills:

• Proficient in SQL and BigQuery
• Familiarity with data visualization tools (e.g., Looker Studio, Power BI, or Tableau)
• Solid understanding of marketing KPIs and conversion funnels
• Ability to translate data into clear and strategic stories for different audiences

Preferred Skills:

• Experience with attribution modeling or marketing mix modeling
• Knowledge of Python or R for statistical analyses
• Familiarity with marketing automation tools
• Experience working in multidisciplinary squads

ASSUMPTION: Candidates should have a strong analytical mindset, proficiency in SQL and BigQuery, and familiarity with data visualization tools. Experience in marketing analytics or related fields is preferred.

💰 Compensation & Benefits

Salary Range: R$ 8,000 - R$ 15,000 per month (based on industry standards for intermediate-level marketing analytics roles in Brazil)

Benefits:

• Health Plan
• Dental Plan
• Digital Hospital
• Meal Voucher
• Gympass
• Childcare Assistance
• Life Insurance
• Transportation Voucher
• SESC Agreement
• Fixed Salary
• Variable Compensation (for some positions)
• Education Benefit

Working Hours: 8 hours per day + 1-hour interval; 5x2 schedule (Monday to Friday)

ASSUMPTION: The salary range is an estimate based on industry standards for intermediate-level marketing analytics roles in Brazil. The benefits listed are based on the information provided in the job description.

📌 Applicant Insights

🔍 Company Context

Industry: IT Services and IT Consulting, focusing on technology and payments

Company Size: 5,001-10,000 employees (mid-sized enterprise)

Founded: 2012, with a focus on serving Brazilian entrepreneurs

Company Description:

• Brazilian and entrepreneurial in spirit, the Stone was founded in 2012 with the belief that the customer is the reason for the company's existence
• In 2018, the company went public on the New York Stock Exchange, with its first client, a Brazilian miner, present at the event
• Today, Stone has over 15,000 employees across Brazil, serving thousands of entrepreneurs from various segments

Company Specialties:

• Tecnologia and Pagamentos

Company Website: stone.com.br

ASSUMPTION: Stone is a mid-sized enterprise focused on serving Brazilian entrepreneurs in the technology and payments industry.

📊 Role Analysis

Career Level: Intermediate (2-5 years of experience)

Reporting Structure: This role reports directly to the Marketing Analytics Manager

Work Arrangement: Remote OK, with periodic visits to the São Paulo office for those residing in the city

Growth Opportunities:

• Potential career progression to Marketing Analytics Manager or similar roles
• Chance to work on high-impact projects and gain exposure to various aspects of the business
• Opportunity to develop skills in data visualization, statistical analysis, and marketing mix modeling

ASSUMPTION: This role offers growth opportunities in terms of career progression, skill development, and exposure to various aspects of the business.

🌍 Location & Work Environment

Office Type: Remote-friendly, with a physical office in São Paulo, Brazil

Office Location(s): Avenida Brigadeiro Faria Lima 3064, São Paulo, SP, BR

Geographic Context:

• Brazil is the largest country in South America, with a diverse economy and a growing tech industry
• São Paulo is the most populous city in Brazil and a major hub for technology and finance
• The Stone's headquarters are located in São Paulo, with employees working remotely across the country

Work Schedule: 8 hours per day + 1-hour interval; 5x2 schedule (Monday to Friday)

ASSUMPTION: The Stone offers a remote-friendly work environment, with a physical office in São Paulo, Brazil. Employees working remotely are based across the country, with the majority residing in São Paulo.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Initial screening by the HR team
• Phone or video call with the hiring manager
• Technical assessment or case study presentation
• Final interview with the team or leadership

Key Assessment Areas:

• Technical skills in SQL, BigQuery, and data visualization
• Analytical mindset and problem-solving abilities
• Communication and presentation skills
• Cultural fit and alignment with Stone's values

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on marketing analytics, digital media, and data manipulation
• Prepare for technical assessments or case studies by brushing up on your SQL and data visualization skills
• Research Stone's company culture and values to demonstrate your cultural fit during the interview
• Be prepared to discuss your approach to data-driven decision-making and problem-solving

ATS Keywords: Marketing Analytics, SQL, BigQuery, Data Visualization, KPI Analysis, Digital Media, Performance Marketing, A/B Testing, Data Manipulation, Collaboration, Statistical Analysis, Marketing Mix Modeling, Python, R, Automation Tools, Teamwork

ASSUMPTION: The application process involves several stages, including an initial screening, phone or video call with the hiring manager, technical assessment or case study presentation, and a final interview with the team or leadership. Applicants should highlight their relevant experience and skills, prepare for technical assessments, and research the company culture to demonstrate their cultural fit.

🛠️ Tools & Technologies

• SQL
• BigQuery
• Looker Studio (or similar data visualization tools)
• Python (optional)
• R (optional)
• Marketing automation tools (optional)

ASSUMPTION: This role requires proficiency in SQL and BigQuery, with familiarity with data visualization tools like Looker Studio. Knowledge of Python, R, and marketing automation tools is optional but may be beneficial.

👔 Cultural Fit Considerations

Company Values:

• Own It: Take ownership and responsibility for your work
• Live the Ride: Embrace challenges and learn from failures
• No Bullshit: Communicate openly and honestly
• Team Play: Collaborate and learn from others
• The Reason: Focus on serving the customer and creating impact

Work Style:

• Data-driven and analytical
• Collaborative and team-oriented
• Adaptable and open to feedback
• Results-focused and proactive

Self-Assessment Questions:

• Do you align with Stone's value of 'Own It' and take ownership of your work?
• Are you comfortable working in a remote or hybrid environment, with periodic visits to the office?
• Do you thrive in a data-driven and collaborative work environment?

ASSUMPTION: Stone values a data-driven and collaborative work style, with an emphasis on ownership, adaptability, and results-focused behavior. Applicants should assess their alignment with these values and work style preferences.

⚠️ Potential Challenges

• Working remotely may require self-discipline and time management skills
• The fast-paced and dynamic nature of the role may present challenges in balancing multiple priorities
• Occasional travel to the São Paulo office may be required for those residing in the city
• Working with large volumes of data may present technical challenges that require problem-solving skills

ASSUMPTION: This role may present challenges related to remote work, balancing multiple priorities, occasional travel, and working with large volumes of data. Applicants should be prepared to address these potential challenges.

📈 Similar Roles Comparison

• This role is similar to other marketing analytics positions but focuses more on digital media and performance marketing
• Compared to other marketing analytics roles, this position requires a stronger focus on data manipulation and statistical analysis
• Career progression in this role may lead to marketing analytics management or similar positions

ASSUMPTION: This role is similar to other marketing analytics positions but has a stronger focus on digital media, performance marketing, and data manipulation. Career progression may lead to marketing analytics management or similar positions.

📝 Sample Projects

• Analyzing the performance of a digital media campaign and optimizing it for better results
• Conducting a competitive analysis of digital media strategies in the industry
• Developing a predictive model to forecast customer lifetime value (CLV) based on historical data

ASSUMPTION: These sample projects illustrate the types of tasks and analyses that may be required in this role, focusing on digital media performance, competitive analysis, and predictive modeling.

❓ Key Questions to Ask During Interview

• What are the most pressing challenges facing the marketing team, and how can this role address them?
• How does this role collaborate with other teams, such as media, CRM, branding, and product?
• What opportunities are there for professional development and growth within the team or the company?
• How does the company support work-life balance for remote employees?
• What is the company's approach to data privacy and security, especially when working with sensitive customer data?

ASSUMPTION: These key questions help applicants understand the role's priorities, collaboration opportunities, professional development prospects, work-life balance, data privacy practices, and other essential aspects of the position.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link: https://job-boards.greenhouse.io/stone/jobs/6581775003
• Customize your resume to highlight relevant experience and skills in marketing analytics, digital media, and data manipulation
• Prepare a cover letter that demonstrates your understanding of the role and your fit with Stone's values and work style
• If applicable, prepare a portfolio or examples of your previous work in marketing analytics or related fields
• Follow up with the hiring manager or HR team one week after submitting your application, inquiring about the status of your application

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.