Marketing Science Analyst

Flutter Brazil; Brasil; Híbrido; BRL 180 000 - 270 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Transport allowance

Health insurance

Dental insurance

Meal allowance

Udemy

Life insurance

NSX Care

Growth opportunities

Resumo da oferta

Flutter Brazil is seeking a Marketing Science Analyst to join the Martech team and drive data-driven decision making for Betnacional and Betfair brands. You will turn marketing data into actionable insights, improving customer acquisition, media efficiency, and campaign performance.

The role is hands-on and autonomous, requiring collaboration with Media, CRM, Product, Data, Tech, and Martech teams. You will own analyses from data collection through recommendations in a fast-paced environment.

Qualificações

• 4–5 years of professional experience in Marketing Analytics or related fields.
• Strong familiarity with marketing data, campaign taxonomy, and digital measurement.
• Experience with Databricks or similar data platforms and large datasets.

Responsabilidades

• Analyze and manipulate marketing data to support customer acquisition, campaign performance, and media efficiency decisions.
• Build, maintain, and evolve analytical datasets, tables, and models.
• Partner with Media and Martech teams to evaluate campaigns and optimize budget allocation.
• Advance attribution, MMM, propensity, churn, LTV and other marketing analytics approaches.
• Translate complex data findings into clear, practical recommendations for marketing teams and stakeholders.
• Support experimentation initiatives including A/B tests and incrementality analyses.
• Define data requirements and ensure quality and traceability across datasets.

Conhecimentos

Marketing analytics

Data analysis

SQL

Databricks

English

Formação académica

Bachelor's degree

Ferramentas

Databricks

Descrição da oferta de emprego

Overview of the role: As a Marketing Science Analyst, you will join Flutter Brazil’s Martech team, supporting the Betnacional and Betfair brands. You will play a key role in turning marketing data into actionable insights, helping the business improve customer acquisition, media efficiency, campaign performance, and marketing decision-making.

This is a hands‑on individual contributor role for someone who combines strong analytical skills with a solid understanding of the marketing ecosystem. You will work closely with Media, CRM, Product, Data, Tech, and Martech teams, helping build a more autonomous and data‑driven Martech operation. We are looking for someone who enjoys being close to the business, can navigate a fast‑paced environment, and is comfortable taking ownership of analyses and solutions from data collection through recommendation.

What you’ll do:

• Analyze and manipulate marketing data to support decisions related to customer acquisition, campaign performance, media efficiency, retention, and revenue;
• Work with different marketing data sources, including paid media platforms, CRM, tracking data, offline media, and customer data;
• Build, maintain, and evolve analytical datasets, tables, and models using Databricks and other data tools;
• Partner with Media and Martech teams to evaluate campaign and channel performance and identify opportunities to improve budget allocation and marketing efficiency;
• Support the development and evolution of attribution, incrementality, Marketing Mix Modeling (MMM), propensity, churn, LTV, and other marketing analytics approaches;
• Translate complex data and analytical findings into clear, practical recommendations for marketing teams and business stakeholders;
• Support experimentation initiatives, including A/B tests, holdouts, geo-experiments, and other incrementality testing approaches;
• Help define data requirements and ensure consistency, quality, and traceability across marketing datasets;
• Monitor analytical outputs and models over time, identifying opportunities to improve methodologies, data quality, and business applicability;
• Work closely with CRM, Media, Product, Data, and Tech teams to connect marketing needs with the right data and analytical solutions;
• Contribute to the development of scalable Martech processes, documentation, and analytical routines that enable the team to operate with greater autonomy.

What you’ll bring:

• Around 4 or 5 years of professional experience in Marketing Analytics, Martech, Advanced Analytics, Data Science, Marketing Science, or related areas;
• Strong experience working with marketing data, with a good understanding of areas such as campaign taxonomy, media data, CRM, tracking, customer journeys, and digital marketing measurement;
• Hands‑on experience with Databricks or strong experience with comparable data platforms and the ability to quickly adapt to Databricks;
• Experience collecting, transforming, manipulating, and analyzing large datasets;
• Familiarity with digital media platforms and data from channels such as Google Ads and Meta Ads;
• Knowledge of CRM data and its connection to marketing and customer lifecycle analysis;
• Strong analytical thinking and the ability to connect data findings to practical business decisions;
• Experience working in fast‑paced, highly digital environments such as agencies, apps, e‑commerce, fintech, gaming, telecom, or companies with significant marketing investments;
• Bachelor’s degree in Statistics, Engineering, Mathematics, Economics, Data Science, Computer Science, Marketing Analytics, or a related field;
• English skills that allow you to interact with documentation, technical materials, and global stakeholders. Fluency is not a strict requirement, and we value candidates with strong potential and willingness to continue developing their English.

We require a candidate who has achieved or is capable of the following:

• Works with a high level of autonomy, ownership, and accountability, without depending on constant technical supervision;
• Knows when to move independently and when alignment is needed before making decisions that may impact other teams or the business;
• Is comfortable operating in a dynamic environment where priorities can change quickly;
• Understands marketing beyond the technical side of data and is curious about how campaigns, media, CRM, customers, and commercial objectives connect;
• Can communicate analytical findings clearly to both technical and non-technical stakeholders;
• Demonstrates strong problem‑solving skills and proactively identifies opportunities for improvement;
• Is able to balance analytical depth with execution speed and practical business needs;
• Collaborates effectively across different teams and disciplines;
• Shows curiosity, ambition, and willingness to continuously develop technical and business knowledge;
• Experience with Marketing Mix Modeling, including tools or frameworks such as Meridian, is considered a plus;
• Experience with attribution, experimentation, incrementality, or advanced marketing measurement methodologies is also considered a plus.

Benefits:

• Transportation allowance according to need (for hybrid and in‑person positions)
• Health insurance
• Dental insurance
• Meal allowance
• Access to TotalPass
• Life insurance
• NSX Care
• Financial incentive for learning
• Udemy
• Opportunities for growth in a dynamic and global environment and more