• Support exploratory and descriptive analyses of large volumes of user feedback; • Analyze reviews related to image and video quality, camera performance and photographic experience; • Perform manual analyses of user comments to build and validate ground-truth datasets (Ground Truth); • Support validation of classification model quality and summaries generated by LLMs by comparing automated outputs with human evaluations; • Identify patterns, trends and opportunities for improvement based on collected data; • Assist in creating reports, dashboards and executive presentations; • Contribute to automation initiatives and the application of AI in feedback-analysis processes; participate in tests and experiments involving LLMs, prompting, RAG and intelligent agents; • Collaborate with global teams to consolidate and interpret results; • Present analyses and results to national and international stakeholders in Portuguese and English.

Role Description At Pavago, one of our clients is hiring a Financial Analyst / Data Analyst to transform financial and operational data into actionable insights that support strategic business decisions. This role sits at the intersection of finance, analytics, and business strategy, combining financial modeling, forecasting, SQL-based data analysis, and business intelligence reporting. You’ll build dashboards, analyze trends, develop financial models, and provide leadership with accurate, data-driven recommendations that influence company performance. If you’re passionate about turning complex data into meaningful insights and enjoy working with both financial analysis and business intelligence, this is an excellent opportunity to make a measurable impact. Qualifications - 2+ years of experience in Financial Analysis, FP&A, and Data Analytics. - Experience supporting business decision-making through financial and operational analysis. - Advanced Microsoft Excel or Google Sheets skills, including Pivot Tables, INDEX/MATCH, Financial Modeling, and advanced formulas. - Strong SQL skills, including data extraction, joins, and query optimization. - Experience with financial reporting, forecasting, and variance analysis. - Strong analytical and problem-solving abilities. - Excellent written and verbal English communication skills. Requirements - SQL - Microsoft Excel / Google Sheets - Tableau - Power BI - Looker Benefits - High visibility with leadership and decision-makers. - Opportunity to influence business strategy through data. - Strong blend of finance, analytics, and business intelligence. - Exposure to forecasting, financial planning, and executive reporting. - Fully remote work environment with long-term growth opportunities. - Clear career progression into Senior Financial Analyst, FP&A Manager, Business Intelligence Manager, and Finance Manager. Interview Process - Initial Phone Screen - Spark Hire Intro Video (3–5 minutes) - Practical Assessment (Financial Model or Dashboard Exercise) - Final Client Interview - Offer & Background Verification What Happens After You Apply Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you. Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds. Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application. Apply Now If you’re passionate about financial analysis, data analytics, and business intelligence—and enjoy turning numbers into strategic business insights—we’d love to hear from you. Apply today and help drive smarter, data-backed decisions within a growing organization.

• Partner with Revenue Operations, Marketing, Product and VIP to prioritize and execute analytics initiatives focused on player growth and long-term retention. • Manage end-to-end analytics on bonus programs- measuring performance, developing engagement strategies, and optimizing structures for both player value and ROI. • Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities. Translate findings into personalization strategies and product recommendations. • Apply ML techniques and AI tools to accelerate insight generation, build predictive models, and continuously raise the ceiling of what the analytics function can deliver.

Role Description Join our Financial Planning and Analysis (FP&A) Global Delivery team, where you will play a key role in driving financial strategy across our business units. In this internship, you will bridge the gap between finance and technology, with a heavy focus on data analytics, financial reporting, and leveraging AI to drive automation. You will collaborate with our globally distributed team, while working closely with our local colleagues in Brazil. - Build financial automated reports. - Streamline existing analysis processes. - Support the analysis of business Key Performance Indicators (KPIs). Qualifications - Currently pursuing a degree in Computer Science, Computer Engineering, Information Systems, Information Technology, Business Administration, Economics, Accounting, or a STEM field (Statistics, Mathematics, Physics, etc.). - Advanced English proficiency (written and verbal). - Intermediate to advanced proficiency in Excel/Google Sheets (formulas, charts, and pivot tables). - Familiarity with SQL and a general understanding of database concepts. - Experience with AI tools (e.g., Claude or Gemini). - Familiarity with GCP (e.g., Google Connected Sheets, BigQuery, Colab) is a strong plus. - Previous experience or knowledge in Data Science and Data Engineering or knowledge of Python is a strong plus. - Strong analytical mindset and thrive on tackling complex challenges. - Passionate about automating processes and are always looking for ways to make workflows more efficient. - Strong organizational skills and attention to detail. - Ability to manage multiple tasks and deadlines simultaneously. - Comfortable handling operational activities and process-oriented work. - Strong written and verbal communication skills. - Ability to collaborate with different stakeholders. - Proactive, collaborative and eager-to-learn mindset. - Interest in technology and innovation. - Ability to work in a dynamic and fast-paced environment. Benefits - Learning & Development: There is no one-size-fits-all career path at Thoughtworks; however you want to develop your career is entirely up to you. - Career support through interactive tools, numerous development programs, and teammates who want to help you grow. - Value in helping each other be our best, extending to empowering employees in their career journeys. Other things to know - Responsible Use of AI in Recruitment: At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews, and writing job descriptions. - Our AI tools do not screen, assess, rank, or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. - We are committed to fairness and responsible AI, actively managing our AI systems by testing, monitoring for biased outcomes, and implementing mitigation measures. - We hold our third-party vendors to high standards through a rigorous governance process.