UX UI ANALYST III - BEYOND BANKING

📍 Job Overview

Job Title: UX UI Analyst III - Beyond Banking

Company: Inter Carreiras

Location: São Paulo, SP, Brazil

Job Type: Full-time

Category: Data & Analytics / User Experience Operations

Date Posted: 2026-01-08

Experience Level: Mid-Senior Level (4-5+ years)

Remote Status: On-site

🚀 Role Summary

• This role is instrumental in elevating the analytical maturity of UX within the organization, by establishing robust standards and best practices for user experience metrics.

• The analyst will be responsible for transforming complex behavioral data into strategic, actionable insights that directly inform product development and decision-making processes.

• A key responsibility involves identifying opportunities for enhancing user experience through in-depth quantitative data analysis and user interaction patterns.

• This position requires strong collaboration within a strategic triad (UX Writer, UX Researcher, UX Metrics) to triangulate qualitative and quantitative insights, ensuring a holistic understanding of user behavior.

📝 Enhancement Note: The job title "UX UI Analyst III" combined with the responsibilities heavily implies a role focused on the operations of User Experience, specifically through the lens of data analysis and metrics. This is distinct from a pure UX/UI Designer role and aligns with Revenue Operations, Sales Operations, or GTM Operations principles by focusing on driving business outcomes through data-informed product improvements. The "III" designation suggests a senior individual contributor role with significant autonomy and potential for mentorship.

📈 Primary Responsibilities

• Lead the development and implementation of standardized UX metrics frameworks and best practices across multiple business units (Loop Points Program, Inter Shop, Investments, Insurance, Digital Goods).

• Conduct advanced analysis of user navigation and interaction data to identify friction points and opportunities for experience improvement.

• Develop and maintain intelligent, self-service dashboards and reports that empower product teams and stakeholders to make autonomous, data-driven decisions.

• Correlate user experience data with key business metrics (e.g., CSAT, SUM, CES) to demonstrate the impact of UX initiatives on overall business objectives.

• Translate complex data findings into clear, concise executive reports and compelling presentations for diverse stakeholder audiences.

• Provide direct guidance and support to Product Designers on interpreting and applying user data to their design processes.

• Collaborate with UX Researchers and UX Writers to integrate qualitative and quantitative findings, creating a comprehensive view of the user journey.

• Support coordinators in defining and tracking user experience-related KPIs that align with strategic business goals.

• Utilize advanced data manipulation and analysis techniques, including SQL and potentially Python/R, to extract and process large datasets from BigQuery.

• Implement and manage tracking mechanisms using tools like Google Tag Manager and Segment to ensure accurate data collection.

📝 Enhancement Note: The responsibilities clearly indicate a role focused on operationalizing UX insights through data. The emphasis on "elevating analytical maturity," "transforming data into insights," and "building self-service dashboards" points to a proactive, systems-oriented approach that is core to operations roles. The correlation of UX data with business metrics is a critical revenue operations function, ensuring that user experience improvements directly contribute to financial growth and customer retention.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Design, or equivalent.

Experience:

• Minimum of 4-5 years of proven experience in data analysis, with a strong preference for roles focused on User Experience or user behavior analysis.

• Demonstrated success in building executive-level dashboards and comprehensive reports.

• Experience working within Agile environments and collaborating effectively with cross-functional product teams.

• Prior experience in FinTech or with complex digital products is highly desirable.

• Proficiency in implementing and configuring tracking and tagging systems.

Required Skills:

• Advanced proficiency in web analytics tools such as Google Analytics 4, Firebase Analytics, and Adobe Analytics.

• Strong command of data visualization and Business Intelligence tools including Tableau, Looker Studio, and Power BI.

• Expertise in data querying and manipulation using SQL.

• Solid understanding of applied statistics and behavioral analysis methodologies.

• Experience with tag management systems like Google Tag Manager.

• Proven ability to collaborate effectively within multidisciplinary teams.

• Experience with Agile development methodologies and a product-centric approach.

• Strong analytical skills for user behavior analysis and data interpretation.

• Strategic thinking capability to translate data into business recommendations.

• Excellent data visualization skills to make complex insights accessible.

Preferred Skills:

• Experience with experimental methodologies such as A/B testing.

• Certifications in Google Analytics, Tableau, or similar data analytics platforms.

• Previous experience in the financial services or FinTech industry.

• Proficiency in Python or R for advanced data analysis and scripting.

📝 Enhancement Note: The requirements emphasize a blend of technical data skills and strategic thinking, which is common for senior operations roles. The "4-5 years of experience" combined with "UX UI Analyst III" designation points towards a mid-to-senior level individual contributor with a strong track record. The preference for FinTech experience and the mention of specific tools like BigQuery, Segment, and Python/R indicate a sophisticated data operations environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of complex data analysis projects, specifically focusing on user behavior and experience metrics, demonstrating a clear process from data extraction to insight generation.

• Include case studies of dashboards and reports developed, highlighting their impact on product decisions and business outcomes. Quantify improvements where possible (e.g., increased conversion, reduced churn).

• Present examples of custom metric frameworks developed for specific product lines or business challenges, illustrating adaptability and strategic thinking.

Process Documentation:

• Provide documentation or detailed descriptions of your process for transforming raw behavioral data into actionable UX recommendations. This should include data cleaning, analysis methodologies, and insight synthesis.

• Detail your approach to collaborating with Product Designers, UX Researchers, and other stakeholders to integrate data insights into the product development lifecycle.

• Illustrate your methodology for establishing and communicating UX metrics standards and best practices within a team or organization.

📝 Enhancement Note: For an operations-focused role like this, a portfolio demonstrating the application of data analysis to drive business and user experience improvements is crucial. The emphasis should be on the "how" – how data was collected, analyzed, and translated into actionable strategies that led to measurable results. This is akin to a "process portfolio" within operations, showcasing the candidate's ability to build and optimize data-driven processes.

💵 Compensation & Benefits

Salary Range:

Based on market research for a Senior UX UI Analyst / Data Analyst in São Paulo, Brazil, with 4-5+ years of experience, and considering the FinTech industry and the responsibilities outlined, the estimated annual salary range is R$120,000 - R$180,000. This range accounts for the seniority of the role, the specialized skillset required, and the cost of living in São Paulo.

Benefits:

• Vale-alimentação and Vale-refeição (Food and Meal Vouchers)

• Comprehensive Health and Dental Insurance plans

• Life Insurance coverage

• Baby On Board program and dedicated Lactation Room

• Extended Parental Leave

• Childcare/Nanny Assistance and aid for children with disabilities

• Wellhub (formerly Gympass) membership and Inter Running Group

• CARE4U space (Belo Horizonte) offering exclusive self-care services, relaxation areas, games, and a mini-golf course.

• Perks and discounts on the Inter SuperApp, such as Duo Gourmet.

• Access to Inter Prime Card benefits.

Working Hours:

The standard working hours are 40 hours per week. While the role is on-site, there may be some flexibility offered depending on team needs and project demands, allowing for efficient management of data analysis and reporting tasks.

📝 Enhancement Note: Salary estimation is based on general market data for senior data/analytics roles in major Brazilian tech hubs and the FinTech sector. The benefits package provided is extensive, reflecting a strong employer offering that supports employee well-being and professional growth. The standard 40-hour work week is typical, but operations roles often require a degree of flexibility to meet project deadlines and critical reporting cycles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (FinTech) / Digital Banking. Inter is a prominent player in the Brazilian FinTech landscape, operating as a Super App that integrates banking, investments, credit, insurance, and e-commerce. This dynamic industry demands innovation, agility, and a data-centric approach to product development and customer engagement.

Company Size: Inter is a large, publicly traded company with a significant employee base (estimated 5,000+ employees based on typical large FinTechs, though exact numbers from the input are not provided). This implies a structured environment with established processes but also opportunities for impact within specialized teams.

Founded: Inter was founded in 1994, evolving significantly over the years to become a leading digital financial services platform. This long history suggests a company with a strong foundation, adaptability, and a proven track record of innovation in the financial sector.

Team Structure:

• The role sits within the UX team, specifically contributing to the "UX Insights" layer.

• This layer is a strategic triad: UX Writer, UX Researcher, and the UX Metrics Analyst (this role).

• This triad provides analytical support and actionable insights to four key coordination areas: Loop Points Program, Inter Shop, Investments, and Insurance & Digital Goods.

Methodology:

• Data Analysis & Insights: Emphasizes transforming complex behavioral data into strategic, actionable insights using advanced analytics tools and statistical methods.

• Workflow Planning & Optimization: Focuses on identifying opportunities for UX improvement through data analysis and driving product decisions that optimize user journeys and business outcomes.

• Automation & Efficiency: Utilizes tools like Google Tag Manager and potentially scripting (Python/R) to streamline data collection and analysis, and builds self-service dashboards to empower teams, thereby increasing operational efficiency.

Company Website: https://inter.co/

📝 Enhancement Note: The company context highlights Inter as a mature, large-scale FinTech operating a comprehensive Super App model. This implies a sophisticated operational environment where data analysis plays a critical role in driving business growth and customer satisfaction across diverse product lines. The "UX Insights" team structure underscores a commitment to data-driven product development and a collaborative, cross-functional approach to optimizing user experience.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Individual Contributor (UX UI Analyst III). It signifies a mid-to-senior level of expertise, requiring a strong foundation in data analysis, UX metrics, and strategic thinking. The "III" designation suggests a level of autonomy and potentially the ability to mentor junior analysts or lead specific data initiatives.

Reporting Structure: The UX Metrics Analyst is part of a strategic triad (UX Writer, UX Researcher, UX Metrics) that supports various product coordination teams. This individual will likely report to a manager or lead overseeing UX Research & Insights or a broader Product Analytics function. Collaboration with Product Managers, Designers, and Coordinators across different business units will be a daily occurrence.

Operations Impact: The primary impact of this role is on driving product strategy and business growth through data-informed UX improvements. By transforming behavioral data into actionable insights, the analyst directly influences product roadmaps, feature prioritization, and overall customer satisfaction, which in turn impacts key business metrics like customer acquisition, retention, engagement, and revenue. This role is crucial for optimizing the user journey across Inter's Super App ecosystem.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in advanced analytics, statistical modeling, and specific UX metrics frameworks. Potential to lead the development of new analytical methodologies for UX.

• Leadership Potential: Opportunity to mentor junior analysts, lead data initiatives for specific product lines, or transition into a lead analyst or manager role within Product Analytics or Data Science teams.

• Industry Specialization: Gain in-depth knowledge of the FinTech and digital banking sectors, becoming a subject matter expert in user behavior within these complex environments.

• Cross-Functional Exposure: Develop a broad understanding of different product areas within the Super App (Investments, Insurance, Marketplace) and how UX data influences strategy across them.

📝 Enhancement Note: This section focuses on the career trajectory within operations and data analytics. The "III" designation and the scope of responsibilities (supporting four coordination areas) suggest significant growth potential, both in terms of technical deepening and leadership responsibilities. The role is clearly positioned to make a substantial impact on business outcomes through data.

🌐 Work Environment

Office Type: The role is explicitly stated as "On-site," indicating a preference for a physical office presence. This suggests a collaborative work environment where in-person interaction with colleagues is valued.

Office Location(s): São Paulo, SP, Brazil. This is a major metropolitan hub, likely offering a modern office space with amenities designed to foster collaboration and productivity.

Workspace Context:

• Collaborative Environment: The on-site nature, coupled with the role's emphasis on collaboration within the UX triad and with product teams, suggests a dynamic and interactive workspace conducive to brainstorming and problem-solving.

• Operations Tools & Technology: Access to a robust technology stack, including advanced analytics platforms (Google Analytics, Firebase, Adobe Analytics), BI tools (Tableau, Looker Studio), data warehousing (BigQuery), and collaboration tools (Figma, Miro, Confluence).

• Team Interaction: Opportunities for frequent interaction with UX Researchers, UX Writers, Product Designers, Product Managers, and other stakeholders, fostering a strong sense of team cohesion and shared purpose in optimizing the user experience.

Work Schedule: The standard 40-hour work week is typical for on-site roles. While specific flexibility details aren't provided, operations-focused roles often require adaptability to meet project deadlines, support critical reporting cycles, or participate in cross-functional meetings across different time zones if applicable.

📝 Enhancement Note: The "on-site" requirement is key here. For operations roles, this often translates to a more integrated team environment, potentially with better access to physical collaboration spaces and direct interaction with stakeholders, which can be beneficial for complex problem-solving and rapid iteration.

📄 Application & Portfolio Review Process

Interview Process:

• Resume Screening: Initial review to assess alignment with required qualifications, experience, and technical skills.

• Assessments: Likely includes analytical or technical tests to evaluate data analysis, SQL, or data visualization capabilities.

• Talent Team Interview: An initial conversation with HR/Talent Acquisition to gauge cultural fit, communication skills, and general suitability for the role and company.

• Technical Test (if needed): A more in-depth practical assessment, potentially involving a case study or coding challenge focused on data analysis or SQL.

• Leadership Interview: A discussion with the hiring manager or a senior leader to evaluate strategic thinking, problem-solving approach, and alignment with team objectives.

• Offer: Final proposal and negotiation.

Portfolio Review Tips:

• Highlight Problem-Solving: For each project, clearly articulate the business or user problem, the data you analyzed, your methodology, and the actionable insights derived.

• Quantify Impact: Whenever possible, use numbers to demonstrate the positive impact of your work. For example, "Implemented a new dashboard that reduced reporting time by 20%" or "Identified a UX friction point leading to a 15% increase in conversion."

• Showcase Data Visualization: Include examples of dashboards or reports that effectively communicate complex data. Explain your design choices and how they serve the intended audience.

• Demonstrate Collaboration: If possible, include examples of projects where you collaborated closely with designers, researchers, or product managers, highlighting your role in integrating data into their workflows.

• Tailor to Operations: Frame your projects in terms of process improvement, efficiency gains, and their contribution to business objectives, aligning with the operational nature of the role.

Challenge Preparation:

• Data Scenario: Be prepared for a case study or scenario where you'll need to analyze a dataset, identify key trends, and propose UX/product improvements. Focus on your analytical process.

• SQL Proficiency: Brush up on your SQL skills, especially for querying large datasets and performing aggregations.

• Tool Familiarity: Be ready to discuss your experience with the listed tools (GA4, Tableau, BigQuery, etc.) and how you've used them to drive insights.

• Strategic Thinking: Prepare to articulate how UX data can inform broader business strategy and contribute to revenue growth.

📝 Enhancement Note: The interview process outlines a typical structure for a senior technical role in a large organization. The emphasis on a portfolio and potential technical tests highlights the practical, results-oriented nature of operations roles. Preparing to showcase quantifiable impact and a structured analytical process will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Web Analytics: Google Analytics 4 (GA4), Firebase Analytics, Adobe Analytics. Expect proficiency in setting up, configuring, and analyzing data from these platforms to understand user behavior across web and mobile applications.

• Data Visualization & BI: Tableau, NewRelic, Power BI, Looker Studio. Mastery in creating interactive dashboards and reports to present complex data insights in an accessible format for various stakeholders.

• Implementation: Google Tag Manager, Segment. Experience in implementing tracking codes, event tracking, and data layer management for accurate data collection and integration.

• Data Platforms: SQL, BigQuery. Strong proficiency in writing complex SQL queries to extract, transform, and analyze large datasets from BigQuery, a cloud data warehouse. Python/R is desirable for advanced scripting and statistical analysis.

• Collaboration & Design: Figma, Miro, Confluence. Familiarity with these tools for cross-functional collaboration, ideation, and documentation, particularly in the context of product development and UX processes.

Analytics & Reporting:

• GA4, Firebase, Adobe Analytics for granular user behavior tracking.

• Tableau, Looker Studio, Power BI for creating visually compelling and informative dashboards.

CRM & Automation:

• While not explicitly listed as primary tools, understanding how UX data integrates with CRM systems (e.g., Salesforce, HubSpot) or marketing automation platforms could be a plus, especially for correlating user behavior with customer lifecycle stages.

• Experience with data integration tools or methods for connecting disparate data sources would be beneficial.

📝 Enhancement Note: This section is critical for operations roles. The extensive list of tools, especially advanced analytics platforms, data warehousing, and SQL, signifies a data-intensive environment. Proficiency in these tools is non-negotiable and candidates should be prepared to discuss their hands-on experience and how they leverage them for operational efficiency and insight generation.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value is the commitment to using data and analytics to inform all product and business decisions, ensuring objectivity and measurable outcomes.

• Customer Centricity: A strong focus on understanding and improving the user experience, driven by a deep empathy for the customer and a desire to solve their problems effectively.

• Innovation & Agility: Embracing a forward-thinking mindset, encouraging experimentation, and adapting quickly to market changes and technological advancements, characteristic of a leading FinTech.

• Collaboration & Teamwork: Fostering an environment where cross-functional teams work together seamlessly, sharing knowledge and insights to achieve common goals, especially within the UX triad and product teams.

• Efficiency & Optimization: A continuous drive to optimize processes, workflows, and user journeys to enhance both operational efficiency and customer satisfaction.

Collaboration Style:

• Cross-functional Integration: The role is designed to be highly collaborative, working closely with UX Researchers, UX Writers, Product Designers, Product Managers, and Coordinators across different business units.

• Process Review Culture: An environment that encourages open feedback and constructive critique to continuously refine methodologies, data collection strategies, and insight reporting.

• Knowledge Sharing: A culture that promotes the sharing of best practices, learnings from data analysis, and successful strategies for improving UX, likely facilitated through team meetings, Confluence, or internal presentations.

📝 Enhancement Note: The culture and values described align well with a modern, data-driven operations team. The emphasis on collaboration, customer-centricity, and data-informed decisions are hallmarks of successful GTM and RevOps environments. Candidates should highlight how their personal values and work style resonate with these principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Volume: Managing and extracting meaningful insights from large, complex datasets across multiple product lines requires sophisticated analytical skills and efficient processing methods.

• Cross-Functional Alignment: Achieving consensus and driving action based on data insights across different teams and stakeholders with potentially varying priorities can be challenging.

• Measuring UX Impact: Effectively correlating UX metrics with business outcomes (revenue, retention) requires robust analytical frameworks and clear communication of value.

• Keeping Pace with Technology: The rapid evolution of analytics tools and methodologies requires continuous learning and adaptation to maintain best-in-class capabilities.

Learning & Development Opportunities:

• Operations Skill Advancement: Deepen expertise in advanced analytics techniques, statistical modeling, and specialized UX metrics. Opportunity to become a subject matter expert in user behavior analytics for FinTech.

• Industry Conference & Certification: Potential for participation in industry events and obtaining certifications in analytics or UX-related fields to enhance professional development.

• Mentorship & Leadership: Possibility of mentoring junior analysts, leading data-driven projects, and developing leadership skills within the analytics and UX domains.

📝 Enhancement Note: Understanding potential challenges is crucial for preparation. This role's challenges are typical of senior operations and data roles: dealing with complexity, influencing stakeholders, and demonstrating ROI. The growth opportunities are excellent for someone looking to specialize in data-driven UX operations within a leading FinTech.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you transformed complex user behavior data into a strategic recommendation that significantly impacted a product decision. What was your process?" (Focus on the methodology, data sources, insights, and outcome).

• "How would you approach building a self-service dashboard for the Inter Shop team to track conversion rates and identify drop-off points? What key metrics would you include and why?" (Demonstrate understanding of dashboard design, relevant metrics, and stakeholder needs).

Company & Culture Questions:

• "What excites you about Inter's Super App model and how do you see UX data playing a role in its continued success?" (Showcase research and understanding of Inter's business context).

• "How do you approach prioritizing multiple data requests from different product teams with competing deadlines?" (Demonstrate organizational and prioritization skills relevant to operations).

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly outline: Problem Statement, Your Role & Responsibilities, Data & Methodology, Key Insights & Findings, Recommendations, and Impact/Results (quantified!).

• Visualize Your Data: Use screenshots of your dashboards, reports, or visualizations to illustrate your work. Be prepared to walk through them and explain your design choices.

• Tell a Story: Frame your portfolio pieces as narratives that showcase your problem-solving journey and the value you delivered.

• Focus on Operations Impact: Emphasize how your analytical work led to process improvements, efficiency gains, or direct contributions to business objectives.

📝 Enhancement Note: Preparing for these types of questions requires candidates to think deeply about their past experiences and how they align with the operational and strategic demands of the role. Quantifiable results and a clear, structured approach to problem-solving will be key differentiators.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Greenhouse application portal.

• Tailor your resume: Highlight experience with the specific tools and methodologies mentioned (GA4, Tableau, SQL, BigQuery, Agile, user behavior analysis). Quantify your achievements with metrics whenever possible to demonstrate operational impact.

• Prepare your portfolio: Curate 2-3 strong case studies that showcase your ability to analyze complex data, derive actionable insights, and drive measurable improvements in user experience and business outcomes. Focus on projects demonstrating your analytical process and collaborative approach.

• Research Inter: Familiarize yourself with Inter's Super App offerings, its market position in Brazil, and its company culture. Understand how data-driven UX contributes to its business model.

• Practice your pitch: Be ready to articulate your experience, your approach to data analysis and UX operations, and your understanding of the role's strategic importance during interviews.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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