Role Description As a Data Analyst II, you will manage, maintain and monitor master data and costing quality. Responsibilities include: - Monitoring the input practices for mastering data and guaranteeing proper data entry. - Maintaining and creating master data records in accordance with Insight policies. - Acting as a subject matter expert and escalation point within the organization. - Engaging in projects with cross-functional team members. - Training and guiding team members on master data and costing policies and procedures. - Looking for efficiencies and analyzing patterns in current processes. - Backing up other team members in their absence by having knowledge of their programs and job functions. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Qualifications - Associates degree or above from a college or university; or 3 years industry work experience. - Advanced spreadsheet skills. - Ability to analyze and troubleshoot information for resolution. - Ability to work well in cross-functional teams. Benefits - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. - Core values of Hunger, Heart, and Harmony, guiding relationships with teammates, partners, and clients.

• Manipulate databases • Communicate with clients to understand areas where we can contribute to their business • Combine internal solutions or create new ones, applying a variety of techniques and with the freedom to propose new approaches • Develop ad hoc studies and statistical analyses • Interpret the results obtained and assess how they apply to clients' problems • Interact with various Serasa departments and external clients

• Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects. • Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground. • Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually. • Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story. • Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team. • Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases. • Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery. • AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment. • Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role. • Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time.

• Partner with trading partners to understand business and data integration requirements during implementation and onboarding. • Analyze incoming customer data and perform gap analysis to identify discrepancies, missing information, and opportunities for improvement. • Configure and implement customer integrations using existing proprietary data mapping and transformation requirements. • Communicate integration specifications to customers and business partners, recommending enhancements to file layouts, naming conventions, and data structures when needed. • Collaborate closely with Software Development and Product teams to support enhancements to existing integrations and implement new capabilities. • Validate imported data to ensure accuracy, completeness, and successful processing. • Monitor daily automated data integrations across more than 460 business partners, proactively identifying and resolving data issues. • Investigate and troubleshoot data integration failures, working directly with internal teams and external partners to drive timely resolution. • Support internal and external customer inquiries related to data transformation, file processing, and integration workflows. • Prioritize multiple implementation projects and support requests while meeting established business deadlines. • Contribute to continuous improvement initiatives that enhance integration processes, data quality, and customer experience.