**Welcome to OpenCircle!** At OpenCircle, we believe in the power of collaboration, innovation, and continuous growth. We are on an exciting journey to transform the world through software—and you can be a key piece of this mission. **Who We Are** We are a technology company specializing in Systems Development, offering a comprehensive portfolio for digital transformation, with a focus on innovation and tangible results. Our purpose is to be the world’s best Technology Consulting firm, delivering an extraordinary journey for our clients. **Our Values** Deadlines Are Sacred: We meet deadlines with excellence, recognizing their importance to our clients’ success. We Are Accountable for Our Actions: We fully assume responsibility for our decisions and outcomes. We Act with Transparency: Open and honest communication to ensure clarity and trust. We Focus on Results: We deliver impact and quality, exceeding expectations. We Put Ourselves in Others’ Shoes: We practice empathy, considering others’ needs. We Pursue Excellence: We constantly surpass our own standards. We Are Fully Committed: We demonstrate unwavering dedication to our goals and clients. We Are Ambitious and Passionate About the Journey: Our motivation stems from passion for what we do. * **What We Do** We were born to bring innovation and the best technology into companies, simplifying people’s daily lives.**Our Services** Managed Squads: Dedicated teams for complex projects. Talent Allocation: Experts to strengthen our clients’ teams. Project Studios: End-to-end solutions—from planning to execution. Managed Services (AMS): Ongoing support for IT operations. Open as a Service (OaaS): Access to OpenCircle’s complete technology ecosystem. **Our Studios** Digital Studio Mobile, Web, and Modern Apps development. Cloud & DevOps for scalability. Solution Architecture, Quality Assurance, and Low-Code Apps. Innovation Studio Product Management. Agile Methodologies. User-Centered Design. Data AI & Automation StudioData & Analytics. Artificial Intelligence (AI). Robotic Process Automation (RPA). **What We’re Looking For** We seek a Senior Data Analyst with a hands-on profile to work on data manipulation, cleansing, and integration—structuring databases and transforming information into indicators, reports, and dashboards that support business decisions. The candidate will handle files (CSV/Excel), intermediate/advanced SQL, and possess basic knowledge of Data Lake on S3. **️ Your Day-to-Day Will Include:** Importing, processing, and manipulating data from Excel, CSV, and other files. Conducting data cleansing/quality assurance: standardization, deduplication, validations, and correction of inconsistencies. Executing SQL queries and analyses (intermediate/advanced), including joins, aggregations, and optimizations for reliable data extraction. Supporting Data Lake initiatives on S3, understanding structure, reading, and basic organization of stored data. Building and maintaining dashboards and reports, with analytical insight and a focus on data storytelling. Matching and integrating data across multiple sources, ensuring coherence and traceability. Structuring relational models (entities and relationships) aligned with the business domain, translating requirements into consistent models. Proposing and monitoring KPIs/indicators, ensuring clear and actionable interpretation for business areas. **✅ Bonus Points If You Have:** Practical experience with AWS S3 / Data Lake (even at a basic level). Familiarity with data quality and governance best practices (validations, versioning, data dictionaries). Experience with BI tools (e.g., Power BI, Looker Studio, Tableau—according to the company’s tech stack). **What You’ll Find Here:** A collaborative culture, with a strong sense of cooperation and unity across all teams. Respect for diversity. Sharing of experiences and knowledge across departments. Encouragement of innovation. A flat, dynamic work environment. Flexible working hours. Join us and be part of this incredible journey! Welcome aboard, Green Blood! Together, we go beyond. Requirements: Solid Excel experience for analysis (tables, validations, advanced filters, database organization). Minimum ongoing undergraduate degree in related fields. Experience handling structured files and data (especially CSV): reading, transforming, and quality control. Intermediate/advanced SQL (joins, CTEs, aggregations, window functions as a plus). Experience building dashboards/reports and visual analysis for generating insights. Knowledge of relational modeling, with ability to map business entities and relationships. Analytical, organized profile, detail-oriented, and capable of clearly explaining results.