The Data Analyst (Data Graph Solutions) position at RDIO TECH is seeking a talented Data Engineer to join our exceptional team of professionals. As a Data Analyst, you will be responsible for conducting exploratory analysis on graph data to identify patterns, connections, and relevant insights for the business. You will develop and execute queries in graph languages such as Cypher and GSQL to extract specific information and address business inquiries. Additionally, you will visualize graph data using appropriate tools like Neo4j Bloom, Gephi, or Python libraries to effectively communicate insights. Collaboration with data engineers to refine graph models and ensure data availability and quality is also a key aspect of this role. Identifying opportunities to apply graph analysis in various business domains to solve problems and optimize processes will be part of your responsibilities. Moreover, creating reports and presentations based on graph analysis, translating technical results into actionable insights for non-technical stakeholders is crucial. Staying updated on trends and best practices in graph analysis and data technologies is also expected. The ideal candidate should have proven experience in data analysis, with the ability to derive insights from large volumes of data. Practical knowledge of graph databases and their query languages (e.g., Cypher, GSQL) is essential. Proficiency in data visualization tools, preferably with experience in graph visualization, is desired. Strong SQL skills and experience with other programming languages (e.g., Python, R) for data analysis are required. The ability to identify and resolve data issues, including anomalies and inconsistencies in graph structures, is a must. Excellent communication and presentation skills, with the capability to articulate complex insights clearly and concisely to diverse audiences, are necessary. An analytical mindset and curiosity to explore data and discover hidden relationships are valued. A background in related fields such as Statistics, Data Science, Mathematics, Engineering, or equivalent is preferred. This position offers a hybrid work mode (3 days in office, 2 days remote) and is based in Barueri, SP. Proficiency in English (B2-C2 level) for effective communication is required. The contracting options available are PJ or Cooperated. If you believe you meet the qualifications and are excited about the opportunity to contribute to our team, we encourage you to apply for the Data Analyst (Data Graph Solutions) role at RDIO TECH.,
As a Data Steward Consultant at RDIO TECH, you will be a key member of our exceptional team working on a strategic large-scale project. If you are a highly qualified professional with experience in data stewardship and are seeking a challenging opportunity, we are looking forward to meeting you! **Role Overview:** You will be responsible for the following key tasks: - **Data Onboarding:** Collaborate with Data Architects to design and document data schemas, data lineage, and metadata dictionaries. Serve as the subject matter expert for data assets, provide training materials, and user guides on data structure and usage. - **Data Quality:** Utilize data platform and cloud capabilities to implement data quality measures and continuous processes to monitor and track quality at various data touch points. Proactively monitor data quality, investigate issues, and assess their size, breadth, and impact. - **Data Governance:** Partner with the Compliance team to ensure compliance with regulatory and customer agreements. Support data asset access management process, review data usage regularly, and resolve conflicts with compliance team. Drive best practices and implement data usage policies. **Key Responsibilities:** - Bilingual in English & Portuguese - Bachelor's degree in business administration, information management, finance, statistics, analytics, engineering, or related field, or equivalent experience - Minimum 7+ years of experience in process development within a data management environment - Experience working with Data Schemas and Data formats such as JSON, Parquet, AVRO etc. **Qualifications Required:** - Highly proficient with data handling/quality tools (SAS, SQL, DataStage/InfoSphere, DataLever/RedPoint DM, Spotfire, Tableau, or other industry-standard tools) - Strong proficiency with SQL for running ad hoc queries and conducting analysis At RDIO TECH, we connect top professionals with the best opportunities. If you resonate with this profile and seek a challenging role in a company that values talent and innovation, apply now! (Note: The additional details of the company were not provided in the job description.),