Data Analyst (Data Graph Solutions) - Pleno

Role Overview: As a Data Engineer (Data Analyst Graph Solutions) at RDIO TECH, 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 questions. Additionally, you will visualize graph data using appropriate tools like Neo4j Bloom, Gephi, or Python libraries to effectively communicate insights and collaborate with data engineers to refine graph models and ensure data availability and quality. Your role will also involve identifying opportunities to apply graph analysis in various business domains to solve problems and optimize processes, as well as creating reports and presentations based on graph analysis to translate technical results into actionable insights for non-technical stakeholders. Key Responsibilities: - Conduct exploratory analysis on graph data to identify patterns and insights - Develop and execute queries in graph languages (e.g., Cypher, GSQL) to extract specific information - Visualize graph data using tools like Neo4j Bloom, Gephi, or Python libraries - Collaborate with data engineers to refine graph models and ensure data quality - Identify opportunities to apply graph analysis in different business domains - Create reports and presentations based on graph analysis for stakeholders - Stay updated on trends and best practices in graph analysis and data technologies Qualifications Required: - Proven experience in data analysis with the ability to extract insights from large datasets - Practical knowledge of graph databases and query languages (e.g., Cypher, GSQL) - Proficiency in data visualization tools, preferably with graph visualization experience - Strong skills in SQL and experience with other programming languages (e.g., Python, R) for data analysis - Ability to identify and resolve data problems, including anomalies and inconsistencies - Excellent communication and presentation skills to articulate complex insights clearly - Analytical mindset and curiosity to explore data and discover hidden relationships - Background in related fields such as Statistics, Data Science, Mathematics, Engineering, or equivalent Company Details: Omitted as no additional details were provided in the job description.,