Role: Data Analyst

Location: Pittsburgh, PA/Onsite

Employment Type: Fulltime

Must Have:

• Graph database expertise: A deep understanding of graph database concepts and proven experience  with Neo4j is crucial.
• Query languages: Strong proficiency in the Neo4j query language, Cypher, is required.
• Minimum 9 years of experience is required.
• Programming languages: Skills in Python or Java are often needed for scripting data ingestion, automation, and integrating with other systems.
• Analytical skills: Excellent problem-solving, critical thinking, and analytical abilities for interpreting complex datasets.
• Data warehousing: Experience with cloud data platforms and other databases, including traditional SQL, is often necessary for data integration.
• Data visualization: Experience with data visualization tools like Tableau or Power BI is valuable for presenting findings clearly.
• Domain knowledge: An understanding of the business domain, such as finance or healthcare, is important for contextualizing data and analysis

Roles & Responsibilities:

• Graph data modeling: Design and refine the structure of data as nodes and relationships within a graph database to best serve specific analytical needs.
• Data ingestion and processing: Build data pipelines to extract, transform, and load (ETL) data from various sources into the Neo4j graph database.
• Cypher query development: Write and optimize complex Cypher queries to explore data patterns, find connections, and perform deep-link analysis.
• Graph algorithm implementation: Apply graph algorithms (e.g., centrality, community detection, pathfinding) to answer complex business  questions related to network structures.
• Data analysis and visualization: Perform exploratory analysis and create dashboards, reports, and data visualizations to communicate findings to both technical and non-technical stakeholders.
• Collaboration: Work with other teams, including data scientists, data engineers, and business leaders, to understand data requirements and deliver actionable insights.
• Maintenance and performance tuning: Monitor the performance of Neo4j queries and the overall database and make adjustments for efficiency and scalability.

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