[Hiring] Data Analyst/Modeler II @TekWissen

Role Description

Data Analyst/Modeler II is responsible for designing and developing interactive dashboards and reports, integrating and modeling data from multiple enterprise data sources, and implementing complex business logic for accurate reporting.

• Design and develop interactive dashboards and reports natively in Databricks, supporting multiple user views, drill-down capabilities, and segmented insights.
• Integrate and model data from multiple enterprise data sources (e.g., Data Hub, operational systems, financial systems, etc.) into a unified reporting layer.
• Implement complex business logic and transformations required to produce accurate, governed datasets for reporting.
• Align solutions to Databricks Lakehouse (medallion) architecture including Bronze, Silver, and Gold layers.
• Collaborate with Enterprise Architecture and Data Architecture teams to ensure adherence to data standards, governance, and modeling practices.
• Partner with Business SMEs to define KPIs, metrics, and reporting requirements and ensure outputs meet executive and operational needs.
• Optimize query performance and ensure scalability of dashboards across large datasets.
• Support iterative development including enhancements, new views, and evolving data requirements.

Qualifications

• Typically [RATE REDACTED]+ years of experience in data engineering, analytics, or data platform development.
• Demonstrated hands-on experience working with Databricks / Spark-based data platforms.
• Proven experience delivering complex, multi-source data integration and reporting solutions in enterprise environments.
• Experience working with integrated data domains (e.g., product, service, resource, or asset/inventory data) is strongly preferred.
• Ability to operate independently in cross-functional environments, engaging with architecture teams and business stakeholders to resolve data gaps and define logic.

Requirements

• Strong hands-on experience with Databricks (Azure/AWS) and Lakehouse architecture.
• Deep understanding of medallion architecture (Bronze/Silver/Gold layers) and data lifecycle management.
• Experience building Databricks SQL dashboards or Databricks-native reporting solutions.
• Proficiency in Spark, PySpark, SQL, and notebook-based development.
• Experience working with multiple heterogeneous data sources across the enterprise.
• Strong skills in data transformation, data modeling, and data pipeline design.
• Familiarity with data normalization, dimensional modeling, and semantic layers.
• Ability to implement complex joins, aggregations, and business rules.
• Proven ability to design multi-view dashboards with drill-downs and segmentation.
• Experience delivering executive-level dashboards and operational reporting solutions.
• Strong understanding of data storytelling and usability.
• Experience working in cross-functional teams with Enterprise Architecture, Data Architecture, and Business SMEs.
• Strong communication skills to translate technical solutions into business insights.
• Experience working in agile or iterative delivery environments.

Benefits

• Equal opportunity employer supporting workforce diversity.