Data Analyst (Hybrid)

Serigor Inc.; Raleigh (NC); Hybride; USD 65 000 - 90 000; Plein temps

Résumé du poste

Serigor Inc. in Raleigh, NC is seeking a Data Analyst for a hybrid role focused on Databricks, PySpark, and Power BI to deliver data-driven insights.

You will collaborate with a technical lead, gather business requirements, develop data mappings, and build informative dashboards while ensuring data quality across projects.

The 6‑month contract may extend based on performance, offering a chance to work with a cross-functional development team.

Qualifications

• Hands-on experience with Databricks (PySpark) and visualization tools.
• Develop dashboards and data mappings to support business needs.
• Collaborate with stakeholders and technical team to align data solutions.
• Ensure data quality and integrity across datasets.
• Build data products and maintain documentation.
• Perform statistical analysis and ML techniques to derive insights.

Responsabilités

• Conduct comprehensive data analysis, data mappings, and dashboards.
• Query large datasets using Spark SQL in Databricks.
• Collaborate with data engineers to design data products.
• Develop data mappings for integration from diverse sources.
• Design dashboards with Power BI and Databricks visualization.
• Create documentation for pipelines, mappings, and models.
• Perform statistical analysis and machine learning to uncover insights.

Connaissances

Databricks

PySpark

Data analysis

Dashboard development

Stakeholder collaboration

Data quality

Outils

Databricks

Power BI

Spark SQL

Python

Description du poste

Job Title: Data Analyst (Hybrid)

Location: Raleigh, NC
Duration: 06 Months with possible extension

Job Description:

The ideal candidate will have hands‑on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.

Key Responsibilities:

• Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity

• Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
• Collaborate closely with data engineers to design and deliver high-quality data products
• Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
• Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
• Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
• Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
• Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights.

Skills:

• Databricks and PySpark proficiency: hands‑on experience working in the Databricks platform and using PySpark for data analysis and transformation. Required 5 Years
• Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks. Required 5 Years
• Data visualization and dashboarding: building clear, intuitive dashboards in Power BI and Databricks' native visualization tools to communicate insight. Required 5 Years
• Data mapping and modeling: developing detailed mappings that integrate and transform data. Required 5 Years
• Business requirements and stakeholder collaboration: gathering and developing business requirements. Required 5 Years
• Data quality and analysis: conducting thorough data analysis. Required 5 Years