NCDIT - Data Analyst

RICEFW Technologies Inc; Wake Forest (NC); Híbrido; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

RICEFW Technologies Inc is seeking a Data Analyst for a hybrid role in the United States. You will work with Databricks and PySpark to analyze data, create dashboards, and ensure data quality, collaborating with a technical lead and stakeholders.

You will design data mappings, develop business requirements, and contribute to data products and APIs using Power BI and Databricks visualization. The role emphasizes data-driven decision making.

Formación

• 5+ years of data analytics with Databricks and PySpark.
• Strong experience in Spark SQL and data visualization with Power BI.
• Experience building data mappings and data models.
• Experience collaborating with stakeholders and engineers.
• Experience with data quality and data governance.

Responsabilidades

• Conduct comprehensive data analysis and create data mappings.
• Develop dashboards and ensure data quality and integrity.
• Query large datasets using Spark SQL in Databricks.
• Collaborate with data engineers to deliver data products.
• Design dashboards with Power BI or Databricks visualization tools.
• Build Gold-layer data products for dashboards, APIs, and UI tools.
• Create documentation for pipelines, mappings, models, dashboards.
• Perform statistical analysis, data mining, and machine learning to uncover insights.

Conocimientos

Databricks

PySpark

Spark SQL

Data viz

Data mapping

Stakeholder collab

Data quality

Herramientas

Power BI

Databricks viz tools

Descripción del empleo

Data Analyst

This is a hybrid position. The manager is unsure how often he will need the contractor onsite, but the maximum requirement would be three days a week on Tuesday, Wednesday, and Thursday.

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

Required/Desired Skills

• SkillRequired /DesiredAmountof ExperienceDatabricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation.Required5Years
• Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks.Required5Years
• Data visualization and dashboarding:building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insightRequired5Years
• Data mapping and modeling: developing detailed mappings that integrate and transform dataRequired5Years
• Business requirements and stakeholder collaboration: gathering and developing business requirementsRequired5Years
• Data quality and analysis: conducting thorough data analysisRequired5Years