Data Analyst

VIVA USA Inc; Raleigh (NC); Hybrid; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

VIVA USA Inc. is seeking a Data Analyst to leverage Databricks (PySpark) and Power BI to develop dashboards and data products. You will collaborate with stakeholders, define business requirements, and contribute to design discussions with the development team.

The role involves building data mappings, ensuring data quality, and supporting change management documentation while working with a technical lead on data solutions that align with business needs.

Qualifikationen

• Databricks/PySpark experience for data analysis and transformation.
• Strong Spark SQL skills for large datasets.
• Experience building dashboards in Power BI and Databricks visuals.
• Detailed data mappings and data modeling capabilities.
• Gathering and documenting business requirements with stakeholders.
• Experience ensuring data quality and thorough analysis.

Aufgaben

• Conduct comprehensive data analysis, data mappings, dashboards and ensure data quality.
• Use Spark SQL in Databricks to query and analyze large datasets with efficient queries.
• Collaborate with data engineers to design and deliver high-quality data products.
• Develop detailed data mappings to support data integration and transformation.
• Design intuitive dashboards using Power BI and Databricks visualization tools to communicate insights.
• Create data pipelines and Gold-layer data products for dashboards, APIs, and UI tools.
• Document data pipelines, mappings, models, and dashboard functionality.
• Perform statistical analysis, data mining, and ML to uncover patterns and insights.

Kenntnisse

Databricks and PySpark

Advanced Spark SQL

Data visualization and dashboarding

Data mapping and modeling

Business requirements and stakeholder

Data quality and analysis

Tools

Power BI

Jobbeschreibung

This is a hybrid position

Data Analyst

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

Skill - Required / Desired - Amount of Experience

• 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

Notes

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

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status