Data Analyst

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