

Opening for Data Analyst :: Contract :: Richmond, VA (Hybrid)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst contract in Richmond, VA (Hybrid) focused on building data pipelines and business intelligence solutions. Required skills include Spark, SQL, Python, and Databricks. Candidates with previous Capital One experience are preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Richmond, VA
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π§ - Skills detailed
#Data Management #BI (Business Intelligence) #Spark (Apache Spark) #Databricks #Databases #Visualization #AWS (Amazon Web Services) #Scala #Data Pipeline #Data Quality #Data Processing #Data Engineering #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Security #GCP (Google Cloud Platform) #Azure #Spark SQL #Monitoring #Agile #Data Access #Data Analysis #Data Security #Datasets #Python #Snowflake #Compliance #Cloud
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, SOHO Square Solutions, is seeking the following. Apply via Dice today!
β’ Notes: Candidates with Previous Capital One experience will be preffered.
Job Title: Data Analyst
Location: Richmond, VA (Hybrid)
Job Type: Contract
Job Description:
We are seeking a Data Analyst for a short-term contract focused on building data pipelines, data management, and business intelligence solutions to support our data-driven initiatives. The ideal candidate will leverage modern data technologies to extract, process, and visualize complex datasets, ensuring data quality and enabling self-service analytics across the organization.
Key Responsibilities:
β’ Utilize Spark, SQL, Python, and Databricks to mine and process complex, diverse data from Onelake, Snowflake, and various databases/platforms.
β’ Build robust, well-managed data pipelines and solutions to support scalable self-service frameworks for business data consumers.
β’ Collaborate with technical teams to manage data access governance and implement security mechanisms.
β’ Develop and execute tools to monitor, assess, and report on data quality.
β’ Create metrics, dashboards, and visualizations to provide actionable insights to stakeholders.
β’ Communicate effectively with cross-functional teams, translating technical concepts for business stakeholders.
Required Skills:
β’ Hands-on experience with Spark, SQL, Python, and Databricks for data processing and pipeline development.
β’ Experience with Snowflake, Onelake, or similar data platforms.
β’ Proven ability to build and manage ETL pipelines and scalable data solutions.
β’ Familiarity with data quality monitoring and governance best practices.
β’ Proficiency in creating dashboards and visualizations using BI tools.
β’ Strong communication and interpersonal skills.
Preferred Skills:
β’ Experience working within Agile environments.
β’ Exposure to cloud data ecosystems (Azure, AWS, or Google Cloud Platform) for data engineering tasks.
β’ Knowledge of data security and compliance practices.