Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 7 day((s))
Skills
SQL
1. Use digital technologies like Spark
Python and Databricks to mine complex and different varieties of data sources from databases
Onelake
Snowflake and platforms 2. Build well-managed data solutions and capabilities to enable self-service frameworks for data consumers 3. Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance 4. Build a
Job Details
*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:
- Utilize Spark, SQL, Python, and Databricks to mine and process complex, diverse data from Onelake, Snowflake, and various databases/platforms.
- Build robust, well-managed data pipelines and solutions to support scalable self-service frameworks for business data consumers.
- Collaborate with technical teams to manage data access governance and implement security mechanisms.
- Develop and execute tools to monitor, assess, and report on data quality.
- Create metrics, dashboards, and visualizations to provide actionable insights to stakeholders.
- Communicate effectively with cross-functional teams, translating technical concepts for business stakeholders.
Required Skills:
- Hands-on experience with Spark, SQL, Python, and Databricks for data processing and pipeline development.
- Experience with Snowflake, Onelake, or similar data platforms.
- Proven ability to build and manage ETL pipelines and scalable data solutions.
- Familiarity with data quality monitoring and governance best practices.
- Proficiency in creating dashboards and visualizations using BI tools.
- Strong communication and interpersonal skills.
Preferred Skills:
- Experience working within Agile environments.
- Exposure to cloud data ecosystems (Azure, AWS, or Google Cloud Platform) for data engineering tasks.
- Knowledge of data security and compliance practices.
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