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Data Analyst with SAS and Snowflake
•29 days ago
| Estimated Pay | $28 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | West McLean, Virginia |
Compare Pay
Estimated Pay We estimate that this job pays $28.48 per hour based on our data.
$22.64
$28.48
$40.23
About this job
Job Description
Job Description
Role: Data Analyst with SAS and Snowflake
Location: McLean, VA
Duration: Long term
Rate: Market
Detail Job requirement:
As a Senior Data Analyst, you'll use your experience and skills to contribute to the quality and implementation of our software products for our customers.
What You'll Get to Do: SAS implementation experience is must.
- Participate in the build out of strategic data platforms which entails collaboration with our business and technology partners to build out a robust, scalable data environment
- Partner with client analytic groups to understand business specific data sources, data elements, relationships, and their applicability
- Translate high level business requirements into fully realized, end-to-end analytical solutions
- Identify opportunities & applications for advanced analytics and reporting across the business-aligned testing teams
- Partner with clients to expand machine learning, natural language processing, and automation capabilities
- Conduct exploratory analysis to achieve a strong foundational knowledge of specific business areas
- Apply statistical and mathematical techniques for risk analysis using tools such as Python, R, and SQL
- Streamline processes and reporting using Python and VBA automation
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
What You'll Bring with You:
- 8+ years in a Data Analytics, Data Mining, Data Science role
- Proficiency in SQL.
- Must have experience working with Agile teams and able to create business and technical user stories in Jira.
- Prefer resources who have Freddie Mac/Fannie Mae experience.
- Familiarity with working on the command line, able to execute python scrips, navigate to log directories to analyse logs.
- Strong analytical skills including the ability to quickly understand a variety of disparate data sources, distill complex data into analysis that drive decisions, and apply business knowledge to derive valuable insights
- Ability to understand and translate non-technical business requirements into technical rules or methodologies
- Ability to quickly learn business operations and processes
- Strong communication skills and ability to articulate complex material to a diverse audience
- Ability to be flexible and adjust plans quickly to meet changing business needs
- Experience coordinating multiple tasks within aggressive time frames
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