Senior Data Analyst
Job Description
Job Description
Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.
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If you are a Senior Data Analyst Platforms looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
Role: Senior Data Analyst
Location: Washington,DC
Exp: 5+ Years
We are looking for a Senior Data Analyst who brings practical knowledge of Agile methodologies , strong technical skills, and a passion for data-driven decision-making. In this role, you’ll partner with business and technology teams to build scalable data solutions, perform advanced analytics, and deliver insights that directly impact our software products and customer outcomes.
Strategic Data Platforms: Collaborate with business and technology partners to build out a robust, scalable, and secure data environment.
Business Data Understanding: Partner with analytic groups to analyze business-specific data sources, data elements, and relationships, including working with SAS .
End-to-End Solutions: Translate high-level business requirements into fully realized analytical and reporting solutions.
Advanced Analytics: Identify opportunities to apply machine learning, natural language processing, and automation across business-aligned testing teams.
Exploratory Analysis: Conduct deep dives into datasets to develop strong domain knowledge and uncover insights.
Risk Analysis: Apply statistical and mathematical techniques using tools such as Python, R, and SQL .
Automation: Streamline processes and reporting through Python scripting, SQL optimization, and VBA automation .
Agile Collaboration: Participate in Agile ceremonies and create business/technical user stories in Jira .
Cross-Functional Collaboration: Work closely with peers, colleagues, and managers to resolve issues and achieve project goals.
5+ years of experience in Data Analytics, Data Mining, or Data Science with SAS .
Strong proficiency in SQL for querying and data manipulation.
Hands-on experience with Python (scripting, automation, log analysis) and R .
Solid experience working in Agile teams , including writing business and technical user stories in Jira .
Preferred: Experience working with Freddie Mac / Fannie Mae or in the mortgage/financial services domain .
Familiarity with command-line operations for executing scripts and log analysis.
Strong analytical ability to distill complex datasets into actionable insights.
Ability to quickly learn business operations and translate non-technical requirements into technical solutions.
Strong communication skills to explain complex concepts to diverse audiences.
Flexibility to adapt in a fast-paced environment and manage multiple tasks under tight deadlines.
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