Job Title: Data Analyst
Location: McLean, VA (Hybrid - Onsite Tue-Thu, Remote Mon & Fri)
Duration: ~6 Months
Visa: H4-EAD, OPT, TN (Unless it is not falsified) (Will consider candidates local to VA but from Strong financial background )
Interview Process: 1-hour interview via Zoom, with a focus on SQL (joins), Python, and communication skills.
Atleast 9+ exp required
Key Responsibilities:
· Data Collection & Analysis: Conduct comprehensive data gathering and analysis to ensure platform health metrics are accurate and actionable.
· Visualization & Reporting: Develop visualizations and reports (preferably in Tableau) to communicate key metrics and trends effectively.
· Collaboration & Coordination: Work closely with cross-functional teams, including Enterprise & Compliance Initiatives and Platform Health teams, to provide data insights and metrics.
· Data-Driven Influence: Leverage data to drive insights that influence decision-making and strategy.
· Data Integrity & Quality Assurance: Ensure data accuracy, consistency, and reliability in reporting processes.
Required Skills and Experience:
· SQL: Strong proficiency in writing complex queries and performing joins.
· Python: Intermediate level for API calls, querying Snowflake, and data manipulation.
· Tableau: Experience with Tableau is preferred but not required; openness to learning Tableau is acceptable.
· Professional Experience: Minimum of 4 years in a professional data analyst role. Candidates with only college or bootcamp experience will not be considered.
· Communication Skills: Excellent communication abilities, as the role involves regular interaction with senior leadership, including VPs. Must be capable of delivering clear, concise data insights in various forums.
Preferred Background:
· Experience supporting Machine Learning, Enterprise, or Compliance teams is advantageous.
· Familiarity with tracking platform and compliance metrics, managing incidents, and creating automated data scripts.
Technical Skills:
· Python (data manipulation, analysis, and visualization)
· SQL (queries and data extraction from relational databases)
· Tableau (data visualization)
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