Accepting Applications
Full-time
On-site
Posted 8 hours, 12 minutes ago
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0 applications
Job Description
**Requirements:**
* 2\+ years of experience in Data Analysis, Business Intelligence, or related roles.
* Strong command of SQL, including joins, aggregations, filtering, and Common Table Expressions (CTEs).
* Hands\-on experience with dashboarding and BI tools such as Metabase, Tableau, Looker, or Power BI.
* Excellent analytical thinking and problem\-solving skills.
* Ability to interpret complex data and translate insights into actionable business recommendations.
* Strong communication and presentation skills with the ability to explain findings to stakeholders.
* Highly detail\-oriented with strong organizational and time management abilities.
* Comfortable working in a fast\-paced and dynamic environment.
* Familiarity with Python or R for data analysis and automation.
* Experience working with Databricks or other cloud\-based data platforms.
* Exposure to healthcare or SaaS\-related datasets is preferred.
* Understanding of A/B testing methodologies and statistical analysis concepts.
* Basic understanding of machine learning concepts and predictive analytics.
**Responsibilities:**
* Analyze large datasets to identify trends, patterns, anomalies, and business opportunities.
* Write efficient SQL queries to extract, manipulate, and analyze data.
* Develop dashboards, reports, and visualizations for business and operational stakeholders.
* Track KPIs and provide actionable insights and recommendations based on data findings.
* Collaborate with product, operations, and leadership teams to understand reporting and analytics requirements.
* Clean, validate, and prepare data to ensure accuracy and reliability in reporting.
* Present insights in a clear, concise, and easy\-to\-understand manner for non\-technical audiences.
* Ensure consistency, accuracy, and quality across reports and dashboards.
* Maintain proper documentation for metrics, reports, dashboards, and data processes.
* Contribute to building and promoting a strong data\-driven culture within the organization.
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