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Data Analyst
3 weeks ago
Job Summary:
The ideal candidate will leverage their analytical skills and experience working with complex data sets to drive business improvements.
- Assess data quality, cleanse, and structure for downstream processing
- Design accurate, efficient prediction algorithms
- Collaborate with teams to transition analytical prototypes into production systems
- Generate actionable insights to drive business decision-making
- Develop and maintain dashboards and reports for stakeholders
Key Skills and Qualifications:
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science)
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning
- Strong understanding of predictive modeling, clustering, classification techniques
- Proficiency in programming languages such as Python, R, SQL
- Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, Azure)
- Familiarity with data visualization tools (Tableau, Power BI)
Benefits and Opportunities:
- Professional development opportunities
- Opportunities to work on high-impact projects
- Collaborative team environment
How You Will Thrive:
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders
- Ability to work in a fast-paced environment
