Overview
Employer Industry: Data Analytics and Technology Solutions
Benefits
- Competitive compensation and comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off to promote work-life balance
- Professional development opportunities to enhance skills and career growth
- 401(K) matching to support your financial future
- Supportive, inclusive, and forward-thinking workplace culture
- Opportunity to work with cutting-edge technologies and methodologies
Responsibilities
- Gather, clean, and analyze complex datasets using technical knowledge and analytical skills
- Employ statistical techniques to interpret and validate data trends, patterns, and anomalies
- Collaborate with cross-functional teams to deliver insights that support project objectives
- Prepare and present detailed analytical reports to both technical and non-technical stakeholders
- Establish and maintain data governance practices to ensure data quality and integrity
Qualifications
- Bachelor\'s degree in a relevant field (e.g., Data Science, Computer Science, Statistics, or related discipline)
- 2-4 years of experience in data analysis, data mining, or business intelligence
- Strong analytical skills, attention to detail, and ability to communicate complex data insights
- Experience with data visualization tools like Tableau, PowerBI, Qlik, and advanced Excel techniques
- Intermediate proficiency in data cleaning, transformation, and statistical analysis
Preferred Qualifications
- Familiarity with AGILE/SCRUM methodologies (e.g., Kanban, Scrum)
- Proficiency in data analysis tools like SQL, Python, and/or R
- Previous experience in a client-facing role with a focus on stakeholder communication
- Experience with statistical methods such as hypothesis testing and confidence intervals
- Understanding of business intelligence best practices and KPIs
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