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An established industry player in data analytics and consulting is seeking a talented data analyst to transform raw data into actionable insights. This role offers a competitive salary and a comprehensive benefits package, including medical, dental, and a 401(k) with company match. You'll have the opportunity to work remotely or onsite, with a focus on career advancement and growth. Your expertise in programming languages like SAS, Python, and R, as well as data visualization tools like PowerBI and Tableau, will be crucial in analyzing mortgage and financial data. Join a forward-thinking company that values employee contributions and fosters a fair and transparent hiring environment.
Employer Industry: Data Analytics and Consulting
Why consider this job opportunity:
- Salary up to $207,720
- Comprehensive benefits package including medical, dental, vision, and 401(k) with company match
- Discretionary bonus program recognizing employee contributions
- Opportunity for career advancement and growth within the organization
- Flexible remote work option with the ability to work onsite if preferred
- Paid parental leave and family building benefits, including adoption and fertility assistance
What to Expect (Job Responsibilities):
- Transform raw data into actionable insights and optimize data processes
- Analyze mortgage and financial data to identify trends, patterns, and insights
- Develop and maintain dashboards and reports using tools like PowerBI or Tableau
- Collaborate with client-facing teams to understand data needs and present findings
- Implement best practices for data management and governance
What is Required (Qualifications):
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- Experience developing mortgage/borrower behavioral models
- Expert proficiency with programming languages such as SAS, Python, or R
- Expert proficiency in SQL, Excel, and data visualization tools such as PowerBI or Tableau
- Excellent analytical, organizational, and problem-solving skills
How to Stand Out (Preferred Qualifications):
- Experience with cloud-based data platforms, such as Azure or AWS
- Experience with data warehousing and ETL processes
- Certifications in data analytics or related fields
#DataAnalytics #RemoteWork #CareerOpportunity #CompetitivePay #EmployeeBenefits
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