Business/Data Analyst
Akaasa Technologies
Business/Data Analyst
Location: Washington, DC Metro Area (Hybrid 4 Days Onsite per Week)
Duration: 6+ month
Interview Process
- Virtual interview.
- 1 2 interview rounds , depending on scheduling and client requirements.
Important Candidate Requirements
- Experience Required: Approximately 7+ Years
- Local candidates to the DC Metro area only.
- LinkedIn with location (before 2022)
- Candidates must demonstrate strong data/SQL experience .
- Financial/investment domain experience is highly preferred.
- Experience with Azure data warehouse projects and concepts is required.
Job Summary
We are seeking a highly skilled Business/Data Analyst with strong data analysis capabilities and experience in the financial and investment domains . The ideal candidate will have approximately 7+ years of experience working in business and data analysis roles, with strong SQL skills and a solid understanding of modern data warehouse concepts.
Candidates should have experience working with Azure Data Warehouse/cloud data environments and be comfortable collaborating with technical and business stakeholders. This role is best suited for a strong BA/DA who combines business analysis expertise with hands-on data and analytical skills.
Required Qualifications
- 7+ years of experience in Business Analysis, Data Analysis, or a combination of both.
- Strong experience within the financial services and/or investment domain .
- Strong proficiency in SQL .
- Solid understanding of modern data warehouse concepts and implementations .
- Experience working with or supporting Azure Data Warehouse/Azure cloud data projects .
- Strong analytical, critical-thinking, and problem-solving skills.
- Ability to work with large or complex datasets and derive meaningful insights.
- Excellent written and verbal communication skills.
- Strong ability to collaborate with business and technical stakeholders.
- Ability to work 4 days per week onsite in the DC Metro area .
- Must be local to the DC Metro area .
Qualifications
- Experience working in SAFe and/or Agile environments.
- Experience supporting cloud-based data transformation or data warehouse initiatives.
- Experience working closely with data engineering, data architecture, or business intelligence teams.
Vacancy posted 1 day ago
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