"Business Intelligence" Analyst (7260160)
Ocasa Inc.
Miami, FL, United States
27 days ago
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Prepare application
- Draft this with your agent
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Business Analytics Applications
Data Analysis
Big Data
BigQuery
Data Integrity
Extract Transform Load (ETL)
Data Visualization
Data Warehousing
Relational Databases
Python (Programming Language)
Machine Learning
Power BI
+8 more
SQL Databases
Tableau (Software)
Snowflake
Advanced Reports
Information Technology
Data Analytics
Looker Analytics
Data Pipelines
Job description
- Collect, analyze, and interpret large datasets to identify trends, patterns, and business opportunities.
- Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau, or similar).
- Translate business requirements into data models, KPIs, and performance metrics.
- Partner with leadership, finance, sales, operations, and other teams to provide data-driven insights.
- Automate reporting processes and improve data accuracy and efficiency.
- Monitor key business performance indicators and proactively identify risks or opportunities.
- Ensure data integrity, consistency, and governance across reporting systems.
- Support strategic initiatives by providing data analysis and predictive insights.
Requirements
- Bachelor’s degree in Business Analytics, Data Science, Statistics, Computer Science, or related field.
- 3+ years of experience in Business Intelligence, Data Analytics, or similar role.
- Strong experience with BI tools such as Power BI, Tableau, or Looker.
- Advanced proficiency in SQL and experience working with relational databases.
- Experience with data visualization and storytelling with data.
- Strong analytical thinking and problem-solving skills.
- Ability to communicate complex data insights clearly to non-technical stakeholders.
Preferred Qualifications
- Experience with Python, R, or advanced analytics tools.
- Familiarity with data warehousing concepts (ETL, data pipelines, Snowflake, BigQuery, etc.).
- Experience working with ERP, CRM, or financial systems.
- Knowledge of predictive analytics or machine learning is a plus.
Key Skills
- Data Analysis
- Data Visualization
- Dashboard Development
- SQL & Database Management
- Business Strategy Support
- KPI & Performance Metrics
- Stakeholder Communication
Job Type: Full-time
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance
- Paid sick time
- Life insurance, * 401(k) matching
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid holidays
- Paid sick time
- Paid time off
- Vision insurance
- Work from home
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