Data Engineer
Role: Data Engineer
Location: Remote
Key Responsibilities
- Develop, maintain, and optimize interactive dashboards and reports using Power BI .
- Collaborate with cross-functional teams to understand business objectives and translate them into analytical solutions.
- Extract, manipulate, and analyze large datasets using SQL and Python .
- Identify key trends, patterns, and anomalies in data to inform strategic decisions.
- Conduct ad-hoc analysis to support operational and strategic initiatives.
- Present data-driven insights and recommendations to stakeholders in a clear and compelling manner.
- Build and maintain data pipelines, ensuring data integrity and performance.
- Stay current with emerging data analysis tools and best practices.
Required Qualifications
- Bachelor's degree in Business, Data Science, Computer Science, Statistics, or a related field.
- 3+ years of experience in a data analyst or similar role with a strong business orientation.
- Advanced Power BI skills including DAX, data modeling, and report optimization.
- Web development experience (e.g. ajax, html, css, js)
- Proficiency in SQL for data extraction and manipulation (e.g., joins, CTEs, subqueries).
- Strong programming skills in Python (e.g., pandas, NumPy, matplotlib, seaborn).
- Proven ability to communicate technical findings to non-technical stakeholders.
- Experience with data warehousing and ETL processes is a plus.
Preferred Qualifications
- Familiarity with version control tools (e.g., Git).
- Exposure to business domains such as finance, marketing, operations, or sales analytics.
- Knowledge of machine learning or predictive modeling is a bonus.
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