Job Description:
We're looking for a sharp Data Analyst who understands the full data science lifecycle. You'll turn raw data into clear, actionable insights to guide business strategy, using your skills in analysis, visualization, and communication. Your knowledge of data engineering, machine learning basics, and deployment context will be key.
Collect, clean, and prepare data from multiple sources, performing ETL processes and ensuring high data quality for accurate analysis.
Analyze and interpret complex datasets using statistical methods and tools such as SQL and Python/R to uncover trends, patterns, and business insights.
Visualize and communicate findings through interactive dashboards and reports using tools like Tableau and Power BI, tailored for technical and non-technical audiences.
Collaborate cross-functionally with business, engineering, and product teams to define metrics, understand requirements, and deliver data-driven recommendations.
Apply full-stack data knowledge, including data pipelines, machine learning fundamentals, and deployment concepts, to design scalable and insightful analytics solutions.