
Leading Data Analyst
2 days ago
Key Responsibilities:
- Data Sourcing and Integration: Identify, acquire, and consolidate structured & unstructured data from diverse sources.
- Data Processing and Validation: Automate data collection, processing, and validation processes for accuracy and consistency.
- Business Insights and Intelligence: Analyze large, complex datasets to uncover patterns, trends, and actionable business insights.
- Predictive Modeling and Analytics Strategy: Design and implement predictive models, machine learning algorithms, and statistical analyses.
- Database Optimization and Analytics Framework: Develop and optimize databases, data pipelines, and analytics frameworks for efficiency and scalability.
- Dashboard and Report Development: Build dashboards, reports, and data visualizations to communicate insights to stakeholders.
- Cross-Functional Collaboration: Collaborate with engineering, product, and business teams to implement data-driven solutions.
- Process Improvement and Decision-Making: Define new opportunities for process improvements and data-driven decision-making.
- Analytical Model Deployment: Deploy and monitor analytical models in production, ensuring continuous optimization.
Requirements and Skills:
- Experience: Proven experience as a Data Analyst or similar role (4–7+ years preferred).
- Technical Skills: Strong expertise in SQL, Python, R (knowledge of Java/Scala/C++ is a plus), data mining, statistical analysis, and predictive modeling.
- Data Visualization Tools: Proficiency in data visualization tools (Tableau, Power BI, Business Objects).
- Big Data Frameworks: Familiarity with big data frameworks (Hadoop, Spark, Databricks, etc.) and ETL processes.
- Education: Educational background: Bachelor's.
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