
Unlocking Business Potential
2 days ago
Experience: 4-7 years of experience in the field is preferred.
Responsibilities:
- Data Analysis and Insights: Develop and implement data analysis processes to uncover trends, patterns, and actionable insights from large datasets.
- Automated Data Processing: Automate data collection, preprocessing, and cleaning processes using Python, R, or SQL for accuracy and consistency.
- Predictive Modeling: Design and implement predictive models, machine learning algorithms, and statistical analyses to drive business decisions.
- Database Optimization: Develop and optimize databases, data pipelines, and analytics strategies for efficiency and scalability.
- Dashboard Development: Build dashboards, reports, and data visualizations to effectively communicate insights to stakeholders.
- Collaboration: Collaborate with cross-functional teams to develop and implement data-driven solutions.
- Process Improvements: Identify opportunities for process improvements and data-driven decision-making.
Requirements & Skills:
- Proven experience as a Data Analyst (4–7+ years preferred).
- Strong expertise in SQL, Python, R (knowledge of Java/Scala/C++ is a plus).
- Proficiency in data mining, statistical analysis, and predictive modeling.
- Hands-on experience with data visualization tools (Tableau, Power BI).
- Familiarity with big data frameworks (Hadoop, Spark) and ETL processes.
- Strong knowledge of statistics, mathematics, and operations research.
- Skilled in data modeling, database design, and segmentation techniques.
- Analytical mindset with strong problem-solving aptitude and business acumen.
- Excellent communication, presentation, and storytelling skills.
- Educational background: Bachelor's degree.
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