We are seeking an experienced Data Analytics Specialist to analyze complex datasets and deliver actionable insights that support business and operational decision-making. This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders.
Analyze large and complex datasets using tools such as Python, R, and SQL
Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau, or similar tools
Present data insights and trends to technical and non-technical stakeholders
Design and execute ETL (Extract, Transform, Load) processes to prepare data for analysis
Integrate data from multiple sources, including databases, files, and APIs
Ensure data accuracy, consistency, and reliability throughout the analytics lifecycle
Perform statistical analysis and hypothesis testing to identify patterns and trends
Apply machine learning techniques for predictive modeling and forecasting
Validate models and ensure analytical results are meaningful and actionable
5–10 years of hands-on experience in data analytics, business intelligence, or data science
Strong proficiency in Python, R, and SQL
Experience with data visualization libraries and tools (Matplotlib, Seaborn, Tableau)
Hands-on experience with ETL processes and data integration
Solid understanding of statistical methods and analytical techniques
Experience applying machine learning models for predictive analytics