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Data Science

Responsibilities:
• Data Exploration & Insights: Analyze large, complex datasets to uncover hidden patterns, trends, and actionable insights that drive strategic business decisions.
• Advanced Analytics & Modeling: Design, develop, and deploy predictive models, statistical analyses, and machine learning algorithms to solve core business challenges.
• Data Visualization & Reporting: Translate intricate data findings into clear, compelling visual stories and interactive dashboards using industry-standard BI tools.
• Data Pipeline & ETL Support: Assist in gathering, cleaning, and preprocessing data from disparate sources, ensuring data integrity and optimizing data flows for analysis.
• Cross-Functional Collaboration: Partner with business leaders, product teams, and engineering to understand their data needs and deliver data-driven solutions.

Preferred Skills/Requirements:
• Analytical Mindset: Strong problem-solving skills with a solid foundation in statistics, data mining, and quantitative analysis.
• BI & Data Visualization: Proficiency with business intelligence tools such as Power BI, Tableau, Cognos, or similar platforms.
• Data Management & ETL: Familiarity with data integration, data warehousing concepts, and tools like Informatica or SQL.
• Programming Languages: Foundational knowledge of, or proficiency in, data-centric languages like Python or R.
• Communication: Ability to explain complex technical concepts and data insights simply and effectively to non-technical stakeholders.