Passionate Data Scientist - Enterprise Intelligence & Leadership Reporting

We are seeking a passionate and data-driven problem solver who thrives on using data science to drive enterprise intelligence and executive decision-making. This role provides an opportunity to work closely with leadership teams, delivering insightful analytics, predictive modeling, and strategic reporting to support high-impact business decisions.

As a Passionate Data Scientist – Enterprise Intelligence & Leadership Reporting, you will leverage AI, machine learning, and advanced analytics to provide actionable insights for executives, cross-functional teams, and enterprise-wide initiatives.

Key Responsibilities:

• Analyze large datasets to generate insights for C-level executives and leadership teams.
• Develop and maintain predictive models to support business strategy and operational decisions.
• Create automated dashboards and reports using Power BI, Tableau, or Looker to visualize complex data.
• Work with SQL, Python, and R to extract, clean, and analyze structured/unstructured data.
• Collaborate with cross-functional teams in finance, marketing, operations, and technology to align data-driven strategies.
• Provide forecasting models, trend analysis, and scenario simulations for business impact assessment.
• Communicate complex data findings in a clear, concise, and actionable manner for non-technical stakeholders.
• Identify key KPIs and business metrics to enhance enterprise-wide decision-making.
• Support leadership with ad hoc analytics and strategic data-driven recommendations.

• 2+ years of experience in data science, business intelligence, or enterprise analytics.
• Proficiency in Python, R, SQL, and statistical modeling techniques.
• Hands-on experience with data visualization tools (Power BI, Tableau, or Looker).
• Strong understanding of machine learning techniques, forecasting, and predictive analytics.
• Ability to work with structured and unstructured data to derive business insights.
• Experience working with executives or leadership teams to deliver data-driven insights.
• Strong communication skills with the ability to translate technical findings into business value.
• Experience with cloud platforms (AWS, GCP, or Azure) for data processing.
• Familiarity with big data technologies (Spark, Hadoop) is a plus.
• Knowledge of natural language processing (NLP) and AI-driven analytics.
• Exposure to enterprise reporting tools and financial modeling.

✔ Direct exposure to executives and leadership teams for strategic decision-making.
✔ Work on high-impact projects that shape the company's growth and direction.
✔ Opportunity to apply data science in business strategy & enterprise intelligence.
✔ Collaborative and innovative work environment with cutting-edge technology.