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The ideal candidate will be a data-driven professional with a passion for turning complex data into actionable insights. They will thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems.
">Key Responsibilities:">- Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
- Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
- Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
- Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
- Write and optimize SQL queries to extract, analyze, and transform large datasets.
- Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
- Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field — or equivalent experience.
- Proven experience working with Azure cloud services for data processing and analytics.
- Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
- Solid knowledge of SQL for querying, data preparation, and optimization.
- Hands-on experience with Power BI for building dashboards and delivering insights.
- Ability to design and execute data-driven solutions to support business objectives.
- Strong analytical and problem-solving skills with attention to detail.
- Effective communication skills to explain complex findings to technical and non-technical stakeholders.
- Flexible work schedule.
- Opportunities for growth and professional development.
- A collaborative and dynamic work environment.
- A competitive salary and benefits package.
We are looking for talented individuals who share our passion for innovation and excellence. If you are a motivated and detail-oriented individual who is eager to take on new challenges, we encourage you to apply.
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