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Data Scientist

Full-time

NAFFCO


Job Summary

We are seeking an experienced Data Scientist with strong capabilities in data analytics statistical modeling and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large structured datasets developing advanced analytical models and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders IT teams and management to ensure accurate timely and meaningful data-driven insights.

Key Responsibilities:

  • Design develop and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.

  • Build predictive statistical and analytical models to support operational tactical and strategic business decisions.

  • Write and optimize SQL queries to extract transform and analyze large datasets efficiently.

  • Ensure data integrity consistency and high performance across analytics solutions.

  • Collaborate with business units to understand reporting needs and translate them into technical solutions.

  • Support ongoing enhancements troubleshooting and optimization of data models dashboards and reports.

  • Stay updated with emerging tools techniques and best practices in data analytics and business intelligence.

Qualifications & Experience:

  • BTech / BSc in Computer Science MCA or equivalent technical qualification.

  • 25 years of proven experience in data analytics modeling and dashboard development.

  • Strong expertise in Qlik Sense and SQL ; experience with Oracle EBS is a plus.

  • Excellent analytical problem-solving and communication skills with the ability to present complex data clearly to stakeholders.

  • Ability to work independently as well as collaboratively in a dynamic fast-paced environment.

Vacancy posted 18 days ago
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