Lead Business Intelligence Analyst

3 days ago

Islamabad, Islamabad, Pakistan beBeeData Full time $40,000 - $60,000
Job Title:

About the Position:

We are seeking a highly skilled Data Analyst to join our team. The successful candidate will have a strong background in data analysis and interpretation, with experience working with banking datasets.

The role involves managing client inquiries, analyzing financial data, and leveraging advanced data manipulation skills. This position requires proficiency in SQL and experience with Python is preferred.

Key Responsibilities:

  • Client Management & Inquiry Resolution: Manage and resolve client inquiries, ensuring exceptional service and satisfaction.
  • Data Analysis & Insights: Analyze financial data to uncover actionable insights that support business decisions.
  • Quality Assurance Participation: Participate in quality assurance initiatives to enhance data accuracy and reliability.
  • Data Visualization: Design and develop intuitive dashboards to facilitate effective data visualization for stakeholders.
  • Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives.

Required Skills & Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Finance, or a related field.
  • Proven experience working with banking datasets and managing client inquiries.
  • Proficiency in SQL for data analysis and manipulation.
  • Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Flexible work arrangements and telecommuting options.

Equal Opportunity Employer:

We are an equal opportunity employer and welcome applications from diverse candidates. Our organization values diversity and inclusion in the workplace.

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