Insight Generation Manager

2 weeks ago


Doha, Baladīyat ad Dawḩah, Qatar Anoud Technologies LLC Full time

Anoud Technologies LLC seeks a seasoned Insight Generation Manager to drive data-driven decision-making and strategy development across the organization. This role demands a unique blend of technical proficiency, analytical thinking, and leadership to deliver actionable insights that support business decision-making and strategy.

Responsibilities:

  • Develop and implement data-driven strategies that drive business growth and improvement.
  • Design and implement data visualization dashboards using Power BI.
  • Apply AI & Data Science techniques to develop predictive models and advance analytics.
  • Leverage SQL to extract, manipulate, and report data.
  • Collaborate with cross-functional teams to define analytics requirements and translate business needs into data solutions.
  • Provide strategic recommendations based on data-driven insights.
  • Monitor and evaluate the performance of analytical models and algorithms.

Requirements:

  • 10+ years of experience in analytics, data science, or business intelligence.
  • Strong expertise in Power BI for creating interactive dashboards, reports, and visualizations.
  • Advanced knowledge of AI & Data Science techniques, including machine learning and predictive modeling.
  • Proficiency in SQL for querying and managing large datasets.
  • Experience working in the Insurance domain is highly preferred.
  • Strong experience with data warehousing, ETL processes, and data governance.
  • Ability to analyze complex data and translate it into actionable insights.

Preferred Qualifications:

  • Experience with other Business Intelligence tools and advanced analytics platforms.
  • Familiarity with cloud platforms and big data technologies.
  • Experience in Data Governance, Data Security, and Compliance within regulated industries.
  • Strong knowledge of actuarial data and statistical analysis within the insurance industry.

Education:

  • Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or a related field.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology and Other

Industries

Software Development and Insurance



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