Analytics Manager

2 weeks ago

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

Anoud Tech is a leading MENA-based global InsurTech company and was founded by Qatar Insurance Group in partnership with Swiss Re. Anoud Tech is facilitating the insurance industry's adoption of new technologies to modify operational processes, cultures, and customer experiences to meet rapidly changing business requirements for the new digital age. In Anoud Tech, insurers have a trustworthy technology partner with an unrivalled understanding of the functional and technical requirements of the industry within a rapidly evolving marketplace.

Job Overview:

We are looking for a seasoned Analytics Manager to lead and manage our analytics team, driving data-driven insights and strategies across the organization. The ideal candidate will possess strong expertise in Power BI, AI & Data Science, SQL, and experience within the Insurance domain. This role requires a blend of technical proficiency, analytical thinking, and leadership to deliver actionable insights that support business decision-making and strategy.

Key Responsibilities:

  • Lead a team of data analysts, data scientists, and BI specialists to deliver actionable insights and analytics solutions.
  • Design, develop, and implement Power BI dashboards and reports to track key performance indicators (KPIs) and provide visibility into business operations.
  • Utilize AI & Data Science techniques to develop predictive models, machine learning algorithms, and advanced analytics to support business strategies.
  • Manage and optimize the entire data pipeline, including data extraction, transformation, and loading (ETL), and ensure data quality and accuracy.
  • Develop and implement SQL queries for data extraction, manipulation, and reporting.
  • Collaborate with cross-functional teams (business, product, IT, and senior leadership) to define analytics requirements and translate business needs into data solutions.
  • Provide strategic recommendations based on data-driven insights to improve business processes, drive growth, and mitigate risks.
  • Monitor and evaluate the performance of analytical models and algorithms, and recommend improvements where necessary.
  • Ensure adherence to best practices in data security, privacy, and compliance standards, especially within the insurance domain.
  • Mentor and coach junior team members, fostering a collaborative and innovative analytics culture within the team.
  • Stay up-to-date with the latest trends and advancements in AI, Data Science, and Business Intelligence technologies.

Required Skills & Qualifications:

  • 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, predictive modeling, and data mining.
  • Proficiency in SQL for querying and managing large datasets from multiple sources.
  • Experience working in the Insurance domain is highly preferred, with a deep understanding of insurance business processes, products, and regulatory requirements.
  • Strong experience with data warehousing, ETL processes, and data governance.
  • Ability to analyze complex data, identify trends, and translate data into actionable insights for business improvement.
  • Proven track record of leading analytics teams and driving business value through data-driven decision-making.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

Preferred Qualifications:

  • Experience with other Business Intelligence tools (e.g., Tableau, Qlik) and advanced analytics platforms.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
  • Experience in Data Governance, Data Security, and Compliance within regulated industries like insurance.
  • 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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