Data Analytics Manager

دوام كامل في Emaar Dubai في UAE
نُشرت يوم November 24, 2024

تفاصيل الوظيفة

Roles and responsibilities

Key Responsibilities: Team Leadership:
  • Lead and manage the data analytics team, ensuring the timely and accurate delivery of reports and insights.
  • Mentor and guide junior analysts, fostering a data-driven culture within the organization.
  • Define team goals, performance metrics, and growth strategies.
Data Strategy & Architecture:
  • Develop and execute a data strategy that aligns with the company’s broader business goals.
  • Oversee the design, development, and maintenance of data infrastructure, including data warehouses, pipelines, and reporting systems.
  • Ensure data governance, security, and integrity across all analytics operations.
Advanced Analytics:
  • Utilize advanced analytical techniques such as predictive modeling, machine learning, and statistical analysis to generate actionable insights.
  • Collaborate with business stakeholders to understand their data needs and translate them into technical solutions.
  • Drive decision-making in key areas such as marketing, product development, customer retention, and financial planning.
Business Intelligence & Reporting:
  • Lead the development of interactive dashboards, reports, and data visualizations that provide stakeholders with real-time insights into business performance.
  • Standardize reporting processes and ensure consistent, reliable metrics across the organization.
  • Collaborate with cross-functional teams (e.g., marketing, finance, operations) to ensure alignment between data outputs and business objectives.
Data-Driven Decision Making:
  • Partner with department leaders to identify opportunities for leveraging data to drive business solutions.
  • Analyze key metrics, trends, and market data to help inform strategic initiatives.
  • Deliver clear, data-backed presentations and reports to senior management, including forecasts, performance analyses, and data-driven recommendations.

Desired candidate profile

  • Identify areas of inefficiency across the business and provide data-driven recommendations to streamline operations and improve performance.
  • Lead efforts to automate manual reporting processes and reduce time-to-insight for the organization.
Qualifications & Experience: Education:
  • Bachelor’s or master’s degree in data science, Computer Science, Mathematics, Statistics, Economics, or a related field.
Experience:
  • 5+ years of experience in data analytics, business intelligence, or a related field.
  • Proven experience in managing a data analytics team, including hiring, mentoring, and performance management.
  • Strong background in data strategy, data architecture, and analytics infrastructure design.
Technical Skills:
  • Proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
  • Strong understanding of data warehousing concepts and experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience with machine learning techniques and predictive modeling is a plus.
  • Knowledge of ETL processes and data pipeline architecture.
Soft Skills:
  • Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
  • Strong leadership and project management skills, with the ability to manage multiple projects simultaneously.
  • Strategic thinking with a focus on problem-solving and process improvement.
Preferred Qualifications:
  • Experience in FinTech or financial services industry.
  • Familiarity with regulatory requirements related to financial data privacy and security (e.g., GDPR, PCI-DSS, PSD2).
  • Prior experience with financial modeling , risk analytics , credit scoring , or customer segmentation in a financial context.
  • Experience working with payment systems , digital banking platforms , or blockchain technologies .
  • Knowledge of fraud detection , anti-money laundering (AML) analytics, and compliance reporting .
  • Experience working in an agile environment.
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