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Ninja

Posted 6 months ago

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Business Analytics Manager

RiyadhOn-siteFull-time

AI Summary

Leads and mentors a team of business analysts to translate data into actionable insights, shaping strategic analytics initiatives and guiding decision-making at senior levels.

About this role

**Ninja is seeking an experienced Business Analytics Manager **to lead our talented team of analysts and transform data into actionable insights that drive strategic business decisions. This role is crucial for optimizing business performance, identifying growth opportunities, and fostering a data-driven culture throughout the organization. The ideal candidate is a strong leader, a strategic thinker, and an expert in leveraging data to solve complex business problems.

Key Responsibilities:

  • Lead, mentor, and develop a high-performing team of business analysts, fostering a culture of collaboration, innovation, and continuous learning.

  • Set clear goals and objectives for the team, manage performance, and provide regular feedback and coaching.

  • Manage the analytics project roadmap, prioritize tasks based on business impact, and ensure timely delivery of high-quality insights and reports.

  • Collaborate with senior leadership and department heads (e.g., Sales, Marketing, Finance, Operations - Commercial) to understand their challenges, identify key business questions, and define analytical needs.

  • Act as a strategic advisor to the business, translating complex data into clear, actionable recommendations for senior management.

  • Develop and execute a comprehensive business analytics strategy that aligns with the company's overall objectives.

  • Oversee the design and execution of complex analyses to uncover trends, patterns, and insights regarding customer behavior, market dynamics, operational efficiency, and financial performance.

  • Develop, monitor, and maintain Key Performance Indicators (KPIs) and business dashboards to track performance against strategic goals.

  • Champion advanced analytical techniques, including segmentation, forecasting, A/B testing, and predictive modeling, to answer critical business questions.

  • Standardize and automate reporting processes to ensure consistency, accuracy, and efficiency.

  • Create and present compelling data narratives and visualizations to communicate findings and influence decisions across all levels of the organization, including executive leadership.

  • Ensure that insights are presented in a clear, concise, and visually appealing manner.

  • Promote data literacy and best practices for data usage across the company.

  • Evaluate and recommend new tools and technologies to improve the team's capabilities and efficiency.

  • To Build Robust Data Infrastructure to to enable near real time reporting.

Requirements

  • Bachelor’s degree in Business, Economics, Statistics, Computer Science, Engineering, or another quantitative field.
  • Master's degree (MBA or M.S. in Analytics, Data Science, or a related field).
  • 5+ years of experience in business analytics, data analysis, or related roles, with at least 2 years in a managerial position.
  • Proficiency in analytics tools and platforms such as SQL, R, Python, Tableau, or Power BI.
  • Strong analytical and quantitative skills with a proven track record of data-driven decision-making.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Strong leadership and team management capabilities.
  • Experience in the e-commerce or tech industry is a plus.
  • Experience with a statistical programming language such as Python (Pandas, Scikit-learn) or R.
  • Familiarity with cloud data platforms (e.g., AWS, Google Cloud Platform, Azure) and modern data stack tools.
  • Experience in [Specify Industry, e.g., E-commerce, SaaS, Finance, Healthcare].
  • Proven track record of influencing business outcomes through data-driven insights.

Skills

A/b TestingAnalytical ToolingAnalytics Project ManagementBusiness AnalyticsCloud Platforms (AWS, GCP, Azure)Dashboard DevelopmentData GovernanceData InfrastructureData StorytellingData VisualizationData WarehousingETL/ELTForecastingKPI DesignPandasPower BIPredictive ModelingPythonRSciKit-LearnSegmentationSQLSQL OptimizationStatistical AnalysisTableau

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