Business Analytics Manager

Ninja; Riyad Al Khabra; On-site; SAR 150,000 - 200,000; Full time

Job summary

A tech-driven analytics firm in Saudi Arabia seeks a Business Analytics Manager to lead a high-performing team of analysts. This strategic role involves transforming data into actionable insights, optimizing performance across departments, and promoting a data-driven culture. Candidates should have a solid background in business analytics, strong leadership skills, and proficiency in tools such as SQL and Python. The position offers competitive benefits and opportunities for professional growth.

Qualifications

• 5+ years of experience in business analytics or related roles.
• At least 2 years in a managerial position.
• Strong analytical and quantitative skills.

Responsibilities

• Lead and develop a team of business analysts.
• Set goals, manage performance, and provide feedback.
• Collaborate with leadership to define analytical needs.

Skills

Data analysis

SQL

Python

Tableau

Leadership

Education

Bachelor’s degree in a quantitative field

Master's degree (MBA or M.S.)

Tools

Power BI

R

Job description

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.
• Partner with Data Engineering and IT teams to ensure data integrity, improve data models, and enhance the data infrastructure to support analytical needs.
• 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 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.