Lead Data Analyst

• Competitive Salary Packages
• Professional Development Opportunities
• Hybrid Work Setup
• Equipment Provided
• Day 1 HMO
• Life Insurance

• Lead a team of data analysts, ensuring the team's success and growth.
• Regularly conducts performance reviews and employee 1:1 to ensure alignment with standard of performance.
• Empowers team members to present quality work, facilitate harmonious working environment, and hone their skills
• Listens to team member’s feedback and resolves any issues or conflicts;
• Embodies and Promotes the Team’s 10 Commandments of Success (Team’s work culture).
• Monitors employee concerns and disciplinary adherence;
• Leads the team members to attain established targets within the expected timeline.
• Hire and recruit team members inline with the expected team culture and competencies.
• Oversees the process of onboarding, developing, and leading of the employees from the department.

• Serves as the primary point of contact for data analysis and interpretation for assigned projects.
• Coordinates with employees and clients regarding the details of the assigned projects for proper documentation of data findings
• Establishes processes, team targets, and project timelines.
• Ensures the team’s performance adheres to the established processes and procedures.
• Ensures that the team reaches the Client’s targets and no escalations have been set-up.
• Assist the team in any data related questions.
• Maintains and initiates strong, long-lasting client relationships by establishing rapport and building trust.
• Prepares and designs reports for clients and management regarding project status, data trends, and data findings
• Develops new projects with existing clients and/or new working relationships with new clients
• Addresses client concerns, requests or issues as needed, especially escalations

• Helps shape the organization's data-driven strategies through data insights and analysis.
• Helps, proposes, and builds necessary data infrastructure to help generate a more organized data infrastructure or client strategy.
• Writes memos / documentations on proposed data set-up for the whole organization.
• Identifies product and service related opportunities for the data analysis tasks.

• Understands different data and provides guidance in working on them.
• Designs and creates interactive dashboards using tools like PowerBI or Google Looker Studio.
• Provides practical expertise in automating tasks with Python scripts and shows a solid understanding of fundamentals.
• Shows hands-on experience in different stages of the data lifecycle. Including data collection, data cleaning, management, manipulation and data visualization.
• Understands Familiarity with different Python libraries such as pandas, NumPy, and Maplotlib.
• Uses advanced use of Excel, including pivot tables, complex formulas, VBA macros, and data analysis functions.
• Develops, documents and implements data control necessary for the installation and administration of the departments on-line data processing systems
• Conducts data mining activities, such as collecting and organizing data from multiple sources in order to identify patterns or other useful information.
• Analyzes data to identify patterns, trends, or other meaningful insights in order to make

• Supervises the design and preparation of various statistical reports.

• Stakeholder Collaboration. Work with cross-functional teams, including business stakeholders, business development team, and other departments, to align on goals and objectives.
• Communicates findings to clients, including presenting reports in written or verbal format.

• Assist in other ad hoc topics and projects as assigned by the immediate supervisor.
• Recommend and proactively implement opportunities for increased departmental efficiency.
• Extend work hours when needed.

• A bachelor’s degree preferably in a relevant field such as Data Science, Statistics, Computer Science, Mathematics or Information Technology, Economics.
• 3-5 years of experience in data analysis, ideally with a progression into leadership roles.
• Experience in managing data projects from start to finish, including planning, execution, and delivery.
• Experience leading a team of data analysts or similar roles.
• Hands-on experience in data analysis tools from Excel to using programming languages like Python. Involvement in Data Manipulation, Cleaning, Collection, Data Visualization.
• Ability to create a clear and insightful visualization using tools like Tableau, PowerBI, or Python libraries such as Matplotlib and Seaborn.
• Ability to analyze complex datasets, identify trends and derive actionable insights.
• Strong problem-solving to tackle data-related challenges.
• Ability to align data analysis with business goals and objectives.
• Agile: Able to adjust in a fast-paced environment and show flexibility.
• Forward-thinking mindset: Encourages the growth of the company and its people.
• Fosters analytical and critical thinking.
• Possesses leadership skills and managing people toward the success of projects.

• Relevant certifications such as Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or Google Data Analytics Professional Certificate.
• Proof of work from previous employment like projects and tasks or education.
• Portfolio showcasing projects displaying usage of different tools and skills.
• Has worked with Clients from Western Countries such as (UK, US, EUROPE, Australia).

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