Data Analyst at Kenya Airways

Purpose

Reporting to the Manager – Analytics, the Data Analyst serves as an analytics specialist in the business, focusing on the management of data from various sources and providing data-driven insights to relevant departments.

Responsibilities

• Analyses business data to provide the business’s management, heads, and stakeholders with information that supports departmental as well as overall business objectives
• Identify, analyze, and interpret trends and patterns in complex data sets, drawing insights that will aid the business in developing a suitable course of action.
• Audit system data to guarantee compliance, accuracy, and duplication management.
• Collaborate with business analysts to identify process automation opportunities and functions that will streamline current and future data management and reporting for the business
• Be an advocate for a continually improving way of working within the team to drive efficient and impactful engagement and accurate delivery of service.
• 100% adherence to policies, procedures and statutory guidelines.
• Participate in project execution to ensure that projects scope is understood, completed on time, to service delivery specifications.
• Audit issues close within the quarter of identification, or within the agreed time frames, whichever is shorter.
• Strong relationships and communications with stakeholders to ensure customer satisfaction and that concerns are addressed and expectations met.
• Own up-to-date and actioned competency assessments and development plans.

Skills

• Ability to think creatively, highly driven and self-motivated
• Strategic perspective with an ability to analyze complex issues, develop appropriate action plans and deliver results.
• Ability to synthesize and analyze diverse data and information, develop and recommend strategies.

Qualifications

• A bachelor’s degree in business management, computer science, information management, or related field.
• Any IT management certification, such as ITIL, will be an added advantage.
• Experience with Power BI is strongly preferred.
• Proficiency with Excel, SQL and statistical methods (Python an added plus)
• At least 3 (three) years of relevant, data-related business experience in a busy/commercial environment. The candidate must also have had a proven and successful understanding of how to interpret a business’ needs and how to draw these needs from analysis or raw information and data.
• Demonstrate skill in SQL as well as proven skills and experience working with at least one other major databases platform for example, DB2, Oracle, Postgres, etc.