KA
Kenya Airways
Data Analyst at Kenya Airways
KenyaFull TimeMid-Senior Level
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Kenya Airways
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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.