Data Analyst

Job Purpose: We are looking for someone who understand that data can be
complex and has the right skills to maximise its effectiveness. This role is
about having the patience to understand the business problems we're trying to
solve, and the skills model the answers. Interpreting data and identifying
patterns using statistical techniques as well as being able to filter, clean
and model data is essential. If statistics, distribution and left joins excite
you and you are willing to model data in SQL, utilise standard deviation
whilst supporting users from idea to implementation to help drive actions,
we'd love to meet you! Our data analysts Drive the Business with the use of
data and relevant analytical techniques to identify gaps, design solutions &
deliver opportunities where Advance Analytics can reduce cost, increase
service efficiency or drive revenue. They act as interpreters for those in
charge of making business decisions. They're storytellers tasked with getting
to the bottom of what the company's data means. They hone in on data patterns
indicating changes within the business, often creating graphs and charts to
illustrate their findings. Modeling data in SQL, utilising standard deviation
and searching for insights in data is what makes them happy. They focus their
work on developing answers and solutions to questions and problems and
supporting our teams with making decisions. Job Outline Lead - Work closely
with different business areas in the department to prioritise business and
information needs and define key performance measures that drive actionable
change. Identify new process improvement opportunities that are in line with
business strategy and drive the change management. - Drive initiatives within
the Business to ensure the quality of data available to aid timely and
accurate analysis and interpretation of different strategic priorities for the
business, such that the business is constantly on the upward trend. - Work
with Group IT and relevant key stakeholders to ensure a foundation of
insightful data that supports a specific analysis or application. Act as the
link in defining functional requirements between the business and IT. -
Research best practices and keep abreast of tools, frameworks and mechanisms
for data analytics to ensure the business is on the right path to using data
strategically and smartly. - Provide support and guidance to the Data Analysts
within the operational teams. Work with them to ensure best approach is
adopted, standardised reporting and learning needs are met. Execute - Provide
exploratory analysis using different techniques, ranging from simple data
aggregation via statistical analysis to complex data mining to discover
patterns, meaningful relationships, anomalies and predict future business
outcomes and trends to support business improvement and decision. - Assist
with the in-depth analysis of historical data through predictive/projection
modelling for co-relations during the business planning process to optimise
opportunities for cost reduction or increase in revenues. - Responsible to
transform data into action-oriented information through predictive or
prescriptive analytic capabilities to enable the business understand
potentially complex challenges and support senior management to take proactive
evidence based business decisions, to achieve required improvements. - Work
closely with project management team to execute data analytics related
projects within assigned budget and timelines.
Qualifications & Experience: Experience - Airport Operations Quslifications /
Knowledge / Skills - Bachelor's degree in Operational Research, Statistics,
Data Science or similar numerical with preferably a post-graduate
qualification - ‎6-‎8 years of experience in a data supported organisation
including at least ‎2 years in positions of progressively increasing managerial
responsibilities - English Level ‎6 - IT and Computer Literacy - Advanced Excel
- Management Skills - Safety Awareness - Demonstrable logical, creative and
analytical thinking skills - Knowledge in using databases such as SQL Server &
Oracle, with the ability to create complex SQL and understanding of general
database management concepts. - Ability to code in R or Python