Job Description
Country: Saudi Arabia
Position Location: Saudi Arabia
Contract Type: Permanent
Work Pattern: Full Time
Sector: Built environment
Discipline: Information technology
Job Ref: 2124
Recruiter Contact: Anuja Panchal
About The Job
As a Data Analyst, you will be responsible helping our clients explore and use their data. Gathering, analysing, and interpreting data to provide actionable insights.
Responsibilities
Data Specification: Collaborate with a diverse set of stakeholders to gather and define reporting requirements.
Data Collection: Identify, collect and migrate data to and from a range of systems.
Data Preparation: Manage, clean, abstract and aggregate data, whilst maintaining data quality.
Data Integration: Design and develop data models and ETL processes to manipulate and link different data sets efficiently.
Data Exploration: Use appropriate data analytics and statistical techniques to discover meaningful insights to drive decision-making.
Data Visualisation: Communicate insights to a range of stakeholders. Including the use of BI tools to create accessible and engaging dashboards and reports.
Candidate Specification
Data Visualisation: Proficiency in BI, data visualisation toolsand their underlying languages (e.g. Excel / Power BI / DAX / Power Query)
Data Ingestion: Experience with basic ETL processes and data integration tools.
Data Modelling: Ability to design and create effective data models using appropriate data modelling patterns, standards and techniques.
Data Quality: Ability to identify appropriate ways to collect, collate and cleanse data, and decide if it is accurate and fit for purpose.
Data Solutions: Ability to manage and deploy BI solutions and data pipelines within Azure
Communication: ability to engage technical and business stakeholders, from a range of disciplines, in all things data analytics
Problem Solving:Ability to monitor and fix problems in databases, data processes and data analytics solutions as they occur
Project Management: Ability to use appropriate project management techniques to define and manage a data analytics project.
Statistical Methods: Ability to describe data using statistics, with an understanding of the underlying mathematical formulas, models and techniques.
Data Consultancy: Experience and comfort in client facing / consulting roles.
Our Purpose
At Mott MacDonald, our purpose is to improve society by considering social outcomes in everything we do; relentlessly focusing on excellence and digital innovation, transforming our clients businesses, our communities and employee opportunities.
Equality, Diversity and Inclusion
Equality, diversity and inclusion (EDI) is at the heart of our organisation. We are an equal opportunity employer and do not discriminate, rather take positive steps towards creating a diverse and inclusive working environment.
Flexible Working
At Mott MacDonald, we support our staff to create work-life balance which works for them and welcome candidates looking for career flexibility. We are open to discussing flexible working at interview stage.
We Can Offer
90 calendar days paid maternity leave
Competitive annual leave
An annual professional institution subscription
Annual company performance bonus scheme Subject to company performancea
More About Mott MacDonald
We're a global engineering, management and development consultancy. Our purpose is to improve society by considering social outcomes in everything we do, relentlessly focusing on excellence and digital innovation, transforming our clients businesses, our communities and employee opportunities. A fundamental part of this is respecting each person's differences and striving to meet their needs. Our values: progress, respect, integrity, drive, excellence.
