Overview
BAM UK & Ireland has an exciting opportunity for a Data Analyst to support the development, optimisation, and maintenance of data within the Kilsyth, Scotland office. As a Data Analyst, you will design data modelling processes, analyse the data, and share insights with peers. The Data Analyst shall work closely with assigned business stakeholders to understand their goals and determine how data can be used to achieve those goals. The role involves collaborating with cross-functional teams to provide data-driven insights, ensuring the organisation can meet its strategic objectives.
Responsibilities
* Identifying and mapping relevant data sources for business needs
* Collecting structured and unstructured data
* Sourcing missing data
* Organising data into usable formats
* Building predictive models
* Building machine learning algorithms
* Enhancing the data collection process
* Processing, cleansing & verifying data
* Analysing data for trends and patterns to answer business questions
* Setting up data infrastructure
* Develop, implement and maintain databases
* Assess quality of data and design improvement strategies
* Generating information and insights from data sets and identifying trends and patterns
* Preparing reports for executive and project teams
* Create visualisations of data
* Ensure BAM Nuttall is compliant with all legislation and BAM policies / procedures
* Support people engagement in data analytics by fostering a culture of learning, growth, and development through performance, inclusion, safety, and wellbeing
* Support the development of data analytics to achieve Business Unit, team and individual goals and objectives to meet and exceed service delivery requirements
* Create and maintain effective working relationships with the Business Unit Management Teams, our key clients and their representatives
* Understand existing customer relationships and their requirements and develop strategies to ensure they are being met
Your team
* This role will be based from our office in Kilsyth, Scotland with an opportunity for hybrid working. We would also be willing to consider candidates within the North and North-East Scotland region.
What do you bring to the role?
* At least 3 years’ experience in a similar role
* Experience in data modelling process
* Experience in creating algorithms
* Experience in creating predictive models
* Experience in analysing data for insights
* Experience using Power BI
* Ability to build relationships with key stakeholders
* Excellent organisational and time-management skills
* Outstanding communication and presentation skills
* Excellent interpersonal skills
* Expert problem-solving skills
* A high degree of energy and self-motivation
* Excellent relationship building and communication skills, capable of consulting and collaborating with key players and teams at all levels within the business
* Ability to multi-task and provide focus, direction and solutions where required
* Ability to understand and work to the BAM values
* Microsoft Azure experience desirable
What’s in it for you?
* Competitive salary
* A wide range of family-friendly policies
* Company car/car allowance/travel allowance
* 8 % matched pension contributions
* Private healthcare
* Life assurance
* 26 days holiday
* 2 wellbeing days
* 1 volunteering day
* Personal and professional development
About BAM
Building a sustainable tomorrow. That’s our mission and our promise at BAM. It’s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.
We strive to create an environment where everybody feels welcome and valued. We’re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.
The application process
For more information about the vacancy and our projects, please contact Kirstin Alexander, Recruiter, BAM UK & Ireland, Email: kirstin.alexander@bam.com
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at anytime you feel you may need any reasonable adjustments, do not hesitate to speak with one of our team, and we will do our best to support you.
(Note: If any explicit dates or status indicate closing, expiry would be indicated here, but none are present in the current description.)
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