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For Companies At a Glance
- Tasks: Analyse data, build predictive models, and share insights to drive business success.
- Company: Join BAM, a leading construction company focused on sustainability and innovation.
- Benefits: Enjoy competitive salary, private healthcare, generous holiday, and personal development opportunities.
- Why this job: Make a real impact by transforming data into actionable insights for strategic goals.
- Qualifications: 3+ years in data analysis, experience with Power BI, and strong communication skills.
- Other info: Hybrid working available, fostering a culture of growth and inclusion.
The predicted salary is between 28800 - 43200 £ per year.
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. BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time 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.
Data Analyst in Kilsyth employer: Bam Uk & Ireland
Contact Detail:
Bam Uk & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Kilsyth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, predictive models, and visualisations. This will give you an edge during interviews and help you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research BAM UK & Ireland, understand their values, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their data-driven insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the BAM team.
We think you need these skills to ace Data Analyst in Kilsyth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience in data modelling, predictive models, and any relevant tools like Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any specific projects or achievements that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, so don't hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at BAM!
How to prepare for a job interview at Bam Uk & Ireland
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you identified data sources, built predictive models, or created algorithms. This will show your expertise and how you can contribute to BAM's goals.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to share insights with various stakeholders. Prepare examples of how you've effectively communicated complex data findings in the past. Practising clear and concise explanations will help you demonstrate your outstanding communication skills during the interview.
✨Familiarise Yourself with Power BI
Since experience with Power BI is essential for this role, brush up on your skills and be prepared to discuss how you've used it to create visualisations and reports. If possible, bring along examples of your work to showcase your capabilities.
✨Understand BAM's Values and Culture
Research BAM's mission and values to align your answers with their culture. Be ready to discuss how you can contribute to fostering a culture of learning and development within the team, as well as how you can support their strategic objectives through data-driven insights.
