At a Glance
- Tasks: Analyse IMU datasets and create detailed reports for pipeline inspections.
- Company: Fast-growing global company in the energy industry with a focus on sustainability.
- Benefits: Competitive wages, performance bonuses, flexible hours, and comprehensive health programs.
- Other info: Collaborative environment with opportunities for continuous learning and skill development.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: 3-5 years of IMU data analysis experience and relevant certifications.
The predicted salary is between 40000 - 50000 £ per year.
Job Description
As a fast-growing global company offering inspection, industrial and environmental services to the energy industry, our client develops their own high-tech equipment and software and use this technology to execute projects worldwide.
They support the energy industry to use natural resources efficiently, safely, and responsibly.
Together they get the job done and contribute to a safer and more sustainable world.
Our client is growing and looking for people who have the right stuff to join their Unique Ability
Teams.
The engineering teams are centered around identifying individual strengths, constant learning, and development of skills, and fostering an open and collaborative work environment.
Employees often find themselves outside their technical comfort zone where they learn new and valuable skills.
Job Overview
Our client is seeking an ANSI/ASNT ILI-PQ Certified Mapping Level 2 Data Analyst with relevant experience to join their dynamic team.
The ideal candidate should have strong analytical skills, a technical mindset, and the ability to thrive in a collaborative environment.
Key Responsibilities
- Process and interpret IMU datasets for quality and acceptance.
- Analyze IMU data from pipeline inspections, ensuring data accuracy.
- Perform standard and non-standard data analysis.
- Create detailed reports per client requirements.
- Provide technical support and training to the team.
Qualifications
- 3-5 years of experience in IMU data analysis, ideally in pipeline inspections.
- Strong understanding of inertial measurement technology and its application.
- Experience with time-based marker systems and client report preparation.
- Data analysis certifications are preferred.
Skills & Considered Assets
- Excellent problem-solving and communication skills.
- Ability to interpret complex data for diverse audiences.
- Experience working collaboratively in cross-disciplinary teams.
- Flexibility to work evenings and weekends if required.
Education/Certifications
- Bachelor’s degree in Engineering, Physics, Geosciences, or a related field is preferred.
- ANSI/ASNT ILI-PQ Level 2 Data Analyst certification (MFL/GEO/Mapping).
Benefits
- Competitive wages with performance bonuses.
- Comprehensive health and wellness programs.
- RRSP matching, flexible working hours, and paid time off.
Poly Tech Talent is committed to an inclusive, equitable process. Accommodations are available on request for candidates taking part in all aspects of our selection process
Data Analyst - Mapping Level 2 in Scarborough employer: Poly Services Group
As a leading player in the energy sector, our client offers an exceptional work environment that prioritises employee growth and collaboration. With a strong focus on continuous learning and development, employees are encouraged to step outside their comfort zones, gaining valuable skills while contributing to meaningful projects that promote sustainability. Located in a dynamic industry, the company provides competitive wages, comprehensive health benefits, and flexible working arrangements, making it an attractive employer for those seeking a rewarding career in data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Mapping Level 2 in Scarborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Poly Services Group!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Poly Services Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Mapping Level 2 at Poly Services Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Mapping Level 2 in Scarborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Poly Services Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Poly Services Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Poly Services Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Poly Services Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
