At a Glance
- Tasks: Build and maintain data infrastructure to drive company growth and insights.
- Company: Join a leading mining industry client with a focus on innovation.
- Benefits: Enjoy a hybrid work schedule, competitive salary, and career development opportunities.
- Other info: Permanent role with excellent growth potential in a dynamic environment.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Expertise in Power BI, strong problem-solving skills, and collaborative mindset.
The predicted salary is between 63000 - 77000 £ per year.
On behalf of our mining industry client, Procom is searching for a Sr. Data Analytics Developer for a permanent role. This position is a hybrid position with 3 days onsite at our client’s Calgary office.
The Sr. Data Analytics Developer will be responsible for building and maintaining the data infrastructure crucial to the company's products. The role involves organizing, collecting, and interpreting data to generate actionable insights that drive company growth and inform decision-making.
Responsibilities:- Design, develop, and maintain enterprise-scale Power BI semantic models (tabular)
- Architect scalable and high-performance data models for multi-tenant SaaS analytics
- Define best practices for dataset design, governance, and lifecycle management
- Optimize model performance, DAX calculations, aggregations, and storage strategies
- Manage and enhance Power BI service environments, including workspaces and deployment pipelines
- Monitor and improve analytical database performance in cloud environments
- Conduct model tuning and capacity optimization for growth and usage scaling
- Evaluate and enhance current analytics platform architecture
- Partner with teammates for ETL and data pipeline improvements
- Provide technical guidance on semantic layer design and analytics best practices
- Support cross-functional stakeholders with scalable reporting architecture
- Assist in resolving high-priority analytics platform issues
- Expertise in Power BI data modeling and Power BI services
- Strong performance optimization and tuning skills
- Security-conscious with a focus on data protection and system reliability
- Collaborative team player with effective problem-solving skills
- Experience with databases for high-performance, multi-tenant web applications
- Familiarity with Azure cloud data services
- Strong attention to detail and critical thinking skills
- Experience in the energy, drilling, and/or mining sector
- Experience with Tabular Editor
- Familiarity with modern data development technologies (data engineering, pipeline, ETL)
- Experience with development tools including Git, Azure, DevOps, Visual Studio, Jira
- Mentor and continuous learner who enjoys elevating others
Start Date: ASAP.
Assignment Location: Calgary, AB with a hybrid work schedule requiring 3 days in the office.
Sr. Data Analytics Developer in Isle Of Mull employer: Procom
Join a forward-thinking mining industry leader in Calgary as a Sr. Data Analytics Developer, where you will play a pivotal role in shaping data-driven strategies that fuel company growth. Enjoy a hybrid work environment that fosters collaboration and innovation, alongside opportunities for professional development and mentorship. With a strong emphasis on employee well-being and a culture of continuous learning, this is an excellent opportunity for those looking to make a meaningful impact in the analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Data Analytics Developer in Isle Of Mull
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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 Procom!
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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 Procom.
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We think you need these skills to ace Sr. Data Analytics Developer in Isle Of Mull
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 Procom, 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 Procom. 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 Procom
✨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 Procom!
✨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.
