At a Glance
- Tasks: Analyse complex datasets and collaborate on data-driven initiatives.
- Company: Join Epiroc, a leader in mining technology, in Perth.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Opportunity to work with cutting-edge tools like Python, Tableau, and AWS.
- Why this job: Make an impact by enhancing decision-making through innovative data analytics.
- Qualifications: Bachelor's degree in a relevant field and 3 years of data analytics experience.
The predicted salary is between 54000 - 66000 £ per year.
Data Analytics Specialist at Epiroc.
About the role Join Epiroc, a prominent name in mining technology, as a Data Analytics Specialist in Perth, Australia.
This full-time position is situated within the Equipment & Service Business Area, where you will play a vital role in advancing research and development efforts.
You will collaborate with a new team focused on innovation, utilizing data analytics to enhance both operational and strategic decision-making.
Key facts Location: Bayswater, Perth, Australia Engagement: Full-time Team: Equipment & Service Business Area
What you'll do
- Analyze complex datasets to support decision-making processes.
- Collaborate with cross-functional teams to drive data-driven initiatives.
- Develop and implement advanced analytics solutions to improve operational efficiency.
- Present insights and findings to stakeholders to inform strategic planning.
Requirements
- Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
- A minimum of 3 years of experience in data analytics or a similar role.
- Proficiency in data visualization tools such as Tableau or Power BI.
- Strong skills in programming languages such as Python or R.
- Familiarity with SQL for database management and querying.
- Nice to have
- Experience in the mining or heavy machinery industry.
- Knowledge of machine learning techniques and algorithms.
- Familiarity with cloud platforms like AWS or Azure.
Skills & tools
- Data visualization tools: Tableau, Power BI
- Programming languages: Python, R
- Database management: SQL
- Cloud platforms: AWS, Azure
This position is open to candidates with valid work authorization in Australia.
Epiroc offers a range of benefits, including competitive salary packages and opportunities for professional development.
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Data Analytics Specialist employer: Epiroc
Epiroc is an excellent employer, offering a dynamic work culture that prioritises safety and efficiency while empowering Field Service Engineers to make a real impact in the field. With opportunities for professional growth and development, employees benefit from a supportive environment that values collaboration and innovation, all while enjoying the flexibility of working from home in the beautiful Southwest UK region.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Specialist
✨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 Epiroc!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics Specialist at Epiroc.
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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 Epiroc.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Analytics Specialist
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 Epiroc, 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 Epiroc. 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 Epiroc
✨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 Epiroc!
✨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.
