Digital & IM Analyst: Data, Analytics & Automation in London

Digital & IM Analyst: Data, Analytics & Automation in London

London Full-Time 44595 - 54505 £ / year (est.) No working from home possible
Harbour Energy

At a Glance

  • Tasks: Create reports, dashboards, and automation to enhance data management.
  • Company: Harbour Energy, a leader in digital and information management services.
  • Benefits: Competitive salary, flexible working options, and opportunities for skill development.
  • Other info: Exciting growth opportunities in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real impact through innovative data solutions.
  • Qualifications: Experience in data analytics and strong communication skills.

The predicted salary is between 44595 - 54505 £ per year.

Harbour Energy is expanding its Mexico BU team to deliver digital and information management services.

You will work under the Digital & IM delivery supervisor, developing reports, dashboards and automation while aligning with corporate standards.

The role emphasizes hands-on reporting, requirements gathering with business users, and delivering value through practical information management solutions.

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Digital & IM Analyst: Data, Analytics & Automation in London employer: Harbour Energy

Harbour Energy is an exceptional employer that prioritises employee development and fosters a collaborative work culture. Located in a dynamic industry, we offer competitive benefits, opportunities for professional growth, and the chance to make a meaningful impact through your work in risk reporting and insights.

Harbour Energy

Contact Details:

Harbour Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Digital & IM Analyst: Data, Analytics & Automation in London

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 Harbour Energy!

Show Off Your Projects

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 Digital & IM Analyst: Data, Analytics & Automation at Harbour Energy.

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 Harbour Energy.

Apply Directly through Our Website

When you find a suitable opening like Digital & IM Analyst: Data, Analytics & Automation at Harbour Energy, 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 Digital & IM Analyst: Data, Analytics & Automation in London

Data Analysis
Report Development
Dashboard Creation
Automation Skills
Requirements Gathering
Information Management
Practical Problem-Solving

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 Harbour Energy, 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 Harbour Energy. 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 Harbour Energy

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 Harbour Energy!

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.