Remote Analytics Engineer: AI Dashboards & Insights

Remote Analytics Engineer: AI Dashboards & Insights

Full-Time 80000 - 80000 £ / year (est.) Home office (partial)
Lithe Consulting Ltd

At a Glance

  • Tasks: Design and build enterprise analytics products, focusing on high-quality datasets and dashboards.
  • Company: Lithe Consulting Ltd, a forward-thinking company in the analytics space.
  • Benefits: Competitive salary of £80,000 or £435/day contract, with remote work flexibility.
  • Other info: Remote role with occasional meetings in London or Sheffield.
  • Why this job: Join a dynamic team and help stakeholders make data-driven decisions.
  • Qualifications: Experience in analytics and software engineering is essential.

The predicted salary is between 80000 - 80000 £ per year.

Lithe Consulting Ltd is seeking a Software Engineer specializing in Analytics & Insights to design and build enterprise analytics products. The role is focused on developing high-quality datasets, dashboards, and analytical tools that help stakeholders make informed decisions from data.

This position is primarily remote, with occasional meetings in London or Sheffield, and offers a competitive salary of £80,000 per annum or an inside IR35 contract at £435/day.

Remote Analytics Engineer: AI Dashboards & Insights employer: Lithe Consulting Ltd

Lithe Consulting Ltd is an excellent employer for those seeking a dynamic and innovative work environment. With a focus on remote flexibility, competitive salaries, and opportunities for professional growth, employees are encouraged to thrive while contributing to impactful analytics solutions. The collaborative culture fosters creativity and teamwork, making it a rewarding place to develop your career in the heart of the UK's tech landscape.

Lithe Consulting Ltd

Contact Details:

Lithe Consulting Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Analytics Engineer: AI Dashboards & Insights

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 Lithe Consulting Ltd!

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 Remote Analytics Engineer: AI Dashboards & Insights at Lithe Consulting Ltd.

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 Lithe Consulting Ltd.

Apply Directly through Our Website

When you find a suitable opening like Remote Analytics Engineer: AI Dashboards & Insights at Lithe Consulting Ltd, 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 Remote Analytics Engineer: AI Dashboards & Insights

Python
Communication Skills
Problem-Solving Skills
SQL
Automation
Data Engineering
Data Pipeline Development

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 Lithe Consulting Ltd, 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 Lithe Consulting Ltd. 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 Lithe Consulting Ltd

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 Lithe Consulting Ltd!

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.