Hybrid Contact Centre Data & Insight Analyst

Hybrid Contact Centre Data & Insight Analyst

Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Utilita Energy

At a Glance

  • Tasks: Transform data into impactful business insights using SQL, Power BI, and Excel.
  • Company: Join Utilita Energy, a forward-thinking company in the energy sector.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
  • Other info: Be part of a dynamic team in a supportive environment.
  • Why this job: Make a real difference by turning data into actionable insights for the business.
  • Qualifications: Detail-oriented with a passion for data and strong communication skills.

The predicted salary is between 30000 - 40000 £ per year.

Utilita Energy is looking for a Contact Centre Reporting Analyst to join our team in Chandlers Ford. The successful candidate will play a vital role in transforming data into meaningful business insights.

Responsibilities include gathering and analyzing data, using tools like SQL, Power BI, and Excel, to create reports and dashboards. Applicants should be detail-oriented and passionate about data with strong communication skills to effectively convey insights to stakeholders.

Hybrid Contact Centre Data & Insight Analyst employer: Utilita Energy

Utilita Energy is an excellent employer that fosters a collaborative and innovative work culture in the heart of Chandlers Ford. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring our team members can thrive in their careers while contributing to meaningful insights that drive our business forward. Join us for a rewarding experience where your passion for data will be valued and recognised.

Utilita Energy

Contact Details:

Utilita Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Contact Centre Data & Insight Analyst

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 Utilita 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 Hybrid Contact Centre Data & Insight Analyst at Utilita 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 Utilita Energy.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Contact Centre Data & Insight Analyst at Utilita 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 Hybrid Contact Centre Data & Insight Analyst

Data Analysis
SQL
Power BI
Excel
Report Creation
Dashboard Development
Attention to Detail

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 Utilita 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 Utilita 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 Utilita 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 Utilita 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.