Data Analyst

Company Description

Giacom is the sole provider of Comms, Cloud, Hardware, and Billing through a single platform.

Our platform connects technology resellers and service providers to the finest IT, Comms, and Cloud products and services, allowing them to develop exceptional technology solutions for UK businesses.

We have an extensive portfolio of technology products and services that provide our partners with the competitive edge necessary to grow larger and more successful businesses by offering their customers the best solutions and customer experiences possible.

We put great emphasis on diversity and inclusivity above everything else, creating an environment where our teams can be their authentic selves, every day. We believe that by embracing varied perspectives and backgrounds, we can truly make a difference and envision a brighter future.

Are you prepared to join us on our mission to boost UK business growth through technology empowerment?

Job Description

• Department: Data and Analytics
• Salary: up to £50,000 depending on experience + Comprehensive benefits package
• Location: Hybrid - Southampton, Nelson or Hessle (minimum of 3 days a week in office)

Role Overview

The Data and Analytics Team is a new team central to supporting Giacom's aim to become a truly data-driven business. We need to treat data as a valuable business asset by making sure we have a deep understanding of it and extracting value from it to facilitate our business growth. This can be achieved either through reporting, insights and analytics or by influencing our daily interaction with customers in the myriad ways that data can enable.

As a Data Analyst, you play a key role in realizing this vision. You'll be responsible for ensuring we have a deep understanding of our data, and you'll become a reliable partner for other parts of the business through your proactive engagement and precise interpretation of their issues. You will offer valuable and actionable insights to support these issues and decision-making in the most appropriate form. You will strive to dismantle data silos and encourage data sharing across the organisation.

Responsibilities & Accountabilities

• Identify and collect data from a variety of sources, such as databases, spreadsheets, and external APIs.
• Conduct and assist data cleansing activities, preferably at the source, to ensure data accuracy, consistency, and consequently trust in our data.
• Respond to requests and proactively identify opportunities, employ statistical and analytical methods to inspect data and discover trends or patterns, and conduct experiments and tests to validate hypotheses and draw conclusions.
• Build statistical or machine learning models to make predictions or forecasts.
• Share insights and recommendations with stakeholders, presenting the data and information in the most appropriate, clear, and understandable manner.
• Ensure compliance with data privacy regulations and maintain the ethical use of data whenever processing it.

Qualifications

• Bachelor's degree in a relevant field such as statistics, mathematics, computer science, or data science or proven experience in data analytics.
• Proficiency in programming languages such as Python, R, SQL, as well as data analysis and visualization tools including Power BI and Excel.
• Experience with data cleaning, transformation, and visualization.
• Strong analytical skills with the capability to work with large, complex datasets.
• Knowledge of statistical analysis methods and techniques and the curiosity to use them.
• Problem-solving abilities and critical thinking skills.
• Attention to detail and precision in data analysis and reporting
• Effective communication skills to present findings and insights to diverse audiences.
• Ability to work independently and collaboratively in a team-oriented environment.
• Experience with machine learning algorithms and techniques (preferred, not mandatory).

Additional Information

First of all, we believe in offering you the liberty to be yourself. Say goodbye to stringent dress codes and celebrate your individuality. We encourage you to be authentic at work, creating an environment where you can flourish.

We believe in equality and diversity. As an equal opportunities and disability confident employer, we encourage applications from all eligible individuals, irrespective of their backgrounds. We embrace diversity and believe that a variety of perspectives fortifies our team and leads to greater innovation.

If reading our advert has sparked your interest in joining our team, but you're unsure if it's the right fit, feel free to apply expressing your interest. We'd love to hear from you and discuss all the exciting opportunities on offer. Your exploration of possibilities begins by reaching out to us, and we can't wait to connect with you.

And the Giacom benefits…?

From 25 days of vacation, to a pension plan, we've got you covered. Here’s a special treat – you also get an additional day off around your birthday.

We care about your well-being and engagement. Therefore, we have a dedicated team focused on ensuring your well-being and satisfaction at work. Our aim is for you to feel supported and empowered at every stage.

Recognition is significant to us. We value acknowledging your hard work and accomplishments. Hence, we host team and industry events to celebrate your successes and foster a sense of camaraderie among our team members.

We also offer an Employee Assistance Programme, helping maintain your well-being, and provide support when needed. Professional development opportunities to help you reach your personal goals are available, along with eye care vouchers and discounted Medicash membership.

So, if you're seeking a rewarding career with a market leader that values you and provides a host of fantastic benefits, look no further. Join us at Giacom and start your journey of personal and professional growth. Take the first step today by applying and explore the exciting opportunities awaiting you.

For more information on our Recruitment privacy notice, please follow this link and select option 8 to view -