Nicholas Averillo (or "Nick", as we know him) is an experienced data professional that is passionate about making a difference. He believes that the technology industry never sleeps and that constant growth is necessary to provide clients with the best service possible.

What do you do at BI:PROCSI?

I am a Data Consultant at BI:PROCSI; I am involved in the initial gathering and analysis stage of the data pipeline journey.

What initially attracted you to working for BI:PROCSI?

The thing that initially attracted me to working for BI:PROCSI was individual development, the ability to learn on the job and branch out from what you are used to and getting out of your comfort zone.

How has your role at BI:PROCSI contributed to your personal and professional growth?

My role at BI:PROCSI has enabled me to get an overview of all the working pieces within a data pipeline and establish where I fit in within the business and the types of roles I would be most interested in developing skills within.

What do you enjoy most about working for BI:PROCSI?

The people and the support are unrivalled to any other workplace I have been in before; the ability to ask for help in areas which aren’t your expertise and get help from people who have a wealth of knowledge in areas outside of your current remit.

The fact that there is a structured plan outlined between employees and managerial members of staff on how to develop skills to allow for not just individual success but also bring value and success to the business.

How would you describe the BI:PROCSI culture?

Second to none, definitely the best working environment that I have been in over the past 5 years of my career, the knowledge and expertise amongst the team is incredible, and there is always someone there to help when you are in need.

In your opinion, what sets BI:PROCSI apart from other organisations in our industry?

Clear career progression and constant exposure to different aspects of the data pipeline journey. The ability to be able to have fluidity with your job role i.e. you could start as a Data Consultant like myself but find Data Science, Warehousing or Full Stack Development is where you would like to be upon exposure to different parts of the development lifecycle and being able to pivot learning to focus on the aspects which you find an aptitude for.

How does BI:PROCSI support employee work-life balance?

Firstly, BI:PROCSI offers flexible work arrangements such as telecommuting or flexible schedules. This allows employees to balance their personal and work commitments better.

Secondly, BI:PROCSI provides paid time off, such as vacation days and parental leave to employees. This ensures that employees can take time off work to attend to personal commitments or to spend time with their families without worrying about losing their jobs or income.

Lastly, BI:PROCSI fosters a culture of work-life balance by encouraging all colleagues to respect each other's time outside of work and avoid overworking or contacting employees outside of business hours. This helps employees to maintain a healthy work-life balance and secure their personal time.

What are opportunities for advancement and career development available at BI:PROCSI?

The opportunities for advancement and career development are endless at BI:PROCSI because of your exposure to lots of different technology stacks across multiple industries. You are able to move vertically as well as horizontally within the business. If a certain aspect of the business interests you, then you can speak with a relevant member of staff within the business, and they will tell you the requirements for the role that you wish to pursue. One of the greatest things is that if you show an aptitude for that role you will get it there are no time frames i.e. you have to have 5 years of experience, as long as you show you are determined to excel in that aspect, the sky is not the limit within the company.

What advice would you give to someone interested in pursuing a career in data?

• Have a strong foundation in mathematics and Computing.
• Learn programming languages such as Python, SQL, R, etc.
• Develop a good understanding of database management systems.
• Participate in data-related competitions and projects.
• Engage in online data communities and discussion forums.
• Attend workshops, seminars, and training programs related to data.
• Keep up with current trends in the data field.
• Create a portfolio with projects to showcase your skills and achievements.
• Network with professionals in the industry and explore internship opportunities.