Data Analyst

About The Company

IO Sphere is a forward-thinking organization dedicated to transforming the way individuals access and develop skills in the data industry. With a focus on inclusive growth and practical training, IO Sphere aims to bridge the gap between aspiring data professionals and leading employers. Our innovative programs are designed to provide real-world experience, fostering talent that meets the demands of the modern data-driven economy. As a company committed to diversity and equal opportunity, IO Sphere collaborates with a wide network of industry partners to create pathways for individuals from all backgrounds to succeed in the data analytics field.

About The Role

The Data Analyst - Experience Accelerator role at IO Sphere is a unique opportunity for individuals eager to launch their careers in data analysis. This position is part of a comprehensive, fully funded 10-week training program designed to equip participants with essential skills and hands-on experience. The role involves working with real data sets, developing analytical capabilities, and preparing participants to meet the requirements of entry-level data analyst positions in top companies. Successful candidates will demonstrate a strong drive to learn, problem-solving abilities, and a passion for turning data into actionable insights. Post-training, top performers will be introduced directly to our network of hiring partners, paving the way for meaningful employment opportunities in the data industry.

Qualifications

No formal degree or prior experience in data analysis is required to apply for this program. Ideal candidates are ambitious individuals who are curious, analytical, and eager to learn. Basic computer literacy and a strong interest in working with data are essential. Candidates should reside in Greater London and be prepared to commit full-time for the duration of the 10-week training. A proactive attitude, problem-solving mindset, and a willingness to engage fully in hands-on projects are crucial. We value diversity and encourage applications from underrepresented backgrounds, with adjustments available upon request to ensure accessibility for all applicants.

Responsibilities

During the program, participants will be responsible for engaging in intensive training activities that include analyzing large data sets, writing SQL queries to extract relevant information, and building dashboards using Power BI or Excel. They will collaborate with peers and industry coaches to solve real-world business problems, develop insights, and communicate findings effectively to stakeholders. Participants will also be expected to maintain a portfolio of their work, demonstrating their skills and growth throughout the course. Post-training, top performers will be supported in securing employment by leveraging our employer network, attending interviews, and continuing their professional development through career coaching and mentorship.

Benefits

Participants in the Data Analyst - Experience Accelerator program will receive numerous benefits, including a fully funded, intensive 10-week training course led by industry experts. This program offers practical, real-world experience working with large datasets, building a professional portfolio, and gaining industry-recognized skills. Additionally, participants will benefit from six months of dedicated career coaching, resume support, interview preparation, and direct introductions to hiring employers within our extensive network. Successful candidates will have the opportunity to transition into paid roles with leading companies such as Uber, British Airways, Bumble, and Capgemini, among others. The program also fosters a supportive community, empowering individuals to build confidence and accelerate their careers in data analysis.

Equal Opportunity

IO Sphere is committed to promoting diversity, equity, and inclusion in all aspects of its programs and operations. We welcome applicants from all backgrounds, regardless of race, gender, age, disability, or socioeconomic status. Our selection process is based on merit, skills, and potential, ensuring equal opportunities for everyone interested in pursuing a career in data analysis. Adjustments and accommodations are available upon request to support candidates throughout the application and training process. We believe that a diverse workforce enhances innovation and success, and we strive to create an inclusive environment where all individuals can thrive.