Apprentice - MIS Data Analyst

Job description

JLL empowers you to shape a brighter way.   Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.    Data Analyst - Apprentice Job Description Position Overview The Data Analyst Apprentice role provides an opportunity to begin a career in data analytics within a leading commercial real estate organization. This entry-level position combines on-the-job training with structured learning to develop foundational analytical skills, technical proficiency, and business acumen. The apprentice will work closely with experienced analysts and cross-functional teams to support data-driven decision-making across JLL's operations. Key Responsibilities Data Collection & Preparation The apprentice will assist in gathering data from various sources including databases, spreadsheets, and internal systems. They will learn to clean, organize, and prepare datasets for analysis, ensuring accuracy and consistency. This foundational work supports the broader analytics team in delivering reliable insights to business stakeholders. Basic Analysis & Reporting Under supervision, the apprentice will perform descriptive statistical analysis, identify basic trends and patterns, and contribute to regular reporting processes. They will help maintain standard reports and dashboards, learning to interpret data and communicate findings clearly to team members and stakeholders. Data Visualization Support The apprentice will assist in creating charts, graphs, and visual representations of data using tools such as Excel, Power BI, or Tableau. They will learn best practices for data visualization and support the development of dashboards that make information accessible and actionable for business users. Documentation & Quality Assurance Maintaining clear documentation of data processes, methodologies, and report specifications is essential. The apprentice will participate in data quality checks, validate outputs, and help ensure that analytical work meets established standards and business requirements. Continuous Learning & Development This apprenticeship combines practical experience with formal education or training programs. The apprentice will participate in structured learning activities, complete coursework or certifications, and actively develop technical and professional skills under the guidance of mentors and managers. Required Qualifications Education Currently pursuing or recently completed A-levels, B.Tech, or equivalent qualifications with strong performance in Mathematics, Statistics, Computer Science, or related subjects. Enrollment in or eligibility for a recognized apprenticeship program in Data Analytics, Business Intelligence, or related field is required. Basic Technical Skills Fundamental proficiency in Microsoft Excel including formulas, basic functions, and chart creation is essential. Interest in and aptitude for learning programming languages (SQL, Python, R) and data visualization tools (Power BI, Tableau) is required. Basic computer literacy and comfort with learning new software applications are expected. Analytical Aptitude Demonstrated interest in working with numbers and data. Strong attention to detail with the ability to spot patterns and anomalies. Logical thinking and problem-solving skills with a methodical approach to tasks. Curiosity about how data can inform business decisions. Communication Skills Good written and verbal communication skills with the ability to explain findings clearly. Willingness to ask questions and seek guidance when needed. Ability to collaborate effectively with team members and contribute to group projects. Personal Attributes Enthusiastic and motivated to learn new skills and grow professionally. Reliable and organized with the ability to manage time effectively and meet deadlines. Adaptable to changing priorities and comfortable working in a fast-paced professional environment. Commitment to completing apprenticeship requirements and developing a long-term career in analytics. Desired Attributes • Basic understanding of statistical concepts • Exposure to SQL or other database query languages through coursework or personal projects • Familiarity with data visualization principles • Interest in commercial real estate, property management, or business services • Participation in relevant extracurricular activities (coding clubs, data competitions, business studies) • Basic understanding of business operations and metrics Learning & Development On-the-Job Training The apprentice will receive structured training from experienced data analysts and team leaders, gaining practical experience across various analytical techniques, tools, and business applications. Regular feedback and performance reviews will support skill development and career progression. Formal Education Participation in an accredited apprenticeship program leading to a recognized qualification (such as Level 3 or Level 4 Data Analyst certification). Coursework will cover statistics, database management, programming, data visualization, and business analytics fundamentals. Mentorship Assignment of a dedicated mentor who will provide guidanc