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As a Data Mentor, you’ll play a pivotal role in shaping the next generation of data professionals – not through traditional classroom delivery, but through impactful, one-to-one mentoring that builds confidence, sharpens analytical thinking, and develops real-world capability. You will be a key figure in supporting our apprentices enrolled on the Level 3 Data Technician Apprenticeship Standard throughout their learning journey.
Job Responsibility:
Conduct regular one-to-one mentoring sessions (virtually and occasionally in person) with apprentices enrolled on the Level 3 Data Technician Apprenticeship
Coach and support apprentices to overcome technical and professional challenges, stay motivated, and achieve their learning and workplace objectives
Support learners in developing core data competencies including: Data collection and validation, Data cleansing and transformation, Data analysis and interpretation, Creating dashboards and visualisations, Using tools such as Excel, SQL, Power BI (or equivalent data platforms), Understanding data governance, security, and ethics
Monitor progress against key milestones, including portfolio development, workplace project evidence, and preparation for End Point Assessment (EPA)
Provide constructive, developmental feedback on learners’ work, helping them connect technical knowledge with practical business impact
Maintain accurate records of mentoring sessions, tracking learner progress and identifying any support needs, risks, or safeguarding concerns
Liaise with employers, trainers, and internal delivery teams to ensure a joined-up and supportive approach to learner development
Stay up to date with current data industry trends, tools, and best practice to ensure mentoring reflects real-world data environments
Champion Althaus’s core values: Taking Ownership, Bridging the Digital Divide, Embracing the Future, and Unlocking Potential
Requirements:
Proven experience working in a data-focused role (e.g., Data Analyst, Data Technician, BI Analyst) with mentoring, coaching, or line management experience
Strong working knowledge of core data tools and concepts, such as: Excel (advanced functions, pivot tables, analysis tools), SQL, Data visualisation tools (e.g., Power BI, Tableau or similar), Basic database concepts, Data quality, governance, and compliance principles
Passion for developing others through coaching and mentoring (formal teaching qualifications not required)
Excellent communication and interpersonal skills, with the ability to build trust and motivate learners
Empathetic, patient, and learner-focused approach
Strong organisational skills and attention to detail, particularly in tracking progress and documentation
Nice to have:
Teaching Qualification / PTLLS (or equivalent)
Assessor qualification (e.g., CAVA) or experience supporting apprenticeship standards
Experience preparing learners for End Point Assessment within an apprenticeship framework
Experience mentoring or supporting learners on the Level 3 Data Technician Standard (or similar data-related qualifications)
What we offer:
25 days annual leave, increasing with length of service
Your birthday off
Office shutdown during the festive period
Flexible working options
Ongoing investment in your professional development