Data Analyst Apprenticeship

Why choose this apprenticeship?

This training will improve evidence-based decision making, reporting accuracy and business insight.

Who is it for?

Data analysts, MI/reporting analysts and staff using data to support decisions.

What is taught?

• Data collection, cleansing and analysis
• Statistics
• Visualisation and dashboards
• Databases
• Ethics
• Security
• Communication and insight generation.

Delivery model

• Delivery is typically organised through a day release model with apprentices attending structured learning on a consistent, agreed day while continuing in their role. This allows them to develop technical knowledge and apply it directly to live datasets and business challenges.
• The programme uses a blended approach, combining in-person teaching, guided online learning and workplace-based activity. This ensures flexibility while maintaining a clear structure and pace of development.
• Scheduling can be aligned to employer priorities, including quieter operational periods where possible and adapted to reflect the types of data projects apprentices are working on.
• Start points can be planned to match workforce needs and sequencing of topics can support real-time application in the workplace.

Duration

Usually 24 months.

Employer considerations

• Assigning line manager/supervisor time to support the apprentice. Line managers play a key role in supporting progress through regular check-ins, setting relevant work-based tasks and enabling opportunities to practise the new skills learnt on the apprenticeship.
• Time away from work to attend college sessions and learning activities.
• Participation in a structured review cycle to track development and progress – this helps keep the training aligned to business need.
• Participation in an initial skills assessment.

What happens next?

• On completion, apprentices can progress into more advanced data-focused roles such as senior data analyst, business intelligence specialist or data engineering pathways, depending on organisational requirements.
• They may also move into emerging areas including AI-supported analytics, data-driven decision roles, or specialised reporting and insight functions.
• Further development opportunities include progression onto higher-level apprenticeships or technical qualifications, supporting deeper expertise in areas like advanced analytics, data architecture or data science.

Why choose Gateshead College?

• Digital apprenticeships at Gateshead College are designed to reflect real workplace data challenges, ensuring apprentices gain practical experience with tools, techniques and problem-solving approaches used in industry.
• Training is informed by current employer demand and evolving trends in data and digital roles, helping ensure relevance and up-to-date skills development.
• Strong employer engagement supports a delivery model that focuses on applied learning, live data scenarios and continuous development, rather than purely theoretical knowledge.
• Links with regional networks and industry partners provide additional opportunities for knowledge sharing, employer collaboration and awareness of emerging practices in data and analytics.