Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Title: Data Analyst Apprentice

Location: Remote - UK

Schedule: Monday - Thursday

What makes this opportunity outstanding?

At Thermo Fisher Scientific Inc., we provide a highly dynamic and ambitious environment where you can truly make a difference. As a Data Analyst Apprentice, you will have the chance to work with brand-new technology and partner with different departments to promote evidence-based decision-making.

The Data Analyst Apprentice position is designed for individuals looking to start their career in data analysis. This entry-level position is ideal for individuals looking to start their career in data analysis. The apprentice will assist in collecting, processing, and analysing data to support business decisions. You will work under the guidance of experienced data analysts and gain hands-on experience with data tools and techniques.

Key Responsibilities:

Apply specific data knowledge, forecasting/analysis methods, and visualisation capabilities to offer valuable suggestions to business collaborators
Identify data sources to meet the organization's requirements, using evidence-based decision making to establish a rationale for inclusion and exclusion of various data sets and models
Analyse data to acquire meaningful business and customer insights
Participate in business and technical meetings to gather requirements and make recommendations for reporting/BI solutions
Design, build, deliver, and maintain world-class reporting for all areas of the business using Power BI, serving both internal users and external customers
Aid in the daily support of end-users to effectively and efficiently use the reporting platform
Apply SQL to develop database objects for use in reporting
Collaborate with the team and broader organization to ensure data quality and integrity in data warehouse platforms for BI reporting
Support the development of the BI roadmap based on project prioritization and budget
Communicate and collaborate with users to analyse information needs and functional requirements
Collaborate with developers and domain experts to establish the technical vision and analyse trade-offs between usability and performance needs.
Practice continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
Documentation of processes, logic and business requirements including but not limited to SOPs, process flows and ERD.

How will you get here?

NVQ Level 4 - 24 month duration
English & Math: Apprentices without level 2 English and math will need to achieve this level prior to taking the End-Point Assessment. For those with an education, health and care plan or a legacy statement, the apprenticeship’s English and maths minimum requirement is Entry Level 3. A British Sign Language (BSL) qualification is an alternative to the English qualification for those whose primary language is BSL.
Principles of statistics for analysing datasets
Principles of descriptive, predictive and prescriptive analytics
Fundamentals of data structures, data system design, implementation and maintenance
Principles of user experience and domain context for data analytics
Ability to apply a wide range of methodologies to data analysis tasks
Use a range of analytical techniques such as data mining, time series forecasting, and modelling techniques to identify and predict trends and patterns in data
Collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
Knowledge and exposure to data structures, database system design, implementation, and maintenance
Proficiency in SQL for writing queries and data mining to analyse complex data and acquire insights
Understanding of BI concepts and terminology, user experience, and domain context for data analytics
Familiarity with business processes and standard methodologies
Knowledge of data warehouse concepts, SDLF, and ETL development

Knowledge, Skills, Abilities:

Capable of prioritising multiple projects while achieving deadlines
Logical and analytical approach
Strategic, intellectually curious thinker with a focus on outcomes
Ability to identify issues quickly, investigating and solving complex problems and applying appropriate solutions. Ensures the true root cause of any problem is found and a solution is identified which prevents recurrence.
Excellent written and oral communication skills
Ability to collaborate and connect with a range of internal and external collaborators using appropriate styles and behaviours to suit the audience
Ability to collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs.
Great teammate with the ability to collaborate effectively and efficiently
Diligent and passionate about quality and new technology
Highly dedicated, innovative, and focused on execution, with a willingness to do "what it takes” to deliver results
Ability to respond and communicate in a timely manner with a sense of urgency
Awareness of ethical aspects associated with the use and collection of data
Proficiency with O365 Applications including Microsoft Outlook, Word, and Excel

Join us at Thermo Fisher Scientific Inc., where your skills can help craft the future and make a difference in the world!

Thermo Fisher Scientific jobs

Data Analyst Apprentice

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