2,121 Power Bi Analyst jobs in the United Kingdom

• Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
• Support the team in designing and implementing data quality checks and validation processes.
• Gain exposure to statistical modeling and predictive analytics concepts.
• Learn to use programming languages such as Python or R for data manipulation and analysis.
• Understand database concepts and SQL for data extraction.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the continuous improvement of data processes and methodologies.
• Undertake a structured learning program leading to a recognised qualification in Data Analysis.

• A strong interest in data, analytics, and technology.
• A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
• Excellent problem-solving abilities and a keen eye for detail.
• Good communication and teamwork skills.
• A proactive attitude and a willingness to learn.
• Basic understanding of Excel or similar spreadsheet software is advantageous.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.

• Assist senior analysts in collecting and cleaning large datasets from various sources.
• Perform data extraction, transformation, and loading (ETL) processes under guidance.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and create clear and concise data visualizations and reports to communicate findings.
• Support the development and testing of analytical models.
• Learn and apply statistical methods and techniques relevant to data analysis.
• Collaborate with team members to understand project requirements and contribute to solutions.
• Maintain accurate documentation of data processes and analytical methodologies.
• Participate in team meetings and training sessions to enhance technical and analytical skills.
• Contribute to ad-hoc data analysis requests as needed.

• A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving abilities.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• An understanding of statistical concepts and data modelling principles.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is a plus.

Data Analyst (Power BI, Azure) - Near Edinburgh Hybrid

Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line - have asked us to help them in their searches for a Data Analyst to join their team on a permanent basis.

This key individual will take in information from a variety of sources, and help to translate this in order to identify product efficacy, performance, areas for improvement and wider business intelligence to direct the teams' next steps.

What's more, the products you'll work on improve the lives of millions of people across the globe, and so this is truly a rewarding opportunity, and everyone in the team feels part of that journey.

Here's a snapshot of the duties involved:

• Developing/maintaining metrics & reporting, analysing data and relaying relevant information collected
• Modernising the business' reporting processes and implementing automation to reduce manual reliance wherever possible while monitoring, auditing and improving data quality
• Offering Power BI training to internal users and supporting any issues which may arise
• Liaise with relevant stakeholders to gather business requirements, prioritise their places in the queue, craft relevant solutions and train them on how to use them
• Collaborate with the wider IT function to ensure reports are in line with necessary data infrastructure in place from Databases to Data Lakes/Factory/and more

The kind of skills they're looking for:

• Strong Power BI skills with the ability to train others to use it who may be less familiar
• Programming with Python and/or R
• Excel (ideally VBA)
• Background involving as many of the following as possible:
• SQL
• Azure (Key Vault/Data Factory/Data Lakes)
• Power Apps
• CRMs (ideally D365)
• Ideally existing/ eagerness to gain knowledge across Machine Learning/NLP
• Solid analytical mindset as well as communication skills to be able to work with people at all levels
• Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings

If you like what you've read so far, apply now with your latest CV for immediate consideration and let's have a chat!

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Data Analyst (Power BI, Azure) - Near Edinburgh Hybrid

Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line - have asked us to help them in their searches for a Data Analyst to join their team on a permanent basis.

This key individual will take in information from a variety of sources, and help to translate this in order to identify product efficacy, performance, areas for improvement and wider business intelligence to direct the teams' next steps.

What's more, the products you'll work on improve the lives of millions of people across the globe, and so this is truly a rewarding opportunity, and everyone in the team feels part of that journey.

Here's a snapshot of the duties involved:

• Developing/maintaining metrics & reporting, analysing data and relaying relevant information collected
• Modernising the business' reporting processes and implementing automation to reduce manual reliance wherever possible while monitoring, auditing and improving data quality
• Offering Power BI training to internal users and supporting any issues which may arise
• Liaise with relevant stakeholders to gather business requirements, prioritise their places in the queue, craft relevant solutions and train them on how to use them
• Collaborate with the wider IT function to ensure reports are in line with necessary data infrastructure in place from Databases to Data Lakes/Factory/and more

The kind of skills they're looking for:

• Strong Power BI skills with the ability to train others to use it who may be less familiar
• Programming with Python and/or R
• Excel (ideally VBA)
• Background involving as many of the following as possible:
• SQL
• Azure (Key Vault/Data Factory/Data Lakes)
• Power Apps
• CRMs (ideally D365)
• Ideally existing/ eagerness to gain knowledge across Machine Learning/NLP
• Solid analytical mindset as well as communication skills to be able to work with people at all levels
• Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings

If you like what you've read so far, apply now with your latest CV for immediate consideration and let's have a chat!

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

DATA ANALYSIS & RESEARCH MANAGER (PREVENTION)

Salary: £47,000 - £53,000 per annum

Reports to: Senior Cancer Intelligence Manager (Prevention and Epidemiology)

Directorate: Policy, Information and Communications

Contract: 12 month fixed-term contract / secondment

Working hours: 35 hours per week (we are open to compressed hours or 4 days part-time)

Location: Stratford, London w/ high-flex (1 - 2 days per week in the office)

Closing date: Wednesday 8 October 2025, 23:55

Please note: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship.

At Cancer Research UK, we exist to beat cancer.

We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who shares our vision, someone like you.

We have an exciting opportunity for you to join us as a Data Analysis & Research Manager (Prevention). We need you to manage a small team of analysts/senior analysts delivering analysis and interpretation around the prevention of cancer. You'll provide sign off for project outputs and messaging to be used externally and within CRUK.

Further to this, you'll maintain and enhance links with CRUK teams, and with external partners and data providers. You'll also develop objectives and priorities for CRUK's prevention analysis workstream, in collaboration with colleagues.

Cancer Research UK's Cancer Intelligence (CI) team is part of our Evidence & Implementation (E&I) department within the Policy, Information and Communications directorate. The E&I department is integral in driving impact for people affected by cancer and improving patient outcomes by placing evidence at the heart of the charity's work. Through robust research, the department shapes and drives improvements to cancer policy and practice across prevention, early diagnosis, treatment, outcomes, inequalities, and innovation.

What will I be doing?

• Managing the analysis and interpretation of statistical information related to cancer prevention, to inform the charity's policy, information and influencing functions
• Ensuring insights are generated in a timely fashion
• Overseeing delivery of analytical projects from development to completion
• Line managing analysts/senior analysts, ensuring direct reports are coached and supported in their roles to deliver projects and seek out opportunities for learning and development
• Project managing analysts/senior analysts matrix working on prevention and agreeing ways of working with their line manager(s)
• Overseeing the development and quality assurance of prevention statistics messaging for external and/or internal use, taking responsibility for review and final sign-off. Contributing to sign-off on general statistics and press enquiries, meeting tight deadlines as needed.
• Developing and maintaining knowledge of PIC's strategic priorities, contributing to ideas for data/analysis projects that align with our strategic priorities and/or evidence gaps.
• Ensuring that statistical information is adapted/communicated for a range of audiences (including to non-statistical teams) as appropriate
• Attending/chairing CRUK working groups and other appropriate forums to become a recognised expert within and beyond CRUK, and to obtain insights on emerging priorities shared by other teams and organisations
• Compiling regular progress reports against project plans for key stakeholders, managing stakeholder engagement and communication and ensuring decisions can be made at key milestones.

What skills will I need?

• Significant knowledge or experience of working in an analytical or statistical environment
• Experience of project management, and matrix management of projects
• Experience of people management
• Proven track record of building and nurturing highly effective relationships with a diverse range of stakeholders
• Confident self-starter, able to manage own workload and hold self and others accountable for delivery of projects and activity
• Excellent problem-solving skills and 'can do' attitude
• Excellent written and verbal communication skills and ability to communicate with a range of audiences and levels. Able to translate complex statistical data into messaging for varied audiences.
• Awareness of the use of technical skills, including database knowledge, SQL, STATA, R or similar programming skills and advanced Excel would be an advantage
• Degree in statistical or epidemiological field or equivalent work experience
• Some knowledge and understanding of cancer and/or health statistics.

What will I gain?

Each and every one of our employees contributes to our progress and is supporting our work to beat cancer. We think that's impressive.

In return, we make sure you are supported by a generous benefits package, a wide range of career and personal development opportunities and high-quality tools, policies and processes to enable you to do your job well.

Our benefits package includes a substantial retirement plan, a generous and flexible leave allowance, discounts on anything from travel to technology, gym membership, and much more.

We don't forget people have lives outside of work too and so we actively encourage a flexible working culture.

Our work - from funding cutting-edge research to developing public policy - will change the world. It's exciting to be part of our team.

How do I apply?

We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively.

• Analyze geological, geochemical, and geophysical data to identify exploration targets.
• Develop and interpret 3D geological models and resource estimates.
• Assess the viability and potential of mineral resource projects.
• Utilize advanced geological software for data analysis and visualization.
• Collaborate remotely with cross-functional exploration teams.
• Contribute to the development of exploration strategies and budgets.
• Ensure the quality and accuracy of geological datasets and reports.
• Prepare technical reports and presentations for management.
• Stay abreast of new technologies and methodologies in mineral exploration.
• Maintain knowledge of global mining trends and commodity markets.

• MSc or PhD in Geology, Economic Geology, or a related field.
• Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
• Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
• Strong understanding of mineral deposit types and exploration techniques.
• Excellent analytical, critical thinking, and problem-solving skills.
• Experience with geological data management systems.
• Ability to work independently and manage projects effectively in a remote setting.
• Strong written and verbal communication skills.
• Familiarity with scripting languages (Python, R) is a plus.

• Comprehensive training in data collection, cleaning, and preparation techniques.
• Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
• Developing skills in data interpretation, statistical analysis, and report generation.
• Gaining practical experience through real-world projects and tasks.
• Mentorship from experienced data analysts and professionals.
• Hybrid learning model: structured remote study combined with on-site work experience.
• Opportunity to earn a recognized qualification upon completion.
• Pathway to potential full-time employment with partner companies.

• Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
• A genuine interest in data analysis and technology.
• Strong numerical and analytical abilities.
• Good problem-solving skills and attention to detail.
• Effective communication and interpersonal skills.
• Ability to work collaboratively in a team and independently.
• Commitment to completing the full apprenticeship program.
• Must be eligible to work in the UK and not currently in full-time education.