What Jobs are available for Data Analysts in Edinburgh?

• Analyze and interpret seismic, well log, and other subsurface data.
• Develop and validate geological models for exploration and production.
• Identify and assess potential hydrocarbon resources.
• Utilize advanced software for data processing and visualization.
• Collaborate with multidisciplinary teams remotely.
• Prepare technical reports and present findings to stakeholders.
• Contribute to risk assessment and mitigation strategies.
• Stay current with new technologies and methodologies in geosciences.
• Mentor junior geoscientists on data analysis techniques.
• Optimize data workflows for efficiency and accuracy.

• MSc or PhD in Geoscience, Geophysics, or a related field.
• Extensive experience in geological data analysis and interpretation.
• Proficiency in industry-standard G&G software (e.g., Petrel, Kingdom Suite).
• Strong understanding of seismic interpretation and well correlation.
• Experience with reservoir characterization and volumetrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and manage time effectively in a remote environment.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with remote teams.

Who We Are:

We are looking for a Data Analyst on a 6 month contract, can be based in Edinbrugh, Leeds, Halifax or Manchester with some travel to a local office. Mostly remote.

• Strong understanding of business reporting processes and experience in delivering reporting solutions that drive customer, colleague, and commercial value
• Ability to capture and translate business data requirements into clear specifications for reporting and analysis
• Proficiency in data wrangling techniques to clean, transform, and prepare data for reporting and reconciliation
• Experience transitioning reporting from legacy platforms to cloud environments, ideally GCP
• Familiarity with reconciliation testing to validate data accuracy and consistency across systems and reports
• Ability to analyse business tools and data flows to document data dictionaries and lineage
• Understanding of modern data strategy, including the importance of data quality, governance, and accessibility
• Strong communication skills to engage both technical and non-technical stakeholders, using data storytelling to highlight the value of reporting and insights

Equal Opportunities:

At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.

We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.

• Assist in collecting data from various sources, ensuring accuracy and completeness.
• Support the cleaning and preprocessing of datasets to prepare them for analysis.
• Learn to perform basic data analysis and generate reports under supervision.
• Help in identifying trends, patterns, and insights within data.
• Contribute to the development of data visualizations to communicate findings effectively.
• Shadow senior analysts and participate in team meetings to understand project workflows.
• Develop proficiency in data analysis tools and software (e.g., Excel, SQL, Python basics).
• Maintain data integrity and ensure compliance with data protection policies.
• Undertake assigned learning modules and assignments as part of the apprenticeship program.
• Provide general support to the data analytics team as required.

• A genuine passion for data and analytical problem-solving.
• Good numeracy and literacy skills, with a minimum of 5 GCSEs (or equivalent) including Maths and English.
• A proactive and eager-to-learn attitude.
• Ability to follow instructions and work diligently.
• Basic IT literacy, including familiarity with Microsoft Office Suite.
• Excellent communication and interpersonal skills.
• A desire to build a career in data analytics.
• Eligibility to undertake an apprenticeship program (e.g., right to work in the UK, residency requirements).
• Willingness to commute to our office in Edinburgh, Scotland, UK for collaborative work and training, alongside remote working flexibility.
• Problem-solving mindset and a meticulous approach to tasks.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform basic data analysis and generate reports under the guidance of senior analysts.
• Help in the creation of visualizations and dashboards to communicate data insights effectively.
• Support the team in identifying trends and patterns within datasets.
• Learn and apply various data analysis tools and techniques, including SQL and Excel.
• Participate in team meetings and contribute to project discussions.
• Gain exposure to data warehousing concepts and database management.
• Assist in the documentation of data processes and analytical findings.
• Develop foundational knowledge in statistical analysis and business intelligence.
• Adhere to data privacy and security protocols at all times.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development and testing of statistical models and algorithms.
• Create visualizations and reports to communicate findings to team members and stakeholders.
• Learn and apply various data analysis tools and techniques, including SQL, Python, R, and data visualization software.
• Collaborate with senior data analysts and scientists on ongoing projects.
• Contribute to data quality assurance and documentation processes.
• Participate in team meetings and training sessions to enhance your analytical skills.
• Help in identifying opportunities for process improvements in data management and analysis.
• Gain exposure to real-world business challenges and how data-driven solutions are applied.

• Assist in collecting and cleaning data from various internal and external sources.
• Perform data analysis using statistical techniques and software tools to identify trends, patterns, and insights.
• Develop and maintain reports, dashboards, and visualizations to present findings to stakeholders.
• Support senior analysts and business units in understanding data requirements and providing analytical solutions.
• Collaborate with IT and data engineering teams to ensure data accuracy and accessibility.
• Contribute to the development and implementation of data quality standards.
• Learn and apply various analytical methodologies and business intelligence tools.
• Participate in training programs to develop skills in data manipulation, analysis, and presentation.
• Assist in ad-hoc data requests and projects as needed.
• Help in identifying opportunities for process improvement through data-driven insights.

• Recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in Microsoft Excel, including pivot tables, VLOOKUPs, and basic formulas.
• Basic understanding of database concepts and SQL is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Proactive attitude and a strong desire to learn and develop within the data analytics field.
• Enthusiasm for the financial services industry.
• Eligibility to work in the UK.

• Assist in the collection, cleaning, and processing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports, dashboards, and visualizations using tools like Tableau or Power BI.
• Support senior analysts in conducting statistical analysis and hypothesis testing.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Contribute to the development and improvement of data models and data quality processes.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Stay up-to-date with the latest industry trends and data analysis techniques.

• A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and methodologies.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with at least one data visualization tool (e.g., Tableau, Power BI, QlikView).
• Basic knowledge of a programming language such as Python or R for data analysis is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal abilities, with the capacity to explain complex data in simple terms.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work effectively both independently and as part of a team.

• Assist in collecting, cleaning, and organising large datasets from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Support the development of reports, dashboards, and visualisations using tools like Tableau or Power BI.
• Collaborate with business stakeholders to understand data requirements.
• Contribute to data quality assurance processes.
• Learn and apply statistical methods and programming techniques (SQL, Python/R).
• Assist in the interpretation of data findings and communicate insights to the team.
• Participate in team meetings and contribute to project discussions.
• Maintain documentation of data processes and analysis.
• Support ad-hoc data analysis requests.

• Recent graduate with a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Basic understanding of SQL and database concepts.
• Familiarity with at least one programming language (e.g., Python, R) is a plus.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team environment.
• Enthusiasm for data and a willingness to learn new technologies.
• Strong attention to detail and organisational skills.