51 Data Analysis jobs in Sheffield
Graduate Data Analyst - Business Intelligence
Posted today
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Key Responsibilities:
- Assist in the collection, cleaning, and processing of large datasets.
- Develop and maintain business intelligence dashboards and reports.
- Perform data analysis to identify trends, patterns, and anomalies.
- Support senior analysts in generating insights and recommendations.
- Conduct statistical analysis and contribute to data modeling efforts.
- Ensure data accuracy and integrity through rigorous testing and validation.
- Collaborate with various departments to understand their data needs.
- Present findings and insights to team members and stakeholders.
- Learn and apply new data analysis techniques and tools.
- Recent graduate with a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong analytical and problem-solving abilities.
- Proficiency in Microsoft Excel.
- Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and data accuracy.
- Good communication and presentation skills.
- Eagerness to learn and develop in a data-focused role.
- Ability to work collaboratively in a team environment.
Graduate Data Analyst - Business Intelligence
Posted 4 days ago
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Junior Data Analyst - Business Intelligence
Posted 6 days ago
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Job Description
Key responsibilities include:
- Assisting in the collection, cleaning, and validation of data from various sources.
- Performing data analysis to identify trends, patterns, and anomalies.
- Creating clear and concise data visualizations and reports using tools like Tableau, Power BI, or similar.
- Supporting senior analysts in developing dashboards and performance metrics.
- Contributing to the development and maintenance of data models and databases.
- Identifying opportunities for data quality improvements and process automation.
- Communicating findings and insights to non-technical stakeholders through presentations and reports.
- Learning and applying statistical methods and data mining techniques.
- Collaborating effectively with team members in a remote setting, participating in virtual meetings and discussions.
- Staying updated on emerging trends and technologies in data analytics and business intelligence.
- A recent Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational knowledge of data analysis techniques and statistical concepts.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, QlikView).
- Basic proficiency in SQL for data extraction and manipulation.
- Experience with programming languages like Python or R for data analysis is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, suitable for remote interaction.
- Ability to work independently, manage tasks, and meet deadlines in a remote work environment.
- A proactive attitude and a willingness to learn and grow.
Lead Data Scientist - Predictive Analytics
Posted today
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Senior Data Scientist - Accounting Analytics
Posted 6 days ago
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Responsibilities:
- Develop and implement advanced statistical and machine learning models for accounting data.
- Design and build data pipelines for extracting, transforming, and loading financial data.
- Perform complex data analysis, including anomaly detection, forecasting, and trend analysis in accounting operations.
- Create compelling data visualizations and dashboards to communicate insights to stakeholders.
- Collaborate with accounting teams to understand their needs and identify data-driven solutions.
- Ensure data quality, integrity, and compliance with financial regulations.
- Stay abreast of the latest advancements in data science, AI, and financial technologies.
- Mentor junior data scientists and contribute to the team's technical growth.
- Present findings and recommendations to senior management and cross-functional teams.
- Contribute to the development of new data products and analytical tools.
- Master's or PhD in Data Science, Statistics, Computer Science, Finance, or a related quantitative field.
- Minimum of 6 years of experience in data science, with a focus on financial or accounting analytics.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Solid understanding of accounting principles, financial reporting, and auditing processes.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work effectively independently and as part of a remote team.
- Familiarity with accounting software and ERP systems is a plus.
Data Analyst
Posted 24 days ago
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Work mode: Hybrid, 3 days a week in client premises in Sheffield
Contract duration: 12 months
Location: Sheffield
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JOB DETAILS
Role Title: Data Analyst
Must have skills:
-Power Query
-Power BI
-Excel
-SQL
-Jira
-Confluence
-SharePoint
-MS Office
Minimum number of relevant years of experience: 9+ years
Detailed Job Description:
-Experience: 5+ years of experience as strategic Data analyst in large scale digitization/migration programs
-Business Requirement- Requirement Gathering, Refinement, Development of User Stories, UAT Testing , and understanding of scrum ceremonies.
-Solution Design- Working with Solution Architects for High Leve/ low level l Solution Design, Mapping Business Requirement with solution design.
-Stakeholder Management- Demonstrated Experience in Coordinating with multiple stakeholders spread across multiple teams.
-Release Readiness/Management- Understanding & prior experience of enterprise wide Change Management process including documentation, presentation at various forums, approval
-Project Management- Understanding and experience in different delivery methodologies such as waterfall, agile, kanban
-Tools: Jira, Confluence, SharePoint, MS Office.
Apprentice Data Analyst
Posted today
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Job Description
Key responsibilities include assisting in the preparation of datasets for analysis, generating reports and dashboards using tools like Excel, SQL, and potentially BI software (e.g., Tableau, Power BI). You will work closely with senior analysts and business stakeholders to understand data requirements and deliver actionable information. The ideal candidate will have a strong aptitude for numbers, excellent attention to detail, and a passion for technology and data. While formal qualifications in data analysis are not strictly required, a good understanding of mathematics and basic computer literacy is essential. You must be a self-starter, capable of working independently in a remote setting, with strong communication skills to collaborate effectively with the team. This apprenticeship offers a structured learning path, leading to recognized qualifications and significant career development opportunities in the burgeoning field of data analytics. If you're motivated and keen to build a career in data, this is the role for you.
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Apprentice Data Analyst
Posted today
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Job Description
Key responsibilities include assisting with data extraction and transformation, performing data quality checks, and identifying trends and patterns within datasets. You will support the development of dashboards and reports using tools such as Excel, SQL, and BI platforms (e.g., Power BI, Tableau). The role involves collaborating with team members to understand data requirements and present findings in a clear and concise manner. This is a learning-focused role, designed to provide comprehensive training and mentorship in data analysis techniques and best practices.
We are looking for candidates who have a keen interest in data and technology, with a good level of numeracy and analytical thinking. A minimum of 5 GCSEs, including Maths, or equivalent qualifications, are required. Previous experience with computers and software applications, particularly Microsoft Excel, is beneficial. While prior experience in data analysis is not essential, a strong willingness to learn and develop new skills is crucial. Excellent communication skills, attention to detail, and the ability to work both independently and as part of a team are important attributes.
This role offers a pathway to gain practical experience and formal qualifications in data analytics. We are open to candidates who may not have prior industry experience but demonstrate a strong aptitude and passion for the field. The salary is competitive for an apprenticeship, and the working environment is supportive and conducive to learning. If you are a motivated individual looking for an entry-level opportunity to build a successful career in data analytics, we encourage you to apply. This is a great chance to learn and contribute to impactful business insights.
Graduate Data Analyst
Posted 3 days ago
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Graduate Data Analyst
Posted 3 days ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and organisation of data from various sources.
- Perform data analysis using statistical methods and tools to identify patterns, trends, and insights.
- Create reports and visualisations to communicate findings to stakeholders.
- Support the development and implementation of data models and algorithms.
- Collaborate with cross-functional teams to understand data requirements and provide analytical support.
- Contribute to the development of data quality standards and ensure data integrity.
- Learn and apply new data analysis techniques and technologies.
- Participate in team meetings and contribute to project planning and execution.
Qualifications:
- Recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Proficiency in data analysis tools such as Excel, SQL, and Python/R is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
- Enthusiasm for data and a desire to learn and grow in the field.
- Must be eligible to work remotely within the UK.
This internship is based in Sheffield, South Yorkshire, UK and offers a valuable learning experience. If you are a recent graduate eager to build a career in data analytics and thrive in a remote work environment, we encourage you to apply.