Graduate Data Analyst - Business Intelligence

S1 1AA Sheffield, Yorkshire and the Humber £25000 Annually WhatJobs

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intern
Our client, a rapidly expanding data analytics firm, has an exciting opportunity for a motivated and analytical Graduate Data Analyst to join their team in **Sheffield, South Yorkshire, UK**. This is a fantastic chance for a recent graduate to gain hands-on experience in a dynamic and data-driven environment. You will work closely with senior analysts and business stakeholders to extract, transform, and analyse complex datasets, generating actionable insights to support strategic decision-making. Your responsibilities will include developing and maintaining data dashboards and reports, identifying trends and patterns in data, performing statistical analysis, and assisting in the validation and quality assurance of data. You will be involved in projects across various business functions, helping to identify areas for improvement and innovation through data. The ideal candidate will possess a strong academic background, with a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline. You should demonstrate excellent analytical and problem-solving skills, a keen eye for detail, and a strong understanding of data analysis principles. Familiarity with data visualization tools (e.g., Tableau, Power BI) and SQL is highly advantageous. Proficiency in Microsoft Excel is essential. You will be a quick learner, eager to develop your skills in data manipulation and interpretation, and possess excellent communication skills to present findings clearly and concisely. Our client offers a supportive learning environment, mentorship from experienced professionals, and opportunities for career advancement within the company. This role is perfect for someone looking to kick-start their career in data analytics and make a tangible impact.

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.
Qualifications:
  • 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.
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Graduate Data Analyst - Business Intelligence

S1 1AA Sheffield, Yorkshire and the Humber £28000 Annually WhatJobs

Posted 4 days ago

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graduate
Our client is seeking bright and ambitious graduates to join their team as Data Analysts. This exciting entry-level position is based in Sheffield, South Yorkshire, UK , and offers a fantastic opportunity to launch a career in data analytics and business intelligence. You will be responsible for collecting, cleaning, and analyzing large datasets to identify trends, generate insights, and support data-driven decision-making across various departments. Your key duties will include developing reports and dashboards, performing statistical analysis, and collaborating with stakeholders to understand their data requirements. The ideal candidate will have a recent degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Strong analytical and problem-solving skills are essential, along with proficiency in spreadsheet software (e.g., Excel) and a foundational understanding of SQL. Experience with data visualization tools (e.g., Tableau, Power BI) or programming languages (e.g., Python, R) would be a significant advantage. Excellent communication skills, both written and verbal, are required to present findings clearly and concisely. You should be a motivated self-starter, eager to learn, and capable of working both independently and as part of a team. A keen interest in data and its application in business is paramount. This role provides excellent training and development opportunities, with a clear career progression path. This is an exceptional chance for graduates to gain valuable experience and make a real impact in a dynamic business environment.
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Junior Data Analyst - Business Intelligence

S1 1AA Sheffield, Yorkshire and the Humber £25000 Annually WhatJobs

Posted 6 days ago

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intern
Are you a recent graduate with a passion for data and a knack for uncovering insights? Our client, a forward-thinking technology firm, is looking for a motivated Junior Data Analyst to join their remote Business Intelligence team. This is an excellent entry-level opportunity to develop your skills in data analysis, visualization, and reporting within a supportive, fully remote environment. You'll be instrumental in transforming raw data into actionable business intelligence that drives strategic decision-making across the organization.

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.
The ideal candidate will possess:
  • 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.
This internship offers a fantastic launchpad for a career in data analytics, providing hands-on experience and mentorship. If you're eager to make an impact and thrive in a remote, collaborative setting, we encourage you to apply!
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Lead Data Scientist - Predictive Analytics

S1 2BG Sheffield, Yorkshire and the Humber £75000 Annually WhatJobs

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full-time
Our client, a dynamic research and development organization, is looking for an accomplished Lead Data Scientist to spearhead their predictive analytics initiatives. This position is based at our client's advanced research facility in Sheffield . You will be responsible for developing and implementing sophisticated machine learning models and algorithms to extract valuable insights from complex datasets, enabling data-driven decision-making across the organization. Your role will involve leading a team of data scientists, mentoring junior members, and collaborating closely with stakeholders to define analytical requirements and translate business needs into data science solutions. Key responsibilities include data exploration and preprocessing, feature engineering, model selection and training, validation, and deployment. You will leverage a variety of statistical techniques and machine learning methods, including regression, classification, clustering, and deep learning. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics, with a strong track record of applying data science techniques to solve real-world problems. Proven experience in programming languages like Python or R, and proficiency with data science libraries and tools (e.g., scikit-learn, TensorFlow, PyTorch, SQL, Spark) are essential. Strong communication, presentation, and leadership skills are required to effectively communicate complex findings to both technical and non-technical audiences and to guide team efforts. If you are a strategic thinker with a passion for uncovering patterns and driving innovation through data, we invite you to apply for this challenging and impactful role.
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Senior Data Scientist - Accounting Analytics

S1 2DA Sheffield, Yorkshire and the Humber £65000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client, a leader in financial technology, is seeking a highly experienced Senior Data Scientist to spearhead their advanced accounting analytics initiatives. This fully remote role offers a unique opportunity to leverage cutting-edge data science techniques to transform financial reporting and auditing processes. You will be responsible for developing and implementing predictive models, machine learning algorithms, and data visualization tools to extract actionable insights from vast accounting datasets. Your work will involve collaborating closely with accounting professionals, data engineers, and product managers to identify key business challenges and opportunities, design data-driven solutions, and ensure the integrity and accuracy of financial data analysis. We are looking for an individual with a strong foundation in statistical modeling, machine learning, and data manipulation, coupled with a solid understanding of accounting principles and financial reporting. The ideal candidate will possess a Master's or PhD in Data Science, Statistics, Computer Science, Finance, or a related quantitative field, with at least 6 years of relevant experience. Proficiency in programming languages such as Python or R, experience with SQL and big data technologies (e.g., Spark, Hadoop), and familiarity with accounting software and ERP systems are essential. Exceptional analytical, problem-solving, and communication skills are critical for success in this remote-first role, enabling effective collaboration across a distributed team and clear communication of complex findings to stakeholders. If you are passionate about applying data science to the world of finance and accounting and eager to drive innovation remotely, we encourage you to apply.

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.
Qualifications:
  • 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.
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Data Analyst

Sheffield, Yorkshire and the Humber £280 - £300 day N Consulting Ltd

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
---
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.

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Apprentice Data Analyst

S1 4QX Sheffield, Yorkshire and the Humber £18000 annum (appr WhatJobs

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apprenticeship
Embark on an exciting career journey with our client as an Apprentice Data Analyst. This fully remote, entry-level position is perfect for individuals eager to learn and grow within the tech industry. You will receive comprehensive training and mentorship while contributing to real-world data projects. Your role will involve supporting the data team by collecting, cleaning, and analyzing data to identify trends and insights. This is a fantastic opportunity to gain practical experience in data manipulation, visualization, and reporting.

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

S1 4PT Sheffield, Yorkshire and the Humber £18000 Annually WhatJobs

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intern
Our client is seeking an enthusiastic and motivated Apprentice Data Analyst to join their growing team in Sheffield, South Yorkshire, UK . This apprenticeship offers a fantastic opportunity for individuals eager to develop a career in data analytics, gaining hands-on experience and working towards industry-recognised qualifications. You will be responsible for supporting the data team in collecting, cleaning, and analysing data to provide valuable insights that drive business decisions. This role involves working with various datasets, utilising analytical tools, and assisting in the creation of reports and visualisations.

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.
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Graduate Data Analyst

S1 2GY Sheffield, Yorkshire and the Humber £25000 Annually WhatJobs

Posted 3 days ago

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intern
Our client is excited to offer an exceptional opportunity for a motivated Graduate Data Analyst to join their innovative team in **Sheffield, South Yorkshire, UK**. This role is designed for ambitious individuals eager to launch their career in data analytics within a supportive and dynamic environment. As a Graduate Data Analyst, you will work closely with senior analysts and business stakeholders to gather, clean, analyze, and interpret complex datasets. Your primary focus will be on identifying trends, generating insights, and contributing to data-driven decision-making across various departments. Responsibilities include developing reports and visualizations, performing statistical analysis, and ensuring data accuracy and integrity. You will gain hands-on experience with data analysis tools and methodologies, including SQL, Python or R, and BI platforms. The ideal candidate will possess a strong analytical mindset, excellent problem-solving abilities, and a keen attention to detail. A recent Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. Previous internship experience in data analysis or a related field is a plus. You should demonstrate a passion for data, a willingness to learn, and strong communication skills to present findings clearly. This is an excellent opportunity to develop your skills and build a successful career in a company that values growth and innovation.
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Graduate Data Analyst

S1 4HG Sheffield, Yorkshire and the Humber £25000 Annually WhatJobs

Posted 3 days ago

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intern
Our client is looking for an ambitious and bright Graduate Data Analyst to join their innovative team. This is a fully remote, internship position designed to provide a foundational understanding of data analysis within a business context. You will gain hands-on experience working with large datasets, identifying trends, and contributing to data-driven decision-making processes. This role offers an excellent opportunity for recent graduates to launch their careers in a supportive and challenging environment.

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.
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