28 Data Analyst jobs in Cambridgeshire
Data Analyst
Posted 19 days ago
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Job Description
The ideal candidate will have a keen eye for detail, a passion for uncovering trends, and the ability to translate complex data into clear, understandable reports and visualizations. You will work with various departments to understand their data needs, design analytical approaches, and deliver impactful results. This role is crucial in helping our client leverage data to enhance their products, services, and strategic initiatives.
Key Responsibilities:
- Collect, clean, and prepare data from various sources for analysis.
- Perform statistical analysis to identify trends, patterns, and correlations in data.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs).
- Utilize data visualization tools (e.g., Tableau, Power BI) to create compelling visual representations of data.
- Interpret data findings and provide actionable recommendations to business stakeholders.
- Collaborate with different teams to understand their data requirements and analytical needs.
- Identify opportunities for data process improvements and efficiency gains.
- Ensure data accuracy, integrity, and security.
- Stay up-to-date with the latest data analysis techniques and tools.
- Assist in the development of data models and data mining strategies.
Qualifications:
- A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Minimum of 2-4 years of experience as a Data Analyst or in a similar analytical role.
- Proficiency in SQL for data extraction and manipulation.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong understanding of statistical concepts and methods.
- Proficiency in a programming language like Python or R for data analysis is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work effectively in a hybrid environment, managing time and priorities independently.
Data Analyst
Posted 22 days ago
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Job Description
Key Responsibilities:
- Collect and process data from various sources, ensuring data integrity and accuracy.
- Clean and transform raw data into usable formats for analysis.
- Perform statistical analysis to identify trends, patterns, and correlations in data.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimise statistical efficiency and quality.
- Create compelling data visualisations and dashboards to communicate findings to stakeholders.
- Prepare regular reports and presentations summarising key insights and recommendations.
- Collaborate with cross-functional teams to define data requirements and metrics.
- Identify opportunities for process improvements and new analytical approaches.
- Stay up-to-date with the latest data analysis techniques and tools.
- Ensure compliance with data privacy regulations and best practices.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Proficiency in SQL for data extraction and manipulation.
- Experience with statistical software packages (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Familiarity with data visualisation tools such as Tableau, Power BI, or similar.
- Strong understanding of statistical modelling and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex findings clearly and concisely to both technical and non-technical audiences.
- Attention to detail and a commitment to accuracy.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Graduate Data Analyst
Posted 4 days ago
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Job Description
Graduate Data Analyst
Posted 5 days ago
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Job Description
Responsibilities:
- Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement data models and algorithms to support business objectives.
- Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders.
- Assist in the design and execution of A/B tests and other analytical experiments.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Contribute to the development of data strategies and best practices within the organization.
- Stay up-to-date with the latest trends and technologies in data analytics and data science.
- Ensure data integrity and adherence to data governance policies.
- Support the maintenance and improvement of data infrastructure.
Qualifications:
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in data manipulation and analysis using tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong attention to detail and a commitment to data accuracy.
- Good communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work effectively both independently and as part of a team.
- A genuine passion for data and a proactive approach to learning new skills.
- Previous internship or project experience in data analysis is advantageous.
This is an excellent career starting point for ambitious graduates in Cambridge , offering significant learning opportunities and the chance to make a real impact through data.
Apprentice Data Analyst
Posted 6 days ago
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Job Description
Key Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and maintenance of databases and data systems.
- Create clear and concise reports and visualizations to communicate findings.
- Learn and apply statistical methods and data modeling techniques.
- Collaborate with senior analysts and data scientists on ongoing projects.
- Assist in testing and validating data models and algorithms.
- Help identify data quality issues and recommend solutions.
- Document data processes, methodologies, and findings.
- Participate in team meetings and contribute to discussions on data strategy.
- Develop proficiency in data analysis tools and programming languages (e.g., SQL, Python/R).
- Must be eligible for a Level 4 Data Analyst Apprenticeship.
- Strong academic background, particularly in Mathematics or a quantitative field.
- Excellent analytical and problem-solving abilities.
- A keen interest in data, statistics, and technology.
- Good understanding of basic statistical concepts.
- Proficiency with Microsoft Excel or Google Sheets.
- Strong written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Eagerness to learn and adapt to new tools and techniques.
- Basic knowledge of programming concepts is a plus.
- A proactive and detail-oriented approach to tasks.
Apprentice Data Analyst
Posted 8 days ago
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Job Description
Key Responsibilities:
- Assist in data collection from various sources.
- Perform data cleaning and validation to ensure accuracy and integrity.
- Support the generation of regular reports and dashboards.
- Help to identify trends, patterns, and insights within datasets.
- Learn and apply data analysis techniques and tools under supervision.
- Assist in creating data visualizations for presentations.
- Contribute to maintaining data documentation.
- Collaborate with team members on data-related tasks.
- Minimum of 5 GCSEs or equivalent, including Maths and English (or equivalent in-progress).
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Good understanding of basic mathematical and statistical concepts.
- Proficiency in Microsoft Excel is desirable.
- Eagerness to learn new technologies and methodologies.
- Good communication and teamwork skills.
- A genuine interest in data analysis and a desire to build a career in this field.
Graduate Data Analyst
Posted 12 days ago
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Job Description
Key responsibilities will involve:
- Gathering and interpreting data from various sources, identifying patterns and trends.
- Developing and maintaining data models and reporting dashboards.
- Collaborating with cross-functional teams to identify opportunities for process improvements.
- Ensuring data accuracy and integrity through rigorous validation processes.
- Preparing detailed reports and presentations on findings for stakeholders.
- Assisting in the design and execution of A/B tests and other experiments.
- Contributing to the development of predictive models and machine learning algorithms under supervision.
- Staying abreast of the latest advancements in data analytics tools and techniques.
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Graduate Data Analyst
Posted 14 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets.
- Perform data analysis using statistical methods and analytical tools.
- Identify trends, patterns, and insights within the data.
- Create reports, dashboards, and visualizations to communicate findings.
- Support senior analysts and data scientists in their projects.
- Learn and apply various data analysis techniques and software.
- Contribute to the documentation of data processes and findings.
- Collaborate with team members in a remote setting.
- Undertake specific data-related tasks as assigned.
- Help maintain data integrity and accuracy.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis concepts and tools (e.g., Excel, SQL).
- Basic understanding of statistical principles.
- Eagerness to learn and develop new skills.
- Good communication and interpersonal skills.
- Ability to work independently and as part of a remote team.
- Attention to detail and a commitment to accuracy.
- Experience with Python or R for data analysis is a plus.
Graduate Data Analyst
Posted 15 days ago
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Job Description
Key Responsibilities:
- Assist in the collection and consolidation of data from various sources.
- Perform data cleaning and preprocessing to ensure accuracy and consistency.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Assist in the development of reports and dashboards to visualize data insights.
- Support senior analysts in interpreting findings and communicating them to stakeholders.
- Learn and apply statistical methods and data analysis techniques.
- Contribute to the development and maintenance of data models.
- Collaborate with team members on data-related projects.
- Ensure data integrity and adherence to data governance policies.
- Actively participate in remote team meetings and contribute to a positive virtual work culture.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Familiarity with data analysis tools and concepts (e.g., Excel, SQL).
- Basic understanding of statistical principles.
- Excellent written and verbal communication skills.
- Ability to learn new tools and technologies quickly.
- Self-motivated and able to work independently in a remote setting.
- Team-oriented with the ability to collaborate effectively in a virtual environment.
- Previous internship or project experience in data analysis is a plus.
- Located in or willing to relocate near **Cambridge, Cambridgeshire, UK**, to participate in occasional team events, while working remotely.
Apprentice Data Analyst
Posted 21 days ago
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Job Description
As an apprentice, you will assist in developing and implementing data collection systems and strategies that optimize data quality and efficiency. You will learn to perform data analysis, identify trends and patterns, and create reports and visualizations to communicate findings to various stakeholders. This role involves working with databases, spreadsheets, and potentially data visualization tools. You will receive comprehensive training and mentorship throughout your apprenticeship, covering essential data analysis techniques, software proficiency, and industry best practices.
The ideal candidate is eager to learn, possesses strong analytical and problem-solving skills, and has a keen eye for detail. While formal data analysis experience is not required, a genuine interest in working with data and a commitment to continuous learning are essential. You should be comfortable with numbers and possess good communication skills, both written and verbal. A basic understanding of mathematics and statistics would be advantageous.
Requirements:
- Minimum of 5 GCSEs (or equivalent), including Maths and English.
- A passion for data analysis and a strong desire to learn.
- Good analytical and problem-solving skills.
- Attention to detail and accuracy.
- Basic IT literacy, including proficiency in Microsoft Office Suite (Word, Excel).
- Good communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Willingness to undertake a Level 3 or Level 4 Data Analyst Apprenticeship qualification.
- Residency and eligibility to work in the UK.
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