Data specialist,
a career in demand

Duties

Including but not limited to:

•A Data Analyst may gather data from various sources such as databases, APIs, or spreadsheets. They may also clean and transform data to prepare it for analysis.

•May use statistical software such as R or Python to perform data analysis, and may use tools such as SQL to manipulate data in databases.

•Build models to help identify patterns, trends, and relationships in data, and may create visualisations to present findings in a clear and concise manner.

•Based on their analysis, a Data Analyst may provide insights and recommendations to stakeholders in the organisation, such as managers, executives, or other decision-makers.

•Ensure that data is accurate, consistent, and up-to-date, and may implement processes to ensure data quality over time.

•Work closely with other teams such as IT, marketing, or finance, to gather data and to ensure that analysis is aligned with business needs.

Prerequisite Skills

A strong understanding of data analytics tools and techniques is essential for a Data Analyst. They should be proficient in using software such as SQL, R, Python, and Excel, and should be able to manipulate and analyse data sets of varying sizes.

A Data Analyst should have strong analytical skills, including the ability to identify patterns, trends, and relationships in data, and to draw meaningful insights and recommendations from their analysis.

Have strong written and verbal communication skills, as they may need to present their findings to stakeholders in the organisation who may not have a technical background.

A strong understanding of the business context in which their analysis is being conducted, and should be able to align their analysis with business needs and objectives.

A degree in a relevant field such as mathematics, statistics, economics, or computer science can be beneficial for a Data Analyst role. In addition, professional certifications such as the Certified Analytics Professional (CAP) or the Microsoft Certified: Azure Data Scientist Associate can demonstrate expertise and competence in data analytics.

The field of data analytics is constantly evolving, so a Data Analyst should have a willingness to continuously learn and develop their skills and knowledge.

Duties

Including but not limited to:

•Gathering data from various sources such as databases, spreadsheets, or APIs. They may also clean and transform data to prepare it for analysis.

•Using statistical software such as R or Python to perform data analysis, and may use tools such as SQL to manipulate data in databases.

•Building models to help identify patterns, trends, and relationships in data, and may create visualisations to present findings in a clear and concise manner.

•Based on their analysis, a Business Data Analyst may provide insights and recommendations to stakeholders in the organisation, such as managers, executives, or other decision-makers.

•Tracking and reporting on key performance indicators (KPIs) to help the business monitor its performance over time.

•Working closely with other teams such as marketing, finance, or operations, to gather data and to ensure that analysis is aligned with business needs.

•The field of business data analysis is constantly evolving, so a Business Data Analyst needs to stay up-to-date with the latest industry developments and emerging trends to ensure their analysis is effective.

Prerequisite Skills

A Business Data Analyst should have strong technical skills, including proficiency in data analysis tools and techniques such as SQL, Excel, R, Python, and data visualization software such as Tableau or Power BI.

Strong analytical skills, including the ability to collect, process, and analyse large sets of data to draw insights and make recommendations.

Have a strong understanding of business operations, strategy, and objectives, as well as the ability to align their analysis with business goals and objectives.

Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

A degree in a relevant field such as mathematics, statistics, economics, or computer science can be beneficial for a Business Data Analyst role. In addition, certifications such as the Microsoft Certified: Azure Data Analyst Associate or the Tableau Desktop Specialist can demonstrate expertise and competence in data analysis.

Problem-solving skills, including the ability to identify and troubleshoot issues with data sets and analytical models.

A Business Data Analyst should have strong attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Duties

Including but not limited to:

•A Reporting Analyst may gather data from various sources, such as databases or spreadsheets, and analyse it to identify trends, patterns, and relationships.

•Developing reports using reporting tools such as Excel, SQL, or Tableau. They may also create dashboards and scorecards to provide a visual representation of the data.

•Being responsible for maintaining and updating existing reports to ensure that they remain accurate and relevant.

•Work closely with stakeholders such as managers, executives, or other decision-makers to understand their reporting needs and to ensure that reports are aligned with business goals and objectives.

•Based on their analysis, a Reporting Analyst may provide insights and recommendations to stakeholders in the organisation to help them make data-driven decisions.

•Troubleshoot issues with reports, data sets, or reporting tools, and may develop solutions to resolve problems.

•The field of reporting is constantly evolving, so a Reporting Analyst needs to stay up-to-date with the latest reporting tools and techniques to ensure that their reports are effective.

Prerequisite Skills

A Reporting Analyst should have strong technical skills, including proficiency in reporting tools such as SQL, Excel, Tableau, Power BI, or other relevant reporting software.

Have strong analytical skills, including the ability to collect, process, and analyse large sets of data to draw insights and make recommendations.

Written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Should have a strong understanding of business operations, strategy, and objectives, as well as the ability to align their analysis with business goals and objectives.

A degree in a relevant field such as mathematics, statistics, economics, or computer science can be beneficial for a Reporting Analyst role. In addition, certifications such as the Microsoft Certified: Data Analyst Associate or the Tableau Desktop Specialist can demonstrate expertise and competence in reporting and data analysis.

A Reporting Analyst should have strong problem-solving skills, including the ability to identify and troubleshoot issues with data sets and reporting tools.

Duties

Including but not limited to:

•A BI Analyst collects and analyses data from various sources such as databases, spreadsheets, and other systems.

•Uses BI tools such as Tableau, Power BI, or QlikView to design and develop reports and dashboards that provide a visual representation of the data and insights.

•Analyses data to identify trends, patterns, and correlations in the data.

•Based on their analysis, a BI Analyst provides insights and recommendations to stakeholders in the organisation to help them make data-driven decisions.

•Works closely with stakeholders such as managers, executives, or other decision-makers to understand their reporting needs and to ensure that reports are aligned with business goals and objectives.

•Ensures that data is accurate and of high quality, by identifying and resolving data quality issues.

•The field of BI is constantly evolving, so a BI Analyst needs to stay up-to-date with the latest BI tools and techniques to ensure that their analysis is effective.

Prerequisite Skills

A BI Analyst should have strong technical skills, including proficiency in SQL, Excel, BI tools such as Tableau, Power BI, or QlikView, and other relevant reporting software.

You should have strong analytical skills, including the ability to collect, process, and analyse large sets of data to draw insights and make recommendations.

Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Have a strong understanding of business operations, strategy, and objectives, as well as the ability to align their analysis with business goals and objectives.

A degree in a relevant field such as mathematics, statistics, economics, or computer science can be beneficial for a BI Analyst role. In addition, certifications such as the Microsoft Certified: Data Analyst Associate or the Tableau Desktop Specialist can demonstrate expertise and competence in reporting and data analysis.

A BI Analyst should have strong problem-solving skills, including the ability to identify and troubleshoot issues with data sets and reporting tools.

Duties

Including but not limited to:

•Collecting, analysing and interpreting data from various sources to provide insights and recommendations to the business.

•Identifying areas for improvement in processes and systems and working with stakeholders to implement changes that increase efficiency and reduce costs.

•Developing and maintaining key performance indicators (KPIs) to monitor the performance of the business and identify areas for improvement.

•Conducting risk assessments and developing risk mitigation strategies to minimize potential losses to the business.

•Generating regular reports to communicate key business metrics to stakeholders across the organisation.

•Supporting the delivery of projects and initiatives, including creating project plans, tracking progress and providing regular updates to stakeholders.

•Building and maintaining positive relationships with internal stakeholders such as managers, operations teams, and external stakeholders such as suppliers and customers.

•Identifying opportunities for process improvements and making recommendations for changes that can improve business performance.

Prerequisite Skills

A degree in a relevant field such as business, economics, mathematics, or computer science can be beneficial for an Operations Analyst role.

An Operations Analyst should have strong analytical skills, including the ability to collect, process, and analyse data to identify trends, patterns, and insights.

Should have strong problem-solving skills and the ability to identify areas for improvement in processes and systems.

Have strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Technical skills, including proficiency in Excel, data visualisation tools, and other relevant software.

Familiarity with the specific industry and sector in which the Operations Analyst will be working can be beneficial, as well as an understanding of relevant regulations and compliance requirements.

An Operations Analyst should have strong project management skills, including the ability to manage timelines, budgets, and stakeholders.

Duties

Including but not limited to:

•Collecting, analysing, and interpreting clinical data from various sources to provide insights and recommendations to healthcare providers.

•Identifying areas for improvement in clinical processes and systems, and working with healthcare providers to implement changes that increase efficiency, reduce costs, and improve patient outcomes.

•Monitoring and evaluating the quality of healthcare services provided by healthcare providers, and making recommendations for improvement.

•Generating regular reports to communicate key clinical metrics to healthcare providers and management teams.

•Designing and implementing clinical information systems that capture, store, and analyse clinical data.

•Developing and implementing clinical decision support tools and systems that assist healthcare providers in making informed clinical decisions.

•Providing training and support to healthcare providers on the use of clinical information systems and tools.

•Ensuring that clinical information systems and processes comply with relevant regulatory requirements, such as the Data Protection Act and the General Data Protection Regulation (GDPR).

Prerequisite Skills

A degree in a relevant field such as healthcare informatics, healthcare management, healthcare administration, nursing, or a related field can be beneficial.

Experience working in a clinical setting, such as a hospital or healthcare provider, can be valuable in understanding the needs of healthcare providers and patients.

Strong analytical skills, including the ability to collect, process, and analyse complex clinical data.

Proficiency in clinical information systems and software, as well as knowledge of data management and analysis tools such as SQL, Python, and Excel.

Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Strong attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Familiarity with clinical processes, workflows, and terminology can be beneficial.

Knowledge of relevant healthcare regulations and compliance requirements, such as the Data Protection Act and the General Data Protection Regulation (GDPR).

Duties

Including but not limited to:

•Designing and implementing data pipelines that extract, transform, and load data from various sources into a data warehouse or other data storage system.

•Designing, building and maintaining the infrastructure required for data storage, processing and retrieval, such as databases, data warehouses, and data lakes.

•Data Engineers are responsible for ensuring the accuracy, completeness, and consistency of data, as well as implementing measures to identify and correct data quality issues.

•Tuning and optimising data processing systems to ensure fast and efficient data processing.

•Collaborate with data analysts and scientists to understand their requirements for data and to design and develop systems to support their work.

•Implementing security measures to ensure that sensitive data is protected and that the data processing systems comply with relevant regulations, such as GDPR.

•Data Engineers often automate data processes to reduce manual effort and improve efficiency.

Prerequisite Skills

A degree in Computer Science, Data Science, Information Technology, or a related field is typically required. A postgraduate degree or relevant industry certifications can also be beneficial.

Proficiency in programming languages such as Python, Java, or Scala, as well as knowledge of data management and analysis tools such as Hadoop, Spark, SQL, and NoSQL databases.

Familiarity with cloud technologies such as AWS, Azure, or Google Cloud Platform, and experience with cloud-based data storage and processing technologies like S3, Redshift, BigQuery, and Dataflow.

Knowledge of database design, data modelling, and ETL (Extract, Transform, Load) processes.

Strong analytical skills, including the ability to collect, process, and analyse complex data.

Strong attention to detail, including the ability to spot patterns and trends in data that may be missed by others.

Written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Familiarity with Agile methodologies and experience working in Agile development environments.

Knowledge of data privacy and security regulations, such as GDPR, and experience implementing security measures to protect sensitive data.