Data Analyst
Join RC IT Services as a Data Analyst supporting business reporting, data quality and analytical requirements. You will work with structured datasets, SQL, data pipelines, database schemas and visualisation tools to produce accurate and useful information for business and client requirements.
RC-DATA-26-LDN-A8332BRequired skills
- SQL
- Data Analysis
- Data Validation
- Data Pipelines
- Database Schemas
- Relational Databases
- Data Visualisation
- Reporting
- Data Quality Analysis
- Analytical Problem Solving
Preferred skills
- Data Quality Management
- Data Validation
- Business Reporting
- Dashboard Development
- Data Pipeline Monitoring
- Requirements Analysis
- Problem Solving
- Stakeholder Communication
- Technical Documentation
Job description
RC IT Services is looking for an experienced Data Analyst to support the collection, organisation, analysis and reporting of business data.
The role will focus on working with structured datasets, SQL queries, data pipelines, database schemas and data visualisation or reporting tools. The successful candidate will work with business and technical teams to ensure that data is accurate, consistent and available for reporting and informed business decision-making.
Key responsibilities
Collect, organise and analyse data from different business sources.
Write and maintain SQL queries to retrieve, validate and analyse data.
Review datasets for accuracy, completeness and consistency.
Support existing data pipelines and investigate data-processing issues.
Work with relational database tables, relationships and data schemas.
Prepare datasets for reporting, analysis and business requirements.
Create and maintain reports, dashboards and data visualisations.
Identify trends, inconsistencies and relevant information within business data.
Investigate data-quality issues and work with relevant teams to resolve them.
Translate business reporting requirements into clear analytical outputs.
Maintain documentation for datasets, queries, reports and data processes.
Communicate analytical findings clearly to technical and non-technical stakeholders.
Raise data issues, blockers and dependencies where they may affect reporting or delivery.
Candidate requirements
Candidates should have approximately 3–8 years of relevant professional experience in data analysis, reporting, business intelligence or a closely related field.
The successful candidate should be able to demonstrate:
Strong practical SQL skills.
Experience analysing structured business data.
Understanding of relational databases and data schemas.
Experience working with data pipelines and data-processing workflows.
Experience producing reports, dashboards or data visualisations.
Ability to identify and investigate data-quality issues.
Strong analytical and problem-solving skills.
Good attention to detail and data accuracy.
Ability to communicate analytical findings clearly.
Ability to work independently while collaborating effectively with other teams.
A degree or equivalent professional experience in data analytics, information systems, computer science, business analytics or a related discipline would be beneficial.
Working arrangement
The role is based in London and is intended to be office-based initially.
After the initial employment period, and subject to business requirements, performance and management approval, the role may move to a hybrid working arrangement.
Under the anticipated hybrid arrangement, the employee would normally be expected to work on-site in London at least 3 days per week.
Working hours
37–40 hours per week.
Salary
£38,500–£55,500 per annum.
The final salary will depend on the successful candidate's relevant experience, skills and responsibilities.
Where Skilled Worker sponsorship is applicable, the salary offered will also need to satisfy the Home Office requirements applicable to the individual and occupation at the time sponsorship is considered.
Skilled Worker classification
The position is intended to correspond to:
SOC 2020 occupation code: 3544 Occupation: Data Analysts Skill classification: Medium Skilled
SOC 3544 Data Analysts is currently included on the Temporary Shortage List, subject to the applicable Skilled Worker Immigration Rules at the time of sponsorship.
Equal opportunities
RC IT Services is an equal opportunities employer. Applications will be considered based on the skills, experience and qualifications relevant to the position.
Key responsibilities
- Collect, organise and analyse structured business data.
- Write and maintain SQL queries for data retrieval, validation and analysis.
- Review datasets for accuracy, completeness and consistency.
- Support existing data pipelines and investigate data-processing issues.
- Work with relational database tables, relationships and data schemas.
- Prepare datasets for business analysis and reporting.
- Create and maintain dashboards, reports and data visualisations.
- Identify trends, inconsistencies and relevant information within datasets.
- Investigate data-quality issues and work with relevant teams to resolve them.
- Translate business reporting requirements into clear analytical outputs.
- Maintain documentation for datasets, queries, reports and data processes.
- Communicate analytical findings clearly to technical and non-technical stakeholders.
- Raise data issues, blockers and dependencies where they may affect reporting or delivery.
- Work collaboratively with business and technical teams while taking ownership of assigned analytical tasks.
Qualifications
- Collect, organise and analyse structured business data.
- Write and maintain SQL queries for data retrieval, validation and analysis.
- Review datasets for accuracy, completeness and consistency.
- Support existing data pipelines and investigate data-processing issues.
- Work with relational database tables, relationships and data schemas.
- Prepare datasets for business analysis and reporting.
- Create and maintain dashboards, reports and data visualisations.
- Identify trends, inconsistencies and relevant information within datasets.
- Investigate data-quality issues and work with relevant teams to resolve them.
- Translate business reporting requirements into clear analytical outputs.
- Maintain documentation for datasets, queries, reports and data processes.
- Communicate analytical findings clearly to technical and non-technical stakeholders.
- Raise data issues, blockers and dependencies where they may affect reporting or delivery.
- Work collaboratively with business and technical teams while taking ownership of assigned analytical tasks.
- Qualifications
- 3–8 years of relevant professional experience in data analysis, reporting, business intelligence or a closely related area.
- Strong practical experience with SQL and relational databases.
- Experience working with structured datasets and database schemas.
- Experience analysing, validating and interpreting business data.
- Experience producing reports, dashboards or data visualisations.
- Understanding of data pipelines and data-processing workflows.
- Strong analytical and problem-solving capability.
- Good attention to detail and data accuracy.
- Ability to communicate analytical findings clearly.
- Ability to work independently and collaboratively within a team.
Preferred qualifications
- Degree or equivalent professional experience in Data Analytics, Business Analytics, Information Systems, Computer Science or a related discipline.
- Experience working with business intelligence or data visualisation tools.
- Experience supporting reporting requirements within a business or client environment.
- Experience working with cross-functional business and technical teams.
Nature of working style
- Collaborative working with business and technical teams.
- Independent ownership of assigned analysis and reporting activities.
- Strong focus on data accuracy and quality.
- Structured and detail-oriented approach to analytical work.
- Clear communication of findings, issues, blockers and dependencies.
- Regular documentation of analysis, queries and reporting processes.
- Office-based working initially.
- Potential hybrid working arrangement following the initial employment period.
- Expected on-site attendance of at least 3 days per week if the role moves to hybrid working.
Location
London, United Kingdom. The position is intended to be office-based in London initially. The final workplace address will be confirmed before commencement of employment. Following the initial employment period, and subject to business requirements, performance and management approval, the position may move to a hybrid arrangement with normally at least 3 days per week on-site.