DATA ANALYST
SOC 2020 Occupation Code: 3544 – Data Analysts
Salary: £42,000 per annum
Hours: 37.5 hours per week
Employment: Full-time, permanent
Reporting to: Director
Location: 20-22 Wenlock road, London – N1 7GU [Hybrid Working Arrangement]
1. Role Purpose
The Data Analyst will collect, organise, cleanse, validate and analyse the data AltHub works with and provide accurate and actionable information to support further AI/ML modelling by the data science team.
The role will focus particularly on data quality, data integrity, reconciliation, exploratory analysis, reporting and the investigation of data-related issues. The Data Analyst will work with data science team and technical stakeholders to identify trends, patterns, anomalies and data-quality issues and translate analytical findings into practical recommendations.
The role will also support the analysis and quality evaluation of datasets used in AI/ML analysis where required.
2. Key ResponsibilitiesData Collection, Preparation and Quality
· Gather and organise data from client applications, operational systems and other relevant data sources.
· Clean, prepare and standardise datasets for analysis.
· Identify and resolve, or escalate, duplicate, incomplete, inconsistent or inaccurate records.
· Perform data-quality checks to assess completeness, consistency, accuracy and validity.
· Reconcile data between source systems, reports and datasets and investigate discrepancies.
· Develop and maintain documented data-quality procedures, validation rules and processes.
· Investigate the root causes of recurring data-quality and data-integrity problems.
Data Analysis
· Conduct exploratory analysis of datasets.
· Apply descriptive statistical techniques to understand data characteristics and identify significant trends and patterns.
· Support forecasting, classification and other analytical activities where appropriate.
· Interpret analytical results in the context of modelling requirements.
Reporting and Presentation
· Produce regular and ad-hoc analytical reports for data science team and other technical stakeholders.
· Create clear tables, charts and other visual representations of data to communicate findings.
· Translate analytical findings into clear conclusions and practical recommendations.
· Maintain appropriate documentation and audit trails supporting analytical outputs.
Data Investigation and Business Support
· Investigate data-related incidents and reported discrepancies.
· Work with clients to reproduce issues, identify root causes and define corrective actions.
· Validate proposed data corrections before modelling phase.
· Support the assessment and validation of changes to business systems, reports and data processes.
· Monitor recurring data issues and identify opportunities for process or system improvements.
AI / Machine Learning Data Quality
· Support the preparation, validation and quality assessment of datasets used by data science team in AI and machine-learning modelling.
· Review and evaluate data and model outputs against defined quality criteria.
· Identify inconsistent, ambiguous or anomalous data and document findings.
· Apply agreed evaluation criteria consistently and escalate complex or ambiguous cases.
· Contribute to improvements in data-quality guidelines and processes based on recurring findings.
3. Stakeholder Responsibilities
The Data Analyst will work with:
· Data operations team
· Data science team
· Client account managers
· Senior stakeholders
The role requires the ability to explain analytical findings clearly to all stakeholders, technical and non-technical
4. Essential Skills and Experience
The successful candidate will have:
· Professional experience in data analysis, data quality, business systems analysis or a closely related analytical discipline.
· Experience working with various datasets.
· Experience identifying and investigating data-quality and data-integrity issues.
· Strong data cleansing, validation and reconciliation skills.
· Experience performing exploratory data analysis and descriptive statistical analysis.
· Strong analytical and problem-solving ability.
· Experience documenting data requirements, analytical findings, issues and corrective actions.
· Strong written and verbal communication skills.
· High attention to detail and the ability to work accurately with large volumes of information.
· Ability to work independently while collaborating effectively with business and technical stakeholders.
5. Desirable Skills and Experience
The following would be advantageous:
· Experience with finance, accounting, procurement or other transactional business data.
· Experience with data visualisation and business intelligence tools.
· Experience with AI/ML datasets or model-output evaluation.
· Relevant professional or postgraduate qualification in data, information technology, analytics, business analysis or a related field.
6. Qualifications
· Degree or equivalent professional experience in data analysis, information technology, business analysis, mathematics, statistics, computer science or a related discipline.
7. Role Is Classification: SOC 3544
This position is classified under SOC 2020 code 3544 – Data Analysts because its principal duties involve gathering, organising, cleansing, validating and analysing datasets; identifying trends, patterns and anomalies; producing analytical reports and visualisations; and presenting findings to technical and non-technical stakeholders.
The role also incorporates data-quality responsibilities, consistent with the ONS’s related occupation title Data Quality Analyst.
The role is therefore centred on genuine data-analysis and data-quality activities rather than data entry, administrative processing or general IT support.
9. Salary and Working Hours
Annual salary: £42,000
Working hours: 37.5 hours per week
Employment: Full-time, permanent
The current Home Office occupation tables list SOC 3544 Data Analysts with a going rate of £34,900 based on a 37.5-hour working week.
SOC 3544 is currently included on the Temporary Shortage List, subject to the applicable immigration rules and timing requirements.
10. Recruitment and Selection
Candidates will be assessed against the requirements of this job description through a structured recruitment process. Assessment may include:
· Review of CV and relevant experience;
· Competency-based interview;
· Data-quality and analytical assessment;
· Practical interpretation of a business dataset;
· Discussion of previous data-analysis projects and experience.
Selection will be based on the candidate’s demonstrated ability to perform the duties of the Data Analyst position.
11. Equal Opportunities
The company is committed to providing equal opportunities in recruitment and employment and will assess candidates objectively against the requirements of the role.
Job Types: Full-time, Permanent
Pay: £42,000.00 per year
Work Location: In person
