Data Scientist

Netrolynx AI; United Kingdom; On-site; GBP 42,000 - 64,000; Full time

Job summary

ARM is seeking a Data Analyst for a high-profile finance data programme with a leading financial consultancy. This role focuses on analysing and reconciling complex datasets using SQL, supporting data quality and delivery activities across finance, risk, data and technology teams.

You will translate business needs into clear rules, mappings and acceptance criteria, and present findings in a way that is useful to both technical and non-technical audiences, enabling informed decision-making

Qualifications

• Strong practical SQL skills including joins, aggregations and performance optimisation.
• Experience analysing or supporting data within financial services.
• Hands-on data reconciliation and investigating data quality issues.
• Ability to define or document business rules, data mappings and acceptance criteria.
• Clear written and verbal communication skills, with the confidence to explain analysis to different audiences.
• Strong problem-solving skills and a thorough, methodical approach to validating data and documenting outcomes.
• Experience using a business intelligence tool such as Power BI, Tableau or Looker would be beneficial.
• Knowledge of BigQuery, data governance practices or Python would be advantageous.

Responsibilities

• Analyse, compare and reconcile large finance datasets using SQL.
• Investigate data discrepancies, identify underlying causes and support resolution across multiple systems.
• Assess data quality and document findings, impacts and follow-up actions.
• Define and maintain business rules, data mappings and acceptance criteria in collaboration with relevant stakeholders.
• Support test planning, data validation and release activities, helping confirm that changes meet agreed requirements.
• Prepare clear analysis, reports and documentation for technical teams, business users and programme stakeholders.
• Collaborate with finance, risk, data and technology colleagues to clarify requirements and progress issues.
• Share risks, dependencies and findings promptly, contributing to reliable delivery and continuous improvement.

Skills

SQL

Data reconciliation

Data quality

Communication

Problem solving

Data governance

Tools

Power BI

Tableau

Looker

BigQuery

Python

Job description

About The Company

ARM is a specialist talent acquisition and management consultancy supporting organisations with technical recruitment and resource solutions. Its specialist divisions cover a broad range of technical sectors, including industries that are economically and strategically important in the UK and around the world. ARM works with clients to connect them with skilled professionals who can contribute to complex programmes and business priorities. Candidates’ CVs are not submitted to clients without their permission.

About The Company

ARM is a specialist talent acquisition and management consultancy supporting organisations with technical recruitment and resource solutions. Its specialist divisions cover a broad range of technical sectors, including industries that are economically and strategically important in the UK and around the world. ARM works with clients to connect them with skilled professionals who can contribute to complex programmes and business priorities. Candidates’ CVs are not submitted to clients without their permission.

About The Role

ARM is seeking a Data Analyst for a high-profile finance data programme with a leading financial consultancy. This opportunity would suit an analytical professional who enjoys working with complex datasets, uncovering the causes of data issues and helping teams make informed decisions. You will apply strong SQL skills to analyse and reconcile finance data across multiple systems, while contributing to data quality, testing and delivery activities.

Working with finance, risk, data and technology stakeholders, you will help translate business needs into clear rules, mappings and acceptance criteria. You will present findings in a way that is useful to both technical and non-technical audiences, supporting shared understanding and effective decision-making. The role calls for a careful, structured approach, sound judgement when investigating discrepancies, and the ability to manage detail without losing sight of programme objectives.

Qualifications

• Strong practical SQL skills, including joins, aggregations, common table expressions and query performance optimisation.


• Experience analysing or supporting data within financial services.


• Hands-on experience with data reconciliation and investigating data quality issues.


• Ability to define or document business rules, data mappings and acceptance criteria.


• Clear written and verbal communication skills, with the confidence to explain analysis to different audiences.


• Strong problem-solving skills and a thorough, methodical approach to validating data and documenting outcomes.


• Experience using a business intelligence tool such as Power BI, Tableau or Looker would be beneficial.


• Knowledge of BigQuery, data governance practices or Python would be advantageous.

Responsibilities

• Analyse, compare and reconcile large finance datasets using SQL.


• Investigate data discrepancies, identify underlying causes and support resolution across multiple systems.


• Assess data quality and document findings, impacts and follow-up actions.


• Define and maintain business rules, data mappings and acceptance criteria in collaboration with relevant stakeholders.


• Support test planning, data validation and release activities, helping confirm that changes meet agreed requirements.


• Prepare clear analysis, reports and documentation for technical teams, business users and programme stakeholders.


• Collaborate with finance, risk, data and technology colleagues to clarify requirements and progress issues.


• Share risks, dependencies and findings promptly, contributing to reliable delivery and continuous improvement.

Benefits

This role offers the opportunity to contribute to a high-profile finance data programme and work with stakeholders across business and technology teams. You can apply and develop your data analysis skills in a financial services context, gain exposure to complex datasets and support meaningful improvements to data quality and reporting. The position also provides scope to strengthen your experience in SQL, reconciliation, testing and stakeholder collaboration. Specific employment terms and benefits will depend on the engagement and will be discussed during the recruitment process.

Equal Opportunity

ARM is committed to fair and professional recruitment. Candidates will be considered on the basis of their relevant skills, experience and suitability for the role. If you require an adjustment or support during the recruitment process, please let ARM know so that your needs can be discussed. ARM will not submit your CV to a client without your permission. Where a role is advertised as Outside IR35, this is subject to the end client issuing a final Status Determination Statement and may be subject to change.