HR Data Analyst

Advanced Resource Managers; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading global IT services company is seeking a Mid-Senior Data Analyst to join their team. The role involves analyzing data within the Hire to Retire value stream, creating reports, and providing insights to enhance data management. Candidates should have proven experience in data analysis and be proficient in SQL and data visualization tools. Benefits include healthcare, pension matching, and access to training platforms.

Benefits

Healthcare and dental insurance

Company pension matched up to 5%

25 days of annual leave plus bank holidays

Life assurance—4x annual salary

Cycle to work scheme

Access to Udemy training platform

Qualifications

• Proven experience in data analysis within large-scale HR system replacement projects.
• Strong analytical skills and proficiency in SQL and data visualization tools.

Responsibilities

• Write SQL queries to extract and analyze data from various sources.
• Map, clean, and process data for consistency and accuracy.
• Present findings clearly to stakeholders for actionable insights.

Skills

Analytical Skills

Problem-Solving

Communication

Critical Thinking

Tools

SQL

Power BI

Job description

Advanced Resource Managers provided pay range

This range is provided by Advanced Resource Managers. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Advanced Resource Managers

Hybrid (1-2 days per month in London or Portsmouth offices)

Reporting to:

Head of Data and Analytics

Are you an experienced Data Analyst looking for a new challenge? Do you have experience working on Hire to Retire value streams?

Here at ARM, we are recruiting for a full-time, permanent Data Analyst position for a global IT services and consultancy client.

Our client:

They’re a leading business with a global reach that empowers local teams, undertaking exciting work that is genuinely changing the world. Their portfolio includes consulting, applications, business process, cloud, and infrastructure services, offering you opportunities to achieve great things with talented colleagues and clients on innovative projects.

Responsible for:

Mapping and analyzing data, creating reports, and providing data insights to enable data integration, management, and cleansing within the Hire to Retire value stream. This involves analyzing data from diverse sources, exploring and visualizing data, conducting statistical analysis, and managing version control.

Scope:

This role covers all data within the Hire to Retire value stream. You will design and implement data flows connecting production and analytical systems, create solution and data-flow diagrams, and document processes to support governance and maintenance. Ensure compliance with change and release management procedures.

Responsibilities:

• Write SQL queries to extract, manipulate, and analyze data from various sources (databases, APIs, spreadsheets, etc.).
• Map, clean, and process data to ensure consistency and accuracy.
• Perform exploratory data analysis to identify patterns and trends, providing recommendations for master data management.
• Present findings clearly to stakeholders for actionable insights.
• Collaborate with IT and system users to understand business requirements and ensure data accessibility and integrity.
• Maintain data security and ensure compliance with industry standards such as GDPR.
• Monitor and troubleshoot data issues, optimize performance.
• Document data processes and workflows for technical and non-technical audiences.

Qualifications:

• Proven experience in data analysis within at least two large-scale HR system replacement projects involving data migration (preferably with SAP SuccessFactors and Sage People).
• Experience working with data across the Hire to Retire value stream.
• Strong analytical and problem-solving skills.
• Proficiency in SQL and data visualization tools (preferably Power BI).
• Ability to handle large datasets and extract meaningful insights.
• Excellent communication skills for presenting data-driven recommendations to non-technical stakeholders.
• Ability to interpret data, ensure accuracy, and identify inconsistencies.
• Critical thinking skills for evaluating data objectively.
• Eagerness to learn and stay updated with new data technologies.

Benefits include:

• Healthcare and dental insurance.
• Company pension matched up to 5%.
• 25 days of annual leave plus bank holidays, with options to purchase 5 additional days.
• Life assurance—4x annual salary.
• Cycle to work scheme.
• Access to Udemy training platform with over 5000 courses, emphasizing internal development.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst and Information Technology

Industries

• IT System Design Services and IT Services and Consulting

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