Website Randstad

Partner for Talent

Randstad, one of the world’s most trusted HR and talent solutions leaders, is seeking a highly skilled Data Analyst to join its Business Risk & Audit Function (BR&AF). Though the official location for this role is Bengaluru, India, the position supports hybrid working, offering flexibility and a dynamic global work culture. This opportunity is ideal for experienced analytics professionals who enjoy contributing to governance, risk, compliance, and data-driven strategy at an international scale.

Randstad is known for placing people at the heart of every decision. The organization is committed to creating an environment where talent thrives, innovation is encouraged, and technology enhances human potential. As part of this mission, the BR&AF team plays a crucial role in strengthening global audit quality, internal controls, and enterprise-level risk management. If you are passionate about data, insights, and meaningful impact—this role is an excellent fit.

About the Role

As a Data Analyst in BR&AF, you will support global audit teams, risk partners, and senior leaders by delivering advanced analytics that guide decision-making. Your work will directly contribute to improving control environments, detecting anomalies, identifying risk patterns, and implementing analytics frameworks across multiple regions and business functions.

This role demands strong technical skills, analytical thinking, business understanding, and a collaborative mindset. You will be instrumental in helping Randstad adopt innovative analytics technologies—such as machine learning, predictive models, and generative AI—to enhance audit and risk operations worldwide.

Key Responsibilities

1. Contribute to the Analytics Roadmap

You will help develop, enhance, and roll out the BR&AF analytics strategy. This includes identifying opportunities for automation, analytics integration, and technology enablement across audits, investigations, and control assessments.

2. Perform Advanced Data Analysis

Your responsibilities include:

  • Data profiling, cleansing, and validation

  • Data mining and trend analysis

  • Predictive modeling for risk insights

  • Building dashboards and visual reports

  • Leveraging statistical techniques to detect anomalies

You will transform raw data from various internal and external sources into meaningful insights that support audit objectives and business discussions.

3. Support Audit & Risk Management Activities

Work with global audit teams to embed analytics into audit procedures, sampling, root cause analysis, and internal control evaluations. You will ensure high-quality analytics outputs and support the teams in interpreting and utilizing insights effectively.

4. Drive Innovation & Technology Adoption

The role includes researching and evaluating the latest tools, frameworks, and AI-driven methods to modernize audit analytics. This involves experimenting with machine learning, generative AI, and automation to improve efficiency and impact.

5. Strengthen Data Governance

Support efforts to establish clear governance around data retention, lifecycle management, control structures, and technology sustainability across BR&AF.

6. Build Capabilities Across Teams

You will coach and assist non-technical colleagues, helping them understand analytics results and enabling them to adopt a data-driven mindset. This includes documentation, knowledge-sharing, and partnering with stakeholders across multiple countries.

Who You Will Work With

In this global role, you will collaborate with:

  • Business Risk & Audit Partners

  • Global applications & data management teams

  • IT security, data protection & information security teams

  • Local and regional business units

  • External co-sourcing audit partners

  • Global stakeholders in digital, talent, client, and shared service processes

This exposure provides an excellent opportunity to work with diverse cultures, business models, and governance frameworks.

Required Qualifications

To succeed in this role, you should bring:

  • 5–8 years of experience in data analytics or related fields

  • A Master’s degree in Computer Science, Business Information Management, Mathematics, or equivalent

  • Proven experience in:

    • Machine Learning (5+ years)

    • Data Visualization (5+ years)

    • Data Analysis & Statistical Modeling (5+ years)

  • Certifications such as CAP, CDMP, CISA, or CISSP (preferred)

  • Business English proficiency (B1/B2 or higher)

  • Ability to simplify technical topics for non-technical audiences

  • Strong problem-solving, innovation, and stakeholder management skills

  • Willingness to travel (20–30%) as part of global assignments

Competencies Valued by Randstad

Randstad follows a Human Forward Leadership model emphasizing:

  • Delivering client-centric solutions

  • Managing ambiguity & driving change

  • Resourcefulness and operational excellence

  • Vision-driven leadership

  • Ability to challenge, influence, and collaborate across cultures

  • Strong organizational sensitivity

Why Join Randstad?

  • People-first work culture

  • Opportunity to work with global teams

  • Hybrid work flexibility

  • Exposure to cutting-edge analytics and AI

  • Professional growth through coaching & cross-functional projects

  • Inclusive environment that values diversity, equity, and belonging

If you see yourself thriving in this dynamic global analytics environment, Randstad welcomes your application.

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