Data Analyst at Pinkerton

Apply for the Data Analyst position at Pinkerton in Gurugram (2-5 years of experience). Drive global threat intelligence and corporate security metrics using SQL, Python, R, and Tableau.

About the Company: Pinkerton

With a legacy spanning over 170 years, Pinkerton stands as the world’s most historic and trusted provider of comprehensive enterprise risk management, corporate intelligence, and security consulting services. Pinkerton provides specialised risk mitigation strategies—ranging from tactical investigations and protective intelligence to background screening and global threat monitoring—for Fortune 500 enterprises, tech giants, and critical institutions worldwide.

Operating with a massive global footprint, Pinkerton maintains an unmatched reputation for guarding corporate assets, intellectual property, and executive teams. The data science and analytics group operates as an elite investigative and operational center. They synthesise massive amounts of real-time threat data, incident logs, and geographical risk indexes to help global organisations protect their teams and assets.

About the Role: Data Analyst

Are you a skilled data professional who wants to apply advanced analytics to corporate protection and global risk mitigation? Pinkerton is hiring a full-time, permanent Data Analyst to join its elite physical security analytics squad embedded with a major global technology client in Gurugram, Haryana, India. This role is designed for professionals with 2 to 5 years of experience who have a strong background in data science, statistics, or computing.

In this position, you will step away from generic business reporting to focus on safety and risk intelligence. You will serve as the analytical engine behind physical security infrastructure, gathering and cleaning complex datasets from global monitoring devices, incident tracking networks, and security arrays. Using advanced SQL querying, Python/R predictive modeling, and interactive dashboards, you will turn raw security logs into actionable risk insights for executive stakeholders.

Key Responsibilities & Risk Analytics Workflows

• Data Cleansing & Integrity: Gather, scrub, and structure large, unstructured datasets from global physical security devices, building automated data collection pipelines that guarantee accuracy.

• Statistical Trend Exploration: Apply statistical methods to analyze complex data pools, identifying risk trends, security vulnerabilities, and operational patterns.

• Interactive Visualization Design: Build and maintain interactive dashboards and risk reports using visualization platforms like Tableau or Google Data Studio (Looker Studio).

• Cross-Functional Consultation: Partner closely with client tech teams, product managers, physical security infrastructure engineers, and regional directors to map business workflows to analytical frameworks.

• Executive Insights Presentation: Present complex analytical findings, threat vectors, and mitigation models to corporate leadership teams in a clear, compelling manner.

• Process Improvement Audit: Proactively audit active security frameworks and intake workflows to identify gaps, recommending automation opportunities to save time.

• System Integrity Maintenance: Ensure all analytical assets, security logs, and database metrics comply with Pinkerton’s core pillars of integrity, vigilance, and excellence.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine a strong detail-oriented approach to database management with the critical thinking skills needed to spot hidden anomalies in data pools.

Required Experience & Educational Baseline:

• Professional Tenure: 2 to 5 Years of hands-on experience as a Data Analyst or Data Scientist within a fast-paced corporate environment.

• Academic Credentials: Bachelor’s degree (or equivalent) in Data Science, Statistics, Computer Science, or a related quantitative field. Advanced postgraduate degrees are a strong plus.

• Core Soft Skills: Keen problem-solving abilities, close attention to detail, and the communication skills needed to explain technical risk findings simply to non-technical teams.

Core Technical Stack Competencies:

• Data Science Programming: Practical proficiency in writing data analysis scripts in Python or R to manipulate data.

• Database Querying (SQL): Solid ability to write structured SQL queries from scratch to pull, join, and filter data from large databases.

• Business Intelligence (BI) Ecosystems: Hands-on experience developing corporate visual layouts and self-service maps in Tableau or Google Data Studio.

• Statistical Foundation: Good understanding of statistical analysis methods, data mining, and predictive concepts.

Core Position Specifications

• Position Title: Data Analyst

• Hiring Organisation: Pinkerton (Embedded Tech Client Division)

• Corporate Work Location: Sector 44, Gurugram, Haryana, India

• Experience Allotment: 2 – 5 Years

• Compensation Profile: Competitive Corporate Salary (Not Disclosed / Best in Market Benchmarks)

• Employment Framework: Full-Time, Permanent corporate assignment

• Industry Placement: Risk Management / IT Services & Consulting

• Functional Department: Data Science & Analytics

• Role Category: Business Intelligence & Analytics