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Job Overview
| Category | Details |
|---|---|
| Job Role | Analytics Engineer |
| Company | Sutherland Global Services |
| Location | India / Multiple possible locations |
| Work Mode | Full-time / On-site / Hybrid (as per company norms) |
| Experience | Mid-level (Typically ~2–5+ Years) |
| Education | Bachelor’s/Master’s degree in Computer Science, Data Analytics, Engineering or related. |
| Skills Required | SQL, data modeling, BI tools, dashboards, data quality monitoring, analytics frameworks |
About Company
Sutherland Global Services is a global digital transformation services provider that combines deep business expertise with advanced digital technologies. The company partners with leading brands across industries to drive operational excellence, engineering adoption of analytics, automation, and cloud-based platforms, and deliver measurable business results. With a focus on innovation and a collaborative culture, Sutherland invests in employee skill development and offers opportunities to work on meaningful, large-scale analytics and engineering solutions.
Detailed Responsibilities
As an Analytics Engineer at Sutherland, your responsibilities will include:
Monitoring data freshness, completeness, and accuracy of key datasets.
Creating alerting mechanisms and validation checks for KPI anomalies and data quality issues.
Building and enhancing data models for business reporting and analytics needs.
Designing, developing, and optimizing dashboards and visual analytics for insights consumption.
Collaborating with data engineers, analysts, and business stakeholders to translate requirements into scalable metrics and analytics solutions.
Documenting metric definitions, calculation logic, and creating data dictionaries to support data governance.
Ensuring analytics solutions meet performance, security, and usability standards.
Eligibility Criteria
Bachelor’s or Master’s degree in Computer Science, Statistics, Data Analytics, Engineering, or related field.
Strong SQL skills and understanding of data warehousing concepts.
Experience working with BI tools, analytics platforms, and metrics modeling.
Familiarity with dashboard design, data visualization best practices, and data governance principles.
Ability to troubleshoot data quality issues and optimize analytics workflows.
Good communication and collaboration skills to work with technical and business teams.
Skills Required / Preferred Skills
Deep knowledge of SQL and data transformation languages.
Experience with business intelligence/ analytics visualization tools.
Strong analytical, problem-solving, and logical reasoning skills.
Ability to document and explain metric definitions and data logic.
Awareness of dimensional data modeling and data quality frameworks.
Selection Process
| Stage | Description |
|---|---|
| Resume Screening | Evaluation of education, analytics skills, and relevant experience |
| Technical Assessment | Assessment of SQL, dashboarding, modeling and data interpretation skills |
| Managerial Round | Discussion on analytics approach, teamwork, and cultural fit |
| Final Decision | Offer issuance as per Sutherland hiring norms |
Salary & Benefits
Analytics Engineers at Sutherland earn competitive salaries that reflect the analytics and technical skill set required for the role. Typical compensation for analytics and data roles at Sutherland ranges around middle industry standards for analytics engineering positions, with variation depending on experience and location. Benefits often include health insurance, performance incentives, paid time off, retirement/provident fund contributions, learning and development support, and opportunities to work on global analytics projects with advanced tools and platforms. Performance bonuses, recognition programs, and career progression paths are commonly part of the total rewards package at Sutherland.
How to Apply (Step-by-Step)
Visit the official Sutherland careers job posting.
Click the apply button and log in or create your candidate profile.
Enter your personal, educational, and professional details.
Upload your updated resume/CV.
Submit your application and regularly check your email for updates from the hiring team.
👉 Apply here
Resume Tips
Keep your resume concise and highlight analytics, SQL, and BI experience.
Showcase any dashboard or reporting work you have done.
Quantify your impact using numbers (e.g., improved data quality by 20%).
Include tools and platforms you are proficient in (SQL, Power BI, Tableau, etc.).
Use a professional email and updated contact details.
Assessment / Interview Tips
Practice SQL queries and data transformation scenarios.
Review basics of dimensional modeling and analytics design.
Be ready to discuss any analytics dashboards you have built.
Explain your problem-solving approach with real-world data examples.
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