L4-Data Science-CRL at Sutherland

Sutherland · Hyderabad, India

📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Sutherland 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Non-Tech 🛠 Key Skills Communication Skills Customer Handling MS Office L4-Data Science-CRL at Sutherland — Full Details & How to Apply Join Sutherland as an L4-Data Science-CRL professional in Hyderabad, India and kickstart your career in a fast-paced environment. This role offers fresh graduates a unique opportunity to grow in the data science field, particularly in non-tech sectors where data-driven decision-making is becoming increasingly vital. The L4-Data Science-CRL role is pivotal in enhancing Sutherland's data-driven decision-making processes, especially in non-tech domains like sales and operations. As industries evolve, the demand for data science professionals is skyrocketing, making this an excellent time to enter the field. With businesses prioritizing data analytics to improve customer satisfaction and operational efficiency, your contributions will directly influence strategies that drive business outcomes. This role is not just about crunching numbers; it’s about transforming data into actionable insights that can shape the future of the company. What sets Sutherland apart as an employer is its commitment to innovation and employee growth. Renowned for its forward-thinking approach, Sutherland provides a supportive environment where aspiring data scientists can thrive. The company invests in its employees through continuous learning opportunities and a robust mentorship program, ensuring that you are well-equipped to tackle the challenges of the data landscape. With a focus on enhancing your skills in a collaborative setting, Sutherland is an ideal place for your career to flourish. This role is ideal for both freshers and candidates with up to 2 years of experience . If you are a B.Tech or MCA graduate from the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. The ideal candidate should possess strong communication skills and a knack for customer handling , as these are essential for effective collaboration within teams and with clients. Your educational background will serve as a foundation, but your enthusiasm and willingness to learn will be your greatest assets. In this role, you will gain invaluable experience in process coordination , client relationship management , and reporting and communication workflows . You will work closely with seasoned professionals, allowing you to develop a comprehensive skill set that is highly sought after in the industry. This hands-on experience will not only enhance your technical abilities but also prepare you for future leadership roles in data science. NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. If you’re ready to take the next step in your career, don’t miss out on the chance to apply online for the L4-Data Science-CRL position at Sutherland . This is your moment to make a significant impact in a globally recognized company. Job Role & Responsibilities The role of a Data Science Analyst at Sutherland is pivotal in driving data-informed decision-making processes that enhance operational efficiency. By analyzing and interpreting data trends , you will directly contribute to the strategic goals of the company. Analyze and interpret data trends to support business decisions, directly impacting Sutherland's operational efficiency. Utilize MS Office tools to create reports and presentations that effectively communicate findings to stakeholders. Collaborate with cross-functional teams , including sales and marketing, to align data insights with business strategies. Measure and report on key performance indicators ( KPIs ) to track the success of data initiatives. Take ownership of specific data projects , ensuring timely completion and alignment with company goals. Document processes and findings clearly to facilitate knowledge sharing within the team. Propose innovative solutions to data-related challenges , enhancing overall data management practices. Engage in regular meetings to discuss findings and gather input from team members to refine data strategies. This role fosters an ownership culture where your contributions will significantly impact Sutherland's growth and operational success, making your role crucial in shaping the future of the company. Required Skills & Technical Competencies The ideal candidate for the Data Science Analyst position at Sutherland should possess a robust skill profile that combines technical proficiency with strong interpersonal abilities. This blend is essential for effectively communicating complex data insights to diverse stakeholders. Technical Skills MS Office (Advanced) — particularly Excel for data analysis and report generation. Data Analysis Concepts (Basic to Intermediate) — foundational knowledge to contribute effectively from day one. Data Visualization Tools (Familiarity) — enhances the ability to present data clearly and effectively. Statistical Analysis (Basic) — understanding of statistical methods to interpret data trends. Database Management (Basic) — knowledge of how to manage and query data effectively. Soft Skills & Professional Competencies Communication Skills — essential for articulating complex data insights to non-technical stakeholders. Problem-Solving — ability to identify issues and propose actionable solutions. Teamwork — vital for thriving in Sutherland's collaborative environment. Time Management — effectively managing multiple projects and deadlines. Good to Have (Bonus) Relevant Certifications in data analysis or related fields. Familiarity with SQL for data querying and management. Experience with Data Cleaning techniques to ensure data integrity. To showcase these skills in your resume or during an interview for the Data Science Analyst role, emphasize relevant coursework, projects, and any hands-on experience that demonstrates your ability to analyze data and communicate findings effectively. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to start their careers in data science and analytics. Candidates must hold a degree in any discipline, allowing for diverse educational backgrounds. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 6.0 is preferred, reflecting a solid academic foundation. Prior internship or hands-on project experience is a strong advantage. Strong communication skills are essential for success in this role. Basic understanding of data analysis concepts is expected. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting relevant skills and experiences. Include any projects or internships related to data analysis, and consider creating a portfolio showcasing your work. Relevant certifications in data analysis can significantly strengthen your application. Pro Tip: Tailor your resume to highlight specific skills and experiences relevant to the Data Science Analyst role at Sutherland to improve your application success rate. Salary & Benefits 💰 Compensation As per Company Policy The compensation philosophy at Sutherland for the L4-Data Science-CRL role emphasizes fair and competitive remuneration, aligning with the company's commitment to valuing its employees. Salary will be As per Company Policy , ensuring that all employees receive equitable compensation for their contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to training sessions and certifications to enhance your skills Flexible Working Hours — options for hybrid work arrangements to promote work-life balance Performance-Based Bonuses — additional financial incentives based on individual and company performance Transport Allowances — assistance for commuting costs to ensure convenience Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Subsidies — financial support for daily meals to enhance your work experience Employee Assistance Programs — support for mental health and well-being Internal Mobility Opportunities — pathways for career advancement within the organization Team Building Activities — regular events to foster collaboration and camaraderie Career Progression & Salary Growth At Sutherland , employees can expect a structured appraisal cycle, typically occurring annually, with raises averaging around 10-15% based on performance. The company promotes rapid career advancement through regular performance reviews and clear pathways for internal promotions, ensuring that dedicated employees can progress swiftly in their careers. NexisGrow.com tip: When negotiating your salary, research industry standards for the L4-Data Science-CRL role and be prepared to discuss your unique skills and contributions. Selection Process The hiring philosophy at Sutherland focuses on identifying candidates who not only possess the necessary technical skills for the L4-Data Science-CRL role but also align with the company's culture and values. The selection process is designed to be thorough yet efficient, ensuring that the best candidates are chosen. 1 Round 1: Initial Screening — review of applications to assess basic qualifications and fit for the role 2 Round 2: Technical Interview — evaluation of data analysis skills and problem-solving abilities through practical scenarios 3 Round 3: Behavioral Interview — assessment of cultural fit and communication skills through situational questions 4 Final Stage: Offer Discussion — negotiation of the offer and background check to confirm candidate details What Each Round Tests Round 1 focuses on basic qualifications and overall fit for the L4-Data Science-CRL role. Round 2 dives deeper into technical expertise, particularly in data analysis and problem-solving . Round 3 assesses how well candidates communicate and align with the company culture. Timeline & Expectations The entire selection process typically takes 2-4 weeks from application to offer. Candidates can expect timely communication from Sutherland regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with common data science scenarios and be prepared to discuss your thought process during problem-solving . How to Apply for L4-Data Science-CRL at Sutherland Apply Now — Sutherland Create Your Profile — visit the application portal and set up your account. Upload Your Resume — ensure it highlights relevant skills and experiences that align with the L4-Data Science-CRL role. Complete the Application Form — fill in all required details accurately. Track Your Application — monitor your application status through the portal for updates. Prepare for Interviews — start preparing based on the selection process outlined above. Resume & Profile Tips for This Role Highlight Analytical Skills — showcase your proficiency in data analysis and relevant tools. Include Relevant Projects — detail any hands-on experience in data science or related fields. Emphasize Soft Skills — mention communication skills and problem-solving abilities. Tailor Your Resume — customize your resume to reflect the job description for the L4-Data Science-CRL role. Applications are accepted on a rolling basis, so early submission is encouraged to enhance your chances of securing an interview. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the L4-Data Science role at Sutherland? Eligibility Tap to expand + Answer Candidates must have any graduate degree, be from the 2023-2026 batches, and can be freshers or have up to 2 years of experience. ? What is the interview process for the L4-Data Science role at Sutherland? Interview Tap to expand + Answer The process includes an initial screening, a technical interview, and a behavioral interview to assess both skills and cultural fit. ? What skills and tools will I need for this role? Skills Tap to expand + Answer Candidates should be proficient in MS Office, have strong communication skills, and possess a basic understanding of data analysis concepts. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary is competitive and aligned with company policy, with opportunities for performance-based bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Hyderabad, with potential for hybrid arrangements based on company policy. ? What is the career growth path after joining Sutherland as L4-Data Science? Growth Tap to expand + Answer Employees can expect a structured growth path with regular performance reviews and opportunities for promotions within 6-12 months. ? How should I prepare for the L4-Data Science interview at Sutherland? Preparation Tap to expand + Answer Prepare by reviewing data analysis concepts, practicing problem-solving scenarios, and honing your communication skills. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills and experiences for the role. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period during which performance will be assessed; focus on meeting expectations and seeking feedback. ? What is the work culture like at Sutherland? Culture Tap to expand + Answer The culture emphasizes collaboration, diversity, and continuous learning, fostering an environment where employees can thrive. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com