About GTS
GTS Recruitment
Job Role: Data Analyst
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022 / 2021
Salary: up to ₹4.6 LPA
Job Location: Bhiwadi
Last Date: ASAP
Job Notification Join us on Telegram: Click here
Job Description
We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. This role is ideal for individuals with 0-2 years of experience in data analysis who are passionate about transforming data into actionable insights. As a Data Analyst at GTS, you will work closely with cross-functional teams to analyze and interpret data, support data-driven decision-making, and contribute to the overall success of our projects.
Key Responsibilities
• Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
• Develop and maintain reports, dashboards, and visualizations to effectively communicate data findings.
• Collaborate with project managers, data scientists, and other stakeholders to understand data requirements and deliver actionable insights.
• Assist in the design and implementation of data collection and data annotation processes.
• Perform data validation and quality assurance to ensure data accuracy and integrity.
• Utilize statistical and analytical techniques to solve complex business problems.
• Support ad-hoc data analysis requests and provide timely and accurate responses to data inquiries.
• Stay up-to-date with industry trends, tools, and best practices in data analysis and data visualization.
Qualifications
• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Technology, or a related field.
• 0-2 years of experience in data analysis, data visualization, or a related role.
• Proficiency in data analysis tools and software such as Excel, SQL, R, Python, or similar.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiarity with data annotation and data collection processes is a plus.
Technical Skills:
o Proficiency in SQL for querying databases.
o Experience with data analysis programming languages like Python or R.
o Knowledge of statistical analysis and modeling techniques.
o Ability to use data visualization tools like Tableau, Power BI, or similar.
o Familiarity with data cleaning and data wrangling techniques.
Analytical Skills:
o Strong quantitative and qualitative analytical abilities.
o Capability to identify trends, patterns, and anomalies in data.
o Problem-solving mindset with a focus on practical and scalable solutions.
Communication Skills:
o Excellent written and verbal communication skills.
o Ability to translate complex data findings into understandable insights.
o Experience presenting data and findings to non-technical stakeholders.
Organizational Skills:
o Strong attention to detail and commitment to data accuracy.
o Ability to manage multiple tasks and projects simultaneously.
o Proactive and self-motivated with a strong work ethic.
What We Offer
• Competitive salary and benefits package.
• Opportunity to work on cutting-edge projects in the field of AI and machine learning.
• Professional development and growth opportunities.
• A collaborative and inclusive work environment.
How to Apply For GTS In 2024?
Dreaming of a GTS career. Follow these simple steps to apply for their 2024 opportunities:
- Click “Apply Here“: Head straight to the GTS career page using the button below.
- Start Your Application: Hit “Apply“ to begin.
- Register or Login: Create an account if you‘re new, or login if you‘re already registered.
- Complete the Form: Fill in all required details accurately.
- Upload Documents: Submit your resume and any other requested documents.
- Review and Verify: Double–check all information before submitting.
- Submit: Hit submit and take a step closer to your dream career.
Apply Link For GTS – Apply Here
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