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Bt - Data Sciece & Data Analyst

Fresher - 1 years
3 - 6 LPA
10 June 19, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

BT – Data Science & Data Analyst (Entry-Level)

Location: Bangalore, India
Experience Required: 0–1 Year
Job Code: REQ-009452
Company: Sagility
Job Type: Full-Time (Entry-Level)
Apply Before: [As per portal]


About Sagility

Sagility is a global BPM leader with over 25,000 employees across 5 countries. We specialize in healthcare process optimization with services in clinical management, member engagement, claims processing, payment integrity, and data analytics.


Role Summary

We are looking for fresh graduates or candidates with up to 1 year of experience for the position of Data Science & Data Analyst. This role is perfect for entry-level professionals aiming to build a career in data analytics.


Key Responsibilities

  1. Assist in data collection, cleaning, and transformation tasks.

  2. Collaborate with internal teams to understand data and reporting requirements.

  3. Apply basic data analysis techniques and support data validation.

  4. Participate in documentation and internal review processes.

  5. Contribute to data-driven insights under the guidance of senior analysts.


Required Qualifications

  1. Graduate or Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or related field.

  2. 0–1 year of relevant experience (freshers are encouraged to apply).


Mandatory Skills

  1. Strong written and verbal communication skills.

  2. Basic knowledge of data structures and databases.

  3. Familiarity with Excel, SQL, Python, or R for data analysis.

  4. Excellent analytical and problem-solving ability.

  5. Ability to work in diverse and collaborative team environments.

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