Sr. Data Analyst/Data Scientist based at Noida

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Sr. Data Analyst/Data Scientist based at Noida

1 Nos.
92838
Full Time
4.0 Year(s) To 4.0 Year(s)
10.00 LPA TO 16.00 LPA
Data Science & Analytics / BI
Telcom/ISP/Dotcom
26th Sep, 2024
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Job Description:
Role Overview:
 
The ideal candidate will have a strong background in machine learning,
predictive analytics(Churn Prediction, Win-back model ,RFM model, Price sensitivity Analysis..etc),
data analysis, statistical methodologies,  SQL, and Python.
 
Key Responsibilities:
 
• Develop and implement machine learning models and algorithms.
• Conduct predictive analytics to drive business insights.
• Analyse complex datasets to support decision-making.
• Utilize SQL and Python for data manipulation and analysis.
• Create interactive dashboards and reports using Power BI.
• Collaborate with cross-functional teams to integrate data-driven solutions.
 
 
Desired Profile / Criteria / Skills :
Qualifications:
 
• 4+ years of experience in data science or a related field.
• Proficiency in machine learning, predictive analytics, SQL, and Python.
• Strong problem-solving skills and ability to work with large datasets.
• Excellent communication skills and a team player.
Key Skills :
Company Profile

--- --- India Limited is India’s largest direct-to-home (DTH) Company with a subscriber base of more than 23.6 million. --- --- India Limited owns multiple individual brands like --- ---, Zing and d2h under its umbrella. The company benefits from multiple satellite platforms including NSS-6, SES-8, GSAT-15 and ST-2 and has a bandwidth capacity of 1350 MHz, the largest held by any DTH player in the country. --- --- India Limited has on its platform more than 709 channels & services including 31 audio channels and 70 HD channels & services. The Company has a vast distribution network of over 4,000 distributors & around 400,000 dealers that span across 9,415 towns in the country. --- --- India Limited is connected with its pan-India customer base through call-centres that are spread across 22 cities and are equipped to handle customer queries 24X7 in 12 different languages. For more information on the Company, please visit www.------.in

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