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Data Analyst


Zehntech


Location

Indore | India


Job description

About the company:

Zehntech is a fast-growing IT solution and product development company located in central India. As a 

leading provider of software development, maintenance, and support services, we serve global clients 

from our state-of-the-art development center in Indore. At Zehntech, we foster a culture of excellence, 

offering rewarding career opportunities in software SaaS product development, Bigdata, and IoT.

Position: Data Analyst

Required Experience: 02–05 years

Skills and responsibilities:

1. Collect, clean, and transform data from various sources to ensure data quality and accuracy. 

2. Perform data analysis to identify trends, patterns, and correlations in datasets. 

3. Create meaningful data visualizations, reports, and dashboards to communicate findings to 

stakeholders. 

4. Collaborate with teams across the organization to understand data requirements and provide 

actionable insights. 

5. Assist in the development and maintenance of data pipelines and ETL processes. 

6. Support ad-hoc data analysis requests and provide data-driven solutions to business problems. 

7. Utilize statistical and machine learning techniques for predictive modeling and data mining. 

8. Stay updated on industry best practices and technologies to enhance data analysis capabilities. 

Requirements:

1. A minimum of 2 years of professional experience as a Data Analyst. 

2. Proficiency in data analysis and visualization tools such as Python, R, or data visualization 

platforms like Tableau or Power BI. 

3. Strong knowledge of SQL for data extraction and manipulation. 

4. Experience with statistical analysis and data modeling. 

5. Familiarity with machine learning concepts and practical application. 

6. Excellent data storytelling and communication skills. 

7. Attention to detail and the ability to work with complex datasets. 

8. Problem-solving skills and the ability to draw insights from data. 

9. Strong teamwork and collaboration skills. 

Preferred Qualifications:

1. Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer 

Science, or a related discipline.

2. Industry certifications such as Certified Data Analyst (CDA) or related credentials. 

3. Experience with big data technologies such as Hadoop, Spark, or NoSQL databases

What you will love about us:

Great company culture | Work that stays at work | Preparing for future | Learning & Development | 05 


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