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WN Infotech

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349 WN Infotech Jobs

Data Analyst

WN Infotech

0-4 years

Noida, Pune, Gurgaon / Gurugram + 1 more

1 vacancy

Data Analyst

WN Infotech

posted 8d ago

Job Role Insights

Key skills for the job

Computer Science Python SQL Clinical SAS Programming Data Visualization Data Warehousing

+ 3 more

Job Description

Job Summary

As a Data Analyst at WN Infotech, you will be responsible for interpreting data, analyzing results, and providing insights to support business decision-making. You will work closely with the management team to identify trends, develop reports, and optimize processes, contributing to the company's overall growth and success.

Your Role and Responsibilities

Collect, clean, and analyze large datasets to identify trends, patterns, and correlations.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics.
Collaborate with cross-functional teams to understand data requirements and provide analytical support for business initiatives.
Identify opportunities for process improvement and optimization based on data analysis.
Present findings and insights to stakeholders in a clear and concise manner.

Required Technical and Professional Expertise

Proficiency in SQL and experience working with relational databases.
Strong analytical and problem-solving skills with the ability to work with complex datasets.
Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
Advanced Excel skills, including pivot tables, formulas, and data manipulation.
Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders.

Qualification & Experience Required

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
2+ years of experience as a data analyst or in a similar role.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Experience with programming languages such as Python or R is a plus.
Familiarity with data warehousing concepts and tools is preferred.

Employment Type: Full Time, Permanent

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