Live opening · Posted 1 day ago

Data Analytics

Al-Ameen institute of information science · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAl-Ameen institute of information science
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Company Description Al-Ameen Institute of Information Science is an education-focused institution committed to developing skilled professionals in information technology and related fields. Located in Bengaluru, the institute emphasizes practical learning, industry relevance, and exposure to emerging technologies. It aims to create an environment where data-driven decision-making and innovation are encouraged across academic and administrative activities. The institute values collaboration, continuous learning, and the application of analytics to solve real-world problems.
Role Description The Data Analytics role is a full-time, on-site position based at Al-Ameen Institute of Information Science in Bengaluru. The professional in this role will collect, clean, and validate data from various academic, administrative, and operational sources. Daily responsibilities include performing quantitative analyses, generating reports and dashboards, and translating data insights into recommendations for institutional improvement. The role involves working with stakeholders to understand their information needs, designing metrics and KPIs, and presenting findings in a clear, accessible format. The individual will also support ongoing analytics projects, contribute to process optimization, and stay current with best practices in data analytics and visualization.
Qualifications
Candidates should possess strong Analytical Skills and a solid foundation in Analytics for problem-solving and decision support.
Candidates should possess skills in Data Analytics and Business Analytics to interpret complex datasets and provide actionable insights.
Candidates should possess knowledge of Statistics to design analyses, interpret results, and validate conclusions.
Proficiency with data analysis tools and languages (such as Excel, SQL, Python, or R) and familiarity with visualization tools (such as Power BI or Tableau) is beneficial.
A bachelor’s or master’s degree in Data Analytics, Computer Science, Statistics, Information Science, or a related field is preferred.
Ability to communicate technical findings to non-technical stakeholders, work collaboratively in cross-functional teams, and manage multiple tasks effectively is expected.

Work arrangement
No

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