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Intangles

Data Analyst

Pune

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Summary - Data Analyst

We are looking to hire a data analyst to join our enterprise customer solutions team. As a Data Analyst, one will take responsibility for developing reports, and troubleshooting data issues. To do well in this role you need attention to detail, past experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

Data Analyst Responsibilities:

● Commissioning and decommissioning of data sets.

● Processing confidential data and information according to guidelines.

● Helping develop reports and analysis.

● Managing and designing the reporting environment, including data sources, security, and metadata.

● Supporting the data warehouse in identifying and revising reporting requirements.

● Supporting initiatives for data integrity and normalization.

● Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

● Generating reports from single or multiple systems.

● Troubleshooting the reporting database environment and reports.

● Evaluating changes and updates to source production systems.

● Training end-users on new reports and possible dashboards.

● Provide quality assurance of imported data (based on integration with the customers data), working with quality assurance analysts if necessary

● Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

● Bachelor’s degree from an accredited university or college in computer science.

● 0-2 years of experience as a data analyst or in a related field.

● Ability to work with stakeholders to assess potential risks.

● Ability to analyze existing tools , databases and REST APIs and provide software solution recommendations.

● Ability to translate business requirements into non-technical, lay terms.

● High-level experience in methodologies and processes for managing large-scale databases.

● Demonstrated experience in handling large data sets and relational databases.

● Understanding of addressing and metadata standards.

● High-level written and verbal communication skills.

Original posting on Intangles's site ↗

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