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
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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.
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