Data Analyst

3 - 6 years

3 - 6 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Analyst

Roles & Responsibilities:

  • Manage master data, including its creation, updates, and deletion.
  • Manage users and user roles within data systems.
  • Provide

    quality assurance of imported data

    , collaborating with quality assurance analysts if necessary.
  • Oversee the commissioning and decommissioning of data sets.
  • Process

    confidential data and information

    strictly according to established guidelines.
  • Assist in developing various reports and analyses to support business needs.
  • Manage and design the reporting environment, including defining data sources, security protocols, and metadata.
  • Support the data warehouse team in identifying and revising reporting requirements.
  • Support initiatives focused on

    data integrity and normalization

    .
  • Assess tests and implement new or upgraded software, assisting with strategic decisions on new systems.
  • Generate reports from single or multiple systems.
  • Troubleshoot issues within the reporting database environment and reports.
  • Evaluate changes and updates to source production systems.
  • Train end-users on new reports and dashboards.
  • Provide

    technical expertise in data storage structures, data mining, and data cleansing

    .

Skills Required:

  • Strong analytical and problem-solving skills.
  • Proficiency in managing and maintaining master data.
  • Experience with data quality assurance processes.
  • Ability to handle confidential data with discretion.
  • Experience in developing reports and conducting data analysis.
  • Knowledge of designing and managing reporting environments, including data sources, security, and metadata.
  • Understanding of data warehousing concepts and reporting requirements.
  • Familiarity with data integrity and normalization principles.
  • Technical expertise in data storage structures, data mining, and data cleansing.
  • Excellent communication skills for training end-users and collaborating with teams.
  • Detail-oriented with a focus on data accuracy.

QUALIFICATION:

  • Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

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