7 - 10 years

12 - 20 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Maddisoft has the following immediate opportunity.Send in your resume ASAP along with LinkedIn profile without which applications will not be considered. All qualified Indian citizens are encouraged to apply.

Role: Data Analyst

Location: Pune, Hyderabad

relational databases

Key Responsibilities:

  • Extract, transform, and analyze data from

    relational databases

    (e.g., SQL Server, Oracle, MySQL, PostgreSQL).
  • Work with data from both

    SAP systems

    (e.g., SAP BW, SAP HANA, SAP ECC) and

    non-SAP systems

    (e.g., CRM, ERP, legacy systems).
  • Build and maintain interactive

    dashboards and reports

    using Power BI, Tableau, or similar tools.
  • Integrate data from multiple sources to provide comprehensive business insights.
  • Collaborate with stakeholders to understand reporting needs and deliver solutions accordingly.
  • Perform data quality checks, cleansing, and validation to ensure accuracy.
  • Create documentation and maintain data dictionaries for key data sources and reports.
  • Support ad hoc reporting and data requests across various departments (finance, supply chain, operations, etc.).
  • Work with IT/Data Engineering to improve data infrastructure and automate manual data processes.

Qualifications:

  • Bachelors degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
  • 9+ years of experience in data analytics, data reporting, or business intelligence roles.
  • Strong knowledge of

    SQL

    and experience working with

    relational databases

    .
  • Experience working with

    SAP data sources

    (e.g., SAP BW queries, SAP tables, SAP HANA views).
  • Exposure to

    non-SAP systems

    such as CRM, custom databases, or third-party data platforms.
  • Proficiency in data visualization tools like

    Power BI

    ,

    Tableau

    , or

    QlikView

    .
  • Advanced Excel skills and familiarity with scripting languages such as Python or R is a plus.
  • Solid understanding of data modeling, ETL processes, and reporting best practices.
  • Strong communication skills with the ability to explain technical concepts to non-technical users.

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