Data Analyst

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

We are looking for a skilled and detail-oriented Data Analyst to join our team. This role is ideal for someone who is experienced in working with relational databases, SAP, and non-SAP systems, and can translate complex data into actionable business insights. You will collaborate across departments to support data-driven decision-making, reporting, and process improvement.

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.