Job Title: Data Analyst - SAP & Business Intelligence

Employment Type: Full-time

About the Role

We are seeking a talented Data Analyst with a strong foundation in SAP environments and advanced analytics capabilities. The ideal candidate will transform complex data from multiple sources into actionable insights, build compelling visualizations, and support data-driven decision-making across our retail and e-commerce operations.

Key Responsibilities

Data Analysis & Statistical Modeling

Conduct in-depth data analysis to identify trends, patterns, and business opportunities
Apply statistical methods and techniques to solve complex business problems
Develop predictive models and forecasting solutions
Perform data quality assessments and implement data validation processes

Reporting & Visualization

Design and develop advanced reports using Crystal Reports and SAP tools
Create interactive dashboards and visualizations using Microsoft Power BI or Tableau
Build automated reporting solutions that deliver timely insights to stakeholders
Transform raw data into clear, compelling visual narratives

Data Integration & Management

Extract, transform, and analyze data from SAP Business One
Work with Mira and Salla platform databases to generate comprehensive sales and operational reports
Integrate data from multiple sources to create unified analytical views
Ensure data accuracy, consistency, and integrity across reporting systems

Programming & Technical Development

Write and optimize SQL queries for data extraction and analysis
Develop analytical scripts and automation using Python (Pandas, NumPy, Seaborn, Matplotlib)
Utilize R for statistical analysis and data manipulation
Build reusable data pipelines and analytical frameworks

Business Partnership

Collaborate with business teams to understand requirements and translate them into analytical solutions
Present findings and recommendations to technical and non-technical stakeholders
Identify opportunities for process improvement through data insights
Support strategic planning with data-backed analysis

Required Qualifications

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
Minimum 3 years of experience in SAP Business One
Solid knowledge of statistical concepts and analytical methodologies
Proficiency in SQL for data querying and manipulation
Hands-on experience with Python (Pandas, NumPy, Seaborn, Matplotlib) or R for data analysis
Strong experience with Microsoft Power BI or Tableau for dashboard development
Strong understanding of ERP concepts and business processes (finance, inventory, sales, purchasing)
Understanding of SAP Business One data structures and reporting capabilities

Preferred Qualifications

Experience with Mira and Salla e-commerce platforms, including their database structures and reporting
Background in retail or e-commerce analytics
Knowledge of data warehousing concepts and ETL processes
Experience with advanced statistical modeling and machine learning fundamentals
Familiarity with DAX and Power Query in Power BI
SAP Business One or BusinessObjects certification

Technical Skills Summary

Category

Tools & Technologies

BI & Visualization

Power BI, Tableau, SAP BusinessObjects, Crystal Reports

Programming

Python (Pandas, NumPy, Seaborn, Matplotlib), R, SQL

Databases

SQL Server, SAP HANA, Mira, Salla

Statistics

Descriptive & inferential statistics, regression analysis, forecasting

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