Available to hire
Hi, I’m Omer Arshad, an analytics-focused data analyst with 3+ years of experience in automating data pipelines, modeling data (Star & Snowflake), and building BI dashboards. I deliver reliable reporting and actionable insights using SQL, Python, and AWS analytics tools.
I enjoy turning complex data into clear business outcomes, collaborating with cross-functional teams to migrate reporting platforms, optimize queries, and implement data governance, always focused on turning data into business value.
Skills
Work Experience
Business Intelligence Analyst at Incuda GmbH
March 1, 2024 - PresentDesigned and deployed a Python-based market intelligence pipeline scraping data from 100+ German e-commerce brands, reducing manual research and expanding market coverage by 50%. Automated SQL-based data pipelines and optimized queries, cutting data extraction time by 30% and improving reporting reliability. Built Star and Snowflake data models in Exasol and AWS Redshift to support scalable BI. Implemented data governance standards including naming conventions, validation, and access control to ensure data integrity and compliance.
Business Intelligence Analyst Intern at Infineon Technologies
October 1, 2023 - March 1, 2024Led migration of the EU Core Vendor Selection Funnel from Excel-based reporting to Amazon QuickSight, enabling data accessibility and scalable, self-service analytics across multiple teams. Designed and maintained interactive QuickSight dashboards for vendor performance and funnel monitoring. Optimized complex SQL queries powering BI reports, reducing dashboard load times by 20% and improving reporting performance. Developed automated analytical workflows using Python and SQL, integrating large datasets into AWS Redshift for reliable stakeholder insights.
Data Analyst - Thesis Student at Incuda GmbH
March 1, 2023 - September 1, 2023Developed and evaluated predictive models in Python (Logistic Regression, Random Forest, SVM) using historical opportunity data to estimate win likelihood and support sales decisions. Performed data preprocessing, feature engineering, and model evaluation to select the most effective approach. Deployed the selected model as a cloud-based service on AWS, reducing manual analysis effort and improving decision turnaround time by 25%. Presented analytical findings to non-technical stakeholders, supporting data-driven prioritization and decision-making. Collaborated with business stakeholders to translate analytical results into actionable insights, contributing to a 10% improvement in process efficiency.
Business Intelligence Analyst - Working Student at Incuda GmbH
January 1, 2022 - March 1, 2023Automated data extraction and reporting workflows using SQL and DBVisualizer, improving data accuracy by 10% and reducing manual reporting effort. Supported marketing and business teams by streamlining recurring reporting tasks, reducing repetitive work, and improving operational efficiency. Built and maintained Power BI and Yellowfin dashboards, increasing real-time data visibility and improving reporting turnaround time by 30%. Assisted senior analysts in maintaining and validating BI datasets to ensure consistency and reliability of reporting.
Associate Data Engineer at VEON - Jazz
August 1, 2020 - September 1, 2021Translated business and departmental requirements into SQL-based data extractions from Teradata, supporting ad-hoc and recurring analytical requests across multiple teams. Automated KPI reporting by writing and optimizing SQL scripts and scheduling reports in MicroStrategy, reducing manual reporting effort and improving data availability for management. Built and maintained interactive dashboards in Tableau and MicroStrategy to monitor key performance indicators for the Digital Financial Services (JazzCash) and B2B domain. Supported executive-level reporting by delivering standardized KPI dashboards used by senior management to track business performance.
Education
M.S. in Data Engineering and Analytics at Technical University of Munich
October 1, 2021 - March 1, 2024B.S. in Computer Science at Lahore University of Management Sciences (LUMS)
May 1, 2016 - July 1, 2020Qualifications
Skills
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