Kiran Kannur
Stuttgart
Summary
Data Analyst and Business Analyst with 6+ years of experience translating complex data into clear, decision-ready insights across automotive, finance, and luxury retail domains. Proven expertise in Power BI, SQL, Python, Excel, and cloud analytics to deliver executive dashboards, automate reporting pipelines, and support strategic planning.
Known for partnering closely with stakeholders to understand real business needs, define the right KPIs, and communicate insights through data storytelling. Experienced in financial controlling, sales forecasting, operations analytics, and performance reporting, with hands-on exposure to Azure Databricks, SAP, and large-scale datasets. Thrive in fast-paced, cross-functional environments where analytics directly influences business outcomes.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Sales Controller and Business Planner
A. Lange und Söhne | Lange Uhren GmbH
Glashütte
06.2025 - 12.2025
- Delivered monthly global sales performance reports for five international regions and 56 boutiques to stakeholders.
- Built Power BI dashboards integrating sales, stock, and boutique KPIs, reducing manual reporting effort by 80%.
- Developed mid-term sales forecasts and scenario models, enabling identification of performance gaps and strategy adjustments.
- Designed and automated a Python-based data pipeline for extracting daily boutique sales data, achieving 98% reduction in manual preparation.
- Served as primary contact for sales analytics inquiries from global stakeholders and regional sales teams.
- Supported SAP service and reporting initiatives to ensure data consistency across systems.
Data Analyst – Werkstudent
Mercedes-Benz AG
Sindelfingen
09.2024 - 03.2025
- Delivered financial and operational dashboards for Central Controlling (Mercedes-Benz Cars Operations), supporting monthly processes.
- Designed and optimized Power BI data models and DAX measures, improving report accuracy and performance.
- Cleaned, transformed, and validated large datasets (100k+ rows) using Power Query and Excel, ensuring data accuracy.
- Translated business requirements from controllers into KPIs and visuals, improving decision turnaround time by ~25%.
- Rebuilt and localized dashboards for international teams (German ↔ English), improving accessibility and adoption.
- Proposed innovative visualization concepts to improve clarity and enhance report readability for executives.
Big Data Analyst – Werkstudent
Bosch Engineering GmbH
Abstatt
06.2023 - 06.2024
- Created Dashbaords for more 5+ on going projects to analyze project, requirement, and test data from various enterprise tools (DOORS, Jira, RQM, Jenkins) to track Projects status
- Built multi-level dashboards enabling stakeholders to monitor project health, risks, and bottlenecks, reducing status meetings by ~20%
- Automated reporting workflows so users could select hierarchy levels and receive tailored reports via email, reducing 95% manual coordination
- Developed a Random Forest model to predict work-item lead times, improving planning accuracy and risk visibility
- Optimized existing KPIs and visualizations, reducing dashboard creation time by ~35%
- Designed and deployed standardized metrics for Driver Assistance and Active Safety projects, ensuring uniform reporting across teams
Student Research Assistant in Data Science (HiWi)
RPTU
Kaiserslautern
05.2022 - 08.2023
- Used Gem5 simulator with Python to model ILP saturation of X86 and ARM architectures.
- Created visualizations and dashboards.
Data Analyst
Continental Automotive Components Pvt. Ltd.
Bangalore
07.2018 - 08.2021
- Analyzed ECU time-series data to identify anomalies and predict component failures, supporting proactive maintenance strategies
- Built Power BI dashboards for Charging and Battery Management System analytics, improving visibility into vehicle performance
- Developed end-to-end data pipelines for ingestion, cleaning, and analysis using Python.
- Applied deep learning (LSTM) techniques for outlier detection in sensor data, reducing false alarms
- Collaborated with cross-functional analytics teams in agile environments, contributing to PI planning and data-driven decisions
- Developed and deployed machine learning models to improve operational efficiency and reduce costs. Built end-to-end pipelines for data ingestion, cleaning, and analysis. Created interactive data visualizations to communicate insights to stakeholders.
Education
Master’s Degree - Data Science and Machine Learning
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Kaiserslautern, Germany2025
Nanodegree - Programming for Data Science
Udacity
07.2023
Bachelor’s Degree - Electonics and Communication Engineering
Shri Dharmasthala Manjunatheshwara College of Engineering and Technology (SDMCET)
Karnataka, India06.2018
Skills
- Power BI (DAX, Data Modeling)
- Excel (Advanced, Power Query, Pivot Tables)
- Python (Pandas, NumPy)
- SQL
- KPI Design
- Tableau
- SAP
- Data Storytelling
- Data Visualization
- Reporting Automation
- ETL / ELT
- Azure Databricks
- Splunk
- Git
Certification
- Programming for Data Science, Udacity
- Data Analytics using Microsoft Power BI, TCR Innovation
- Data Science with Machine Learning and Python, TCR Innovation
- Python Project for Data Science, Coursera IBM
- AI and Development, Coursera IBM
- Introduction to RDBMS, Coursera IBM
Languages
English
Advanced
C1
German
Intermediate
B1
Projects
Analysis of customer behavior and sales trends in a video rental business, Optimize inventory management, improve customer engagement, and enhance revenue generation., Sakila DVD Rental Database Analysis and prediction of US Bikeshare Data, Usage patterns, customer preferences and operational bottlenecks to enhance service efficiency, user efficiency, and overall business performance., Motivate
Websites, Portfolios and Profiles
- www.linkedin.com/in/kirankannur
- https://kirank8.github.io/KiranKannurPortfolio/
Accomplishments
IEEE Publications
- Analysis of Steganography for hiding Miscellaneous Data using Daubechies Wavelet
https://ieeexplore.ieee.org/document/8597195
- Digital LCR Meter Using Arduino
https://ieeexplore.ieee.org/document/8282577
Timeline
Sales Controller and Business Planner
A. Lange und Söhne | Lange Uhren GmbH
06.2025 - 12.2025
Data Analyst – Werkstudent
Mercedes-Benz AG
09.2024 - 03.2025
Big Data Analyst – Werkstudent
Bosch Engineering GmbH
06.2023 - 06.2024
Student Research Assistant in Data Science (HiWi)
RPTU
05.2022 - 08.2023
Data Analyst
Continental Automotive Components Pvt. Ltd.
07.2018 - 08.2021
Master’s Degree - Data Science and Machine Learning
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Nanodegree - Programming for Data Science
Udacity
Bachelor’s Degree - Electonics and Communication Engineering
Shri Dharmasthala Manjunatheshwara College of Engineering and Technology (SDMCET)