Job Summary:

The Data Analyst Analytics and reporting will be responsible for driving high-quality data analysis, dashboard development, and KPI tracking to support strategic decision-making across LKQ Europe. The role requires strong domain understanding (automotive aftermarket, retail, B2B) combined with expertise in data analysis, reporting, and structured problem-solving. The individual will translate business requirements into scalable analytical solutions and dashboards, while ensuring alignment with Market Intelligence objectives.

Key Responsibilities

1. Domain-Driven Data Analysis

- Apply strong understanding of:
- Automotive aftermarket / Retail / B2B business models
- Category management concepts

- Analyze data in the context of:

- Product categories
- Supplier performance
- Customer segments

- Generate insights aligned to market, customer, and category strategies

2. KPI Definition & Performance Tracking

- Work with stakeholders to define and standardize:
- Financial KPIs (Revenue, Margin, Growth, Contribution)
- Operational KPIs (Availability, Fill Rate, Lead Time, Inventory)

- Build frameworks to track and monitor KPIs across regions and categories
- Ensure consistency and accuracy in KPI definitions and reporting

3. Requirement Gathering & Solution Design

- Follow a structured approach to gather requirements, including:
- Stakeholder discussions
- KPI alignment
- Use-case definition

- Translate requirements into:

- Data models
- Dashboard specifications
- Reporting structures

- Validate outputs with stakeholders to ensure business relevance

4. Dashboard & Reporting Development

- Design and develop interactive dashboards and reports for business users
- Ensure dashboards are:
- Intuitive and business-friendly
- Insight-driven and actionable





- Automate recurring reporting processes where possible
- Maintain and enhance existing reporting frameworks

5. Data Analysis & Problem Solving

- Perform detailed analysis using:
- Excel
- SQL
- Python

- Identify trends, outliers, and key business drivers
- Support ad-hoc analysis and deep dives for strategic initiatives
- Ensure data integrity and consistency across analyses

6. Data & Technology Enablement

- Work with contemporary data platforms (preferred: Microsoft Fabric)
- Collaborate with data engineering teams for:
- Data availability
- Data quality improvements

Support scalable analytical solutions aligned with enterprise architecture

Education:

- Bachelors/Master’s in:
- Business, Engineering, Economics, or Data/Analytics-related fields
- 3+ years of experience in Data Analytics / Reporting / Business Analytics roles
- Experience in automotive, retail, or B2B industries preferred

Experience:

- 3-6 years of experience with data related activities from complex international environment.
- Experienced in any BI tool (Power BI/Tableau/ Qliksence/ Qlikview/Cognos)
- Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis.
- Proven experience in data analysis, with a strong understanding of data wrangling, cleaning, and transformation.
- Ability to effectively communicate with various multinational and cross-functional teams.
- Self-starter and result oriented, with fluent English (both verbal and written) and advanced Excel knowledge.
- Ability to work and prioritize in a fast-paced environment, to initiate solutions and work independently with minimal supervision.
- Stay abreast of reporting technologies and how they can be applied in changing LKQ environment.
- Strong knowledge in Machine Learning tools.

📌 Data Analyst (Bengaluru)
🏢 LKQ India
📍 Bengaluru