Taro Logo

Analytics Engineer

Global market leader for future-proof logistic process automation at airports, parcel market, and warehousing solutions.
Pune, Maharashtra, IndiaVeghel, Netherlands
Data
Mid-Level Software Engineer
In-Person
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS · Logistics

Job Description

Vanderlande, a global leader in logistics automation solutions, is seeking an Analytics Engineer to join their Central Data & Analytics department. This role offers an exciting opportunity to work at the intersection of data engineering and analytics, contributing to the company's data platform development and business intelligence initiatives.

The position involves working in a highly motivated, global team of Data & Analytics enthusiasts, where you'll play a crucial role in advancing the maturity of the Data Platform. You'll be responsible for creating and maintaining data products, developing pipelines using Python, PySpark, and SQL, and building dashboards with tools like Qlik and Power BI. The role operates within a cloud-based architecture following Data Mesh principles.

As an Analytics Engineer, you'll collaborate with both technical and business stakeholders to translate business needs into functional requirements and deliver end-to-end solutions. The position requires a blend of data engineering and analysis skills, working in an Agile environment with the latest cloud technologies including Azure Stack and Databricks.

The Central Data & Analytics department follows a hub & spoke model, establishing centralized standards that are implemented by decentralized teams. The department operates using the SAFe Agile framework, ensuring adaptability to evolving strategic needs. You'll be part of an innovative team that continuously improves the Data Platform while maintaining high standards of data governance and quality.

This role is perfect for someone with 3-5 years of experience who is passionate about data, has strong technical skills in Python and SQL, and can effectively communicate complex technical concepts to various stakeholders. The position offers opportunities for professional growth, exposure to cutting-edge technologies, and the chance to make a significant impact on business decision-making processes.

Last updated 2 days ago

Responsibilities For Analytics Engineer

  • Translate business needs into functional requirements
  • Design and develop data products, pipelines, and reports
  • Create and maintain data pipelines using Python, PySpark and SQL
  • Develop dashboards using Qlik or Power BI
  • Design and implement architectures for data extraction and transformation
  • Participate in CI/CD practices
  • Monitor and maintain data pipeline stability
  • Analyze, interpret, and visualize data for business process optimization
  • Perform analysis to enhance data quality and reliability

Requirements For Analytics Engineer

Python
PostgreSQL
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 3-5 years of experience as an Analytics Engineer or similar role
  • Experience with Python, PySpark, SQL, or R
  • Experience with Azure Stack and Databricks
  • Strong communication skills
  • Knowledge of DevOps practices and CI/CD
  • Familiarity with agile methodologies
  • Knowledge of Power BI or Qlik (preferred)

Related Jobs

Data Engineering Developer – Data Core

Data Engineering Developer position at 3M focusing on data platform development, optimization, and management using Snowflake, HANA, and cloud technologies.

Business Intelligence Engineer II, EMXO FBA

Senior Business Intelligence Engineer role at Amazon focusing on advanced analytics for FBA Product and Business team, requiring strong data analysis and technical skills.

Business Intelligent Engineer II, Amazon Shipping

Business Intelligence Engineer II position at Amazon Shipping, focusing on data analysis, visualization, and strategic planning to optimize global logistics operations.

Business Intelligence Engineer, Amazon Shipping

Business Intelligence Engineer role at Amazon Shipping, focusing on data analysis, visualization, and strategic planning to optimize global logistics operations.

Business Intelligent Engineer II, Amazon Shipping

Business Intelligence Engineer II position at Amazon Shipping, focusing on data analysis, visualization, and optimization of global logistics operations.