数据分析顾问（m/f/n）
Data Analytics Consultant (m/f/n)
InPost Group 是一家创新的欧洲户外配送公司，正在重新定义包裹配送方式。我们在多个国家开展业务，通过智能快递柜（Paczkomat®）网络为客户提供快速、便捷和安全的配送选择。我们的使命是为商家和消费者提供一流的用户体验。“简化一切”——重新定义电子商务物流。我们通过持续的技术研究和对客户的细致关注来推动市场创新。
数据与人工智能部门正在寻找数据分析师顾问加入我们的团队。在这一职位中，您将负责分析来自不同系统的大量实时数据，包括活动数据、产品和客户分析、销售表现、物流流程等与 InPost Group 产品相关的主题。
您在日常工作中会接触到的技术：Apache Spark 在 Databricks 上，Python/PySpark，SQL，Kafka，Power BI，GitLab。
为什么这个职位一直开放？
因为我们的增长从未放缓！🚀 这是一个由多个团队活跃职位支持的持续招聘过程。随着我们的产品和业务不断扩展，我们一直在寻找希望与我们共同成长的优秀人才。
日常工作中您将：
· 密切支持利益相关者进行数据驱动的决策。
· 与不同的 InPost 部门和业务线合作。
· 收集需求，从各种来源获取大规模的实时数据，进行分析，并准备关于业务关键领域和流程的洞察和建议。
· 设计、开发和扩展支持优化和可扩展计算及可视化成功分析结果的数据模型层。
· 编写符合我们内部风格、可维护性和高规模数据环境最佳实践标准的代码。通过代码审查维护并倡导这些标准。
· 与包括数据工程师、数据科学家和业务分析师在内的跨职能团队合作，交付集成的数据解决方案。
· 原型设计和协调数据可视化。
您需要具备哪些技能：
· 至少 3 年在分析岗位的工作经验，处理大量数据（优先考虑营销、物流、客户或销售等领域）。
· 具备数据建模和实施复杂数据驱动解决方案的经验是加分项。
· 精通 Python
查看英文原文
InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers (Paczkomat®) provides customers with a fast, convenient, and secure delivery option. Our mission is to provide best-in-class user experience for merchants and consumers. "Simplify everything" – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer.
The Data & AI department is seeking Data Analytics Consultants to join our Team. In this role, you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product and customer analytics, sales performance, logistics processes, and similar topics relative to InPost Group products.
Technologies, you will encounter in your daily work: Apache Spark in Databricks, Python\PySpark, SQL, Kafka, Power BI, GitLab.
Why is this role always open?
Because our growth doesn't slow down! 🚀 This is an ongoing recruitment process supported by multiple active openings across our teams. As our products and business continue to scale, we're constantly looking for talented people who want to grow with us.
On a daily basis you will:
· Closely support stakeholders in making data-driven decisions.
· Work with different InPost departments and business lines.
· Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.
· Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.
· Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code reviews.
· Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
· Prototype and coordinate data visualizations.
Which skills should you bring to the pitch:
· Min 3 years of experience in an analytical role handling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales).
· Experience in data modeling and implementing complex data-driven solutions is a strong plus.
· Strong proficiency in Python/PySpark for data analysis, SQL for data processing, Bash scripting to manage Git repositories.
· Proven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely.
· Comprehensive understanding of the technical aspects of data warehousing, including dimensional data modeling and ETL/ELT processes.
· Ability to translate business needs into data models.
· Strong understanding of real-time data: ability to request and handle data from both backend and frontend systems, including internal and external platforms.
· Self-motivated and self-managing, with the ability to work independently and coordinate multiple workstreams simultaneously.
· Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
· Fluency in English: verbal and written.
It would be awesome if you have:
· Ability to read or communicate in French.
· Experience in working with Apache Spark in Databricks.
· Familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS).
· Familiarity with modern data building tools like Apache Airflow, DBT.
· Familiarity with data visualization tools such as PowerBI/Tableau/Looker.
· Knowledge of data governance principles and practices.
· Ability to thrive in a highly agile, intensely iterative environment.
We offer B2B type of contract