Senior Data Analytics Consultant ❗💛

As a Senior Data Analytics Consultant you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product analytics, user communication and journey, and similar topics relative to InPost Group products. 📈 This role spans across Poland and extends to 7 international markets, offering a unique opportunity to impact our global operations significantly. We offer remote work.

Technologies, you will encounter in your daily work: Apache Spark in Databricks, Python\PySpark, SQL, kafka, Power BI, GitLab, Google BigQuery.

On a daily basis you will:

👉 closely support stakeholders in making data-driven decisions

👉 work with Marketing department on loyalty program and with our new flagship products as: InPost Pay and InPost Fresh

👉 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:

✅ 4 years of experience in an analytical role handling vast volumes of data, preferably in Marketing, Product analytics and User analytics areas

✅ 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

✅ familiarity with marketing use cases and experience in product or customer analytics

✅ experience in A/B testing

✅ 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 mange multiple tasks simultenously

✅ strong interpersonal skills with the ability to collaborate effectively with cross-functional teams

✅ fluent in English AND Polish: verbal and written

It would be awesome if you had:

✔ experience in working with Apache Spark in Databricks

✔ familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS). GCP is a big plus

✔ 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

✔ positive and solution-oriented mindset

What we offer:

💥 work in an innovative technology company with an international reach, which is a leader in the logistics industry in Poland

💥 opportunities to expand your skills and acquire new competencies

💥 partnership-based collaboration, which is our greatest value

💥 cafeteria system with a selection of benefits that you can choose from (e.g., Multisport, medical care, shopping vouchers, event tickets, and much more)

💥 e-learning platform with training in the form of videos, magazines, tasks, and quizzes

referral program

💥 the opportunity to participate in employee initiatives, such as InPost InHelp volunteering, Szlachetna Paczka, or sports events (e.g., relay races)