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: verbal and written

It would be awesome if you have:

• 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)