Big Data Analyst
At InPost we hire awesome people who aren’t afraid to bring ideas to the table, to make mistakes, and challenge the norm! Apply today to be our next Big Data Analyst and grow your career with InPost.
We usually respond within three days
Want to be part of a hyper growth, fast paced, global business that is radically changing the decades old delivery universe as we know it? If so, read on, as we’re looking for a Big Data Analyst to join our team!
Our mission? To switch up the status quo and become the UK’s leading out-of-home business. With a fast-growing network of 5000+ smart lockers, 200+ leading retail partners like Vinted, ASOS, Zara and the launch of our InPost collection points, we’re bringing freedom to anyone with a parcel.
On our path to transforming e-commerce delivery in the UK, we’re building an unparalleled group of talent that’s hungry to help us disrupt the industry (find our 2023 annual report here). Our team is packed full of top-notch experts in e-commerce, technology, scale-up growth, sustainability, logistics and supply-chain. We’re a passionate bunch and expectations are high, but we’re team players – collaborating, supporting, and leaving egos at the door.
About the role:
As a Big Data Analyst, you will be at the forefront of analysing vast volumes of real-time data from diverse systems, including parcel lockers, package lifecycle, transportation, user communication 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.
What you’ll be doing:
Real-Time Data Processing: Harness large-scale, real-time data from various sources to generate actionable insights, recommendations, and reports. Your analysis will support continuous improvements in parcel delivery and customer interaction.
Cross-Functional Collaboration: Work closely with business units to understand their needs, define key performance indicators (KPIs), and establish the necessary data sources and methodologies. Partner with data providers and developers to ensure seamless integration and processing of critical data.
Analytical Process
- Data Governance and Documentation: Take charge of data governance, ensuring data integrity and consistency across the board. Your documentation will guide best practices and support data-driven decision-making processes.
- Engage with business units to identify KPIs and initiate projects.
- Determine the availability of data in our data lakehouse and identify or define necessary data structures.
- Perform iterative data analysis, including understanding, transforming, and aggregating data to establish KPIs.
- Develop recommendations for data models and collaborate on report building and data visualization.
- Lead the operationalization of data calculations and ensure comprehensive documentation and data governance.
Collaboration and Technology
- Translate business requirements into data needs, defining data models and setting standards for data providers.
- Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a wide range of competencies for project needs.
- Utilize the latest technologies, including Azure, Google Cloud, Databricks, pySpark, and Power BI, to analyse data and generate insights.
What we need from you:
We’re looking for people who are ready for a fast paced environment, get their kicks out of problem solving and can balance getting today's stuff done, whilst building for the future. We’re looking for people with drive and natural curiosity – who want to do things differently. And do them brilliantly.
- Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Statistics, etc.).
- Relevant experience in data analysis, business intelligence, or related areas, preferably with exposure to global or multi-market operations.
- Proficiency in PySpark, SQL and Python.
- Familiarity with cloud platforms (Azure, AWS, Google Cloud) and big data technologies.
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Strong ability to analyze large datasets and generate actionable insights. Good business acumen to understand company goals and KPIs.
- Knowledge of data governance principles and practices.
- Excellent communication skills, able to present complex data insights clearly.
- Team player with experience working in cross-functional teams.
- Proficiency in English is required. Additional language skills are a plus
We’d be particularly excited to hear from you if:
Perks of the job!:
We love to reward our people for the great work they do:
🌞 Enhanced Annual Leave – 26 Days Plus the Option to Buy Additional Days per year
More time for you to relax, explore, and enjoy life.
🌟 Vitality Health Care
Stay healthy and happy with our top-notch health coverage.
🌍 Work from Anywhere – 4 Weeks per year
Embrace the freedom to work remotely abroad for up to 4 weeks per year, allowing you to explore new horizons while staying connected.
👶 Enhanced Parental Leave
We support you during those precious family moments.
🚊 Rail Discount
Commute with ease! Purchase an annual season ticket, expense it through our InPost expenses procedure, and enjoy a 10% contribution from InPost, making your commute more affordable.
🌳 Volunteering Day
Take a paid day to make a difference in your community
More Perks...
🏡 Hybrid Working (Role suitability dependent)
We innovate, collaborate and optimise by coming together 2-3 days per week in the office
💼 The Tech You Need
Work from home like a pro with the right tech set up
💰 Perks at Work
Save money on life’s big and small purchases with access to local and national discounts and online classes.
🐶 Bring Your Dog to Work Day (Every Friday)
Make every Friday pawsitively amazing!
At InPost, we love uniqueness. Our strength is our people.
We strive to create an open, equal, inclusive environment in which everyone has the opportunity to flourish and be themselves.
- Department
- Technology
- Locations
- InPost London Office Great Titchfield St
- Remote status
- Hybrid Remote
- Employment type
- Full-time
Big Data Analyst
At InPost we hire awesome people who aren’t afraid to bring ideas to the table, to make mistakes, and challenge the norm! Apply today to be our next Big Data Analyst and grow your career with InPost.
Loading application form
Already working at InPost UK?
Let’s recruit together and find your next colleague.