Data Analyst Hemel Hempstead, England
Job description
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 Data Analyst to join our Logistics team!
What’s our story?
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.
The UK is a huge market that we’re quickly expanding into , and as a hard-working, fast-moving business, we anticipate some serious growth this year. In fact, growth is what we’re focused on. Across the UK, we’ve seen rapidly changing customer and merchant behaviour, with consumers driving the demand for out-of-home delivery options; making it a real focus for investors.
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. 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.
We’re not looking for just anyone to join us. We’re looking for people who aren’t afraid to bring ideas to the table, grow with us and fit into a fast-paced team. We’re looking for problem solvers, people with drive and natural curiosity – who want to do things differently. And do them brilliantly.
About the role:
As a Data Analyst (internally known as our Network Analytics Manager) at InPost UK, you will play a pivotal role in our mission to simplify and revolutionise the way people in the UK send and receive their parcels. You will be responsible for improving the utilisation and availability of our automated parcel lockers (APMs) through the application of statistical analysis to generate actionable recommendations that ultimately mean more customers are able to use our lockers when, and where they want. You will have strong mathematical acumen and experience with conventional analytical tools and programming languages.
You will be part of a broader, high-performing analytics team, and have the opportunity to work on a range of other challenges as well and to make a significant impact on our growth trajectory while working in a collaborative and entrepreneurial environment. If you thrive on challenges, are passionate about leveraging data for business success, and want to be part of a high-growth scale-up, we want to hear from you!
What you’ll be doing:
- Data Analysis: Dive deep into our vast dataset of courier and customer usage data to uncover opportunities to improve efficiency. Utilize statistical techniques and data visualization tools to identify trends, patterns, and anomalies to produce actionable recommendations for implementation or to influence decision-making.
- Predictive Modelling: Build predictive models to forecast future locker usage, allowing us to proactively allocate resources and address potential issues before they arise.
- Performance Metrics: Develop and maintain key performance indicators (KPIs) that track the utilization and availability of our parcel lockers. Obsessively monitor these metrics to identify areas for improvement.
- Develop UK subject matter expertise: Seize a unique opportunity to collaborate with InPost Group to absorb industry-leading best practice, assimilate knowledge, and adapt it to the unique context of UK Operations, ultimately building local expertise in the field.
- Continuous Improvement: Stay up-to-date with industry best practices and emerging trends in data analysis and utilization optimization. Proactively and continuously identify opportunities to enhance our data analysis processes.
What we need from you:
Someone who has a “gets it done” attitude, with a high degree of ownership, ability to solve problems in a structured way, rising to challenges in a fast-paced environment with a growth mindset. You will have a strong desire to exceed expectations and continuously push us to be better.
In addition to this;
- Bachelor's degree in a relevant field (e.g., Maths, Data Science, Statistics, Business Analytics).
- Strong proficiency in data analysis languages such as Python, R, SQL.
- Experience with data visualization tools like Tableau, Power BI, Looker.
- Solid understanding of statistical analysis and predictive modelling techniques.
- Excellent communication skills with the ability to present complex findings in a clear and understandable manner.
- Strong problem-solving skills and a keen attention to detail.
- A passion for using data to drive business improvements.
Perks of the job!:
We love to reward our people for the great work they do:
- Competitive salary plus the ability to earn OTE bonus
- 26 days holiday + 1 volunteering day
- Hybrid working + home office set up scheme
- Amazing offices in Soho and Hemel Hempstead
- Work from anywhere scheme (up to 4 weeks per year)
- Dog friendly offices (each Friday)
- Rail discount schemes
- Private health insurance
- Enhanced paternity and maternity leave
- Flexi-benefits platform new for 2023
- Opportunity to work in one of the fastest growing logistics technology businesses in Europe (you can read more on our recent results here https://lnkd.in/d_cqN-R6
- Ability to grow and progress with the business
- Opportunity to work across our European business (InPost is in 9 European geographies)
- Genuine opportunity to influence and be part of the growth of the UK business
- No hierarchy, results oriented business
The InPost process:
We pride ourselves on our candidate experience. We want to make this as straightforward as possible, for you and for us! We will try our best to get back to you within a few days to let you know if we’d like to take you to the first stage. This normally involves a 20 minute chat with our Talent Acquisition Specialist. If we both feel the connection, you’ll then go through another one or two stages, depending on the level of the role.
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.
