Data Analyst (They/She/He)

Job title:

Data Analyst (They/She/He)

Company:

Glovo

Job description

If you’re here, it’s because you’re looking for an exciting ride.A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.What makes our ride unique?🤝 Our culture and strong values.💪 Our career development philosophy.🤝 Our commitment to being a force for good.We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.YOUR MISSIONIn this role, you will be part of the Account Management Team at Glovo Headquarters, focused on growing and retaining Glovo partners. As the data analyst and owner of all AM main KPIs, you will play a pivotal role in shaping and driving the success of our partners’ post-sales journey. Your responsibilities will include overseeing, challenging, and rethinking the data, business plans, and processes of the post-sales operational landscape, ensuring they are optimized and scalable on a global level.You will contribute to understanding and improving the portfolio management, developing actionable insights and strategies to improve partner performance while ensuring seamless integration of data-driven solutions across the organization.THE JOURNEY

• Stakeholder management: Partner closely with senior sales leaders and cross functional partners to align on strategy
• Communication: find simple ways to convey insights and recommendations from sophisticated analysis results to business leaders.
• Data Analysis: Utilize advanced data analysis techniques to interpret complex datasets; Analyze and report weekly and monthly metrics to identify trends and stop opportunities for improvement.
• Business insights: Translate business questions and hypotheses into analysis and actionable insights.
• Dashboards: Develop and maintain scalable and self-service visualization tools and storytelling dashboards.
• Automation: Design and implement automation solutions to remove manual processes.
• Forecast: provide analytical and operational support to continuously improve our forecasting, pipeline management, and methodologies and processes.

WHAT YOU WILL BRING TO THE RIDE

• Bachelor in Economics, Mathematics, Statistics or Engineering preferred.
• 4 – 6 years of work experience, outside of an academic and internship setting, in a quantitative analysis role, preferably with 2 years in Sales Operations.
• Mastery in SQL and statistical programming (Python/R) and experience working with analytics/ds libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown
• In-depth knowledge of BI tools such as Looker, Tableau, and practical experience analyzing data, program metrics, and performance
• Ability to summarize and represent data (e.g., descriptive statistics and graphs).
• Ability to create robust, insightful, and story-telling visualizations using modern BI & Analytics tools and ability to identify data Issues.
• Familiarity with a collaborative environment and/or version control (GitHub, Git).
• Ability to build hypotheses and test them (sometimes by piloting projects entirely)
• Project management / coordination skills. Determined to get things done
• Understanding of A/B test principles, to design, conduct and analyze different experiments.
• You are eager to learn, hungry for knowledge, and want to work towards growing in your career from day one.
• You are independent in solving problems within your capabilities and proactive in asking for support when the task is beyond your expertise.
• You are not afraid of giving/receiving constant & honest feedback
• Excellent spoken and written English.

Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don’t meet our musts don’t let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.We believe driven talent deserves:

• 🌟 An enticing equity plan that lets you own a piece of the action.
• 💪 Top-notch private health insurance to keep you at your peak.
• 🍔 Monthly Glovo credit to satisfy your cravings!
• 💳 Cobee discounts on transportation, food, and even kindergarten expenses.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).So, ready to take the wheel and make this the ride of your life?Delve into our culture by taking a peek at our and check out our and !

Expected salary

Location

Barcelona

Job date

Sat, 21 Dec 2024 01:14:24 GMT

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