At a Glance
- Tasks: Pitch and demo our API solutions, guiding customers to success with tailored support.
- Company: Join Statista, the leading global business data platform with a diverse and inclusive culture.
- Benefits: Enjoy competitive salary, flexible work, and professional development opportunities.
- Other info: Be part of a dynamic team with excellent career growth and international collaboration.
- Why this job: Make a real impact by helping customers succeed with cutting-edge data solutions.
- Qualifications: Experience in API solutions, strong presentation skills, and a passion for customer engagement.
The predicted salary is between 63000 - 77000 £ per year.
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
We are a fast-growing data-as-a-service provider helping businesses access high-quality business data via a robust REST API. Our platform is trusted by many leading companies in their field to power intelligent decisions, automation, and AI applications. We are now expanding our sales team with a technically skilled API Consultant to help customers succeed from day one.
Your Role
As an API Consultant, you will be responsible for ensuring customers achieve rapid and sustained success with our API and MCP solution - and just as importantly, for making them excited about it. You will be the face of Statista Connect in front of customers: pitching the solution, building and demoing custom agents live, and turning technical capability into a compelling story that wins hearts and budgets. You'll guide customers from initial setup to advanced use cases, drive adoption by crafting tailored prompts and agents, and help them seamlessly integrate our API solution into their workflows. This is a hybrid role where technical expertise meets showmanship.
Key responsibilities
- Pitching & Demoing: Deliver compelling pitches and live demos of Statista Connect to prospects and customers, from analysts to C-level. Independently build and iterate on demo agents, prompts, and workflows tailored to each customer's use case.
- Customer Adoption & Enablement: Guide customers from initial setup to advanced use cases with tailored prompts, agents, onboarding flows, documentation, and tutorials.
- Data-Driven Engagement: Use product usage data, API analytics, and customer health scores to spot adoption blockers and expansion opportunities.
- Integration Success: Ensure smooth API integrations, resolve blockers quickly, document best practices, and collaborate with engineering on technical challenges.
- Commercial Support: Identify upsell and expansion opportunities and support sales teams with demos and technical storytelling.
- Feedback Loop: Share insights from pitches, demos and usage data with product and engineering.
What We're Looking For
- A Genuine Love of Pitching: Presenting energizes you rather than drains you.
- Builder & Storyteller: You prototype agents, workflows, and prompts yourself, hands-on.
- API & Integration Experience: Background with API solutions, data integrations, or developer tools.
- Customer-Facing Technical Experience: Prior role as Sales Engineer, Solutions Engineer, Developer Advocate, Technical Consultant, or pre-sales-oriented CS.
- Analytical & Communicative: Comfortable using product data and health scores to drive decisions.
- Problem-Solver: Quick to identify and resolve adoption blockers.
Why Join Us?
- Impactful Role: Play a key role in customer success and product adoption.
- Innovative API Solution: Work with a cutting‑edge API / MCP solution.
- Collaborative Team: Be part of a passionate, fast‑moving team.
- Growth Opportunities: Shape the customer journey and influence product strategy.
- Competitive Benefits: Enjoy a competitive salary, flexible work arrangements, and opportunities for professional development.
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work!
- Work from abroad up to 30 calendar days a year
- Hybrid work and flex-time
- International team and social events
- Subsidized urban mobility and access to fitness and wellness options
- Free access to Langdock and all its amazing functionalities
- Career & training opportunities
- Attractive locations and modern offices
- Mental health support with OpenUp
API Consultant employer: Statista-Ltd.
At Statista, we pride ourselves on being a dynamic and inclusive employer that champions diversity and innovation. As an API Consultant, you'll thrive in a collaborative environment where your contributions directly impact customer success and product adoption, all while enjoying competitive benefits and flexible work arrangements. With opportunities for professional growth and the chance to work with cutting-edge technology, Statista is the perfect place for those looking to make a meaningful impact in the data industry.
StudySmarter Expert Advice🤫
We think this is how you could land API Consultant
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We think you need these skills to ace API Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Statista-Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Statista-Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Statista-Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Statista-Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
