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- Tasks: Use data to drive decisions and unlock insights about customers and products.
- Company: Join Intercom, a leading AI Customer Service company transforming customer experiences.
- Benefits: Competitive salary, equity, flexible holidays, and comprehensive health insurance.
- Why this job: Make a real impact by shaping product strategy with data-driven insights.
- Qualifications: 5+ years in data analysis, excellent SQL skills, and experience with Python or R.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We’re a team of data scientists and product researchers who use data to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers.
Data Scientists embedded with GTM bring a blend of commercial expertise and product insight to identify and prioritize growth opportunities. Partnering closely with Sales and Solutions, they translate business problems into clear analytical workstreams, support execution of improvements, and quantify impact on key commercial metrics.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
Responsibilities:
- You’ll partner with GTM teams to help them identify important questions and answer those questions with data.
- You’ll work closely with sales and solutions leaders to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities.
- You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
- You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
- You’ll influence our GTM strategy through experimentation, exploratory analysis and quantitative research.
- You’ll build and automate actionable models and dashboards.
- You’ll craft data stories and share your findings and recommendations across R&D and the broader company.
- You’ll drive and shape core RAD foundations and help us improve how the RAD org operates.
Qualifications:
- 5+ years experience working with data to solve problems and drive evidence-based decisions.
- Excellent SQL skills and good knowledge of statistics.
- Proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.
- Excellent communication skills (technical and non-technical) and a focus on driving impact.
- Strong growth mindset and sense of ownership.
- Innate passion and curiosity.
- Experience with a scientific computing language such as R or Python.
- Experience with BI/Visualization tools like Tableau, Superset and Looker.
- Experience working with LLMs.
- Experience with data modeling and ETL pipelines.
- Experience working with product teams.
Benefits:
- Competitive salary and equity in a fast-growing start-up.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
- Regular compensation reviews – we reward great work.
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
- Open vacation policy and flexible holidays so you can take time off when you need it.
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
- MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done.
Research, Analytics & Data Science in City of Westminster employer: Intercom, Inc.
Contact Detail:
Intercom, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research, Analytics & Data Science in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the Research, Analytics & Data Science field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and any dashboards you've built. This is your chance to demonstrate how you can turn data into actionable insights, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you would approach real-world problems, similar to what you'd face at Intercom. We want to see your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to our mission of delivering incredible customer experiences.
We think you need these skills to ace Research, Analytics & Data Science in City of Westminster
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research, Analytics & Data Science role. Highlight your experience with data-driven decision-making and any relevant projects that showcase your skills in SQL, R, or Python.
Showcase Your Impact: When detailing your past experiences, focus on the tangible impact of your work. Use specific examples where your data insights led to significant improvements or growth opportunities, as this aligns perfectly with our mission at StudySmarter.
Communicate Clearly: We value excellent communication skills, so ensure your application reflects your ability to convey complex data insights in a clear and engaging manner. This will help us see how you can share findings across teams effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Intercom, Inc.
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis. Be ready to discuss specific examples where your insights led to tangible business outcomes. This will show your ability to translate data into actionable strategies, which is crucial for the role.
✨Brush Up on SQL and Statistics
Since excellent SQL skills are a must, make sure you can confidently write queries and explain your thought process. Also, be prepared to discuss statistical concepts and how you've applied them in real-world scenarios. This will demonstrate your technical prowess and analytical thinking.
✨Communicate Clearly and Effectively
Practice explaining complex data findings in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to craft a compelling data story is key. Think about how you can present your insights to influence decision-making.
✨Show Your Curiosity and Growth Mindset
During the interview, express your passion for data and your eagerness to learn. Share examples of how you've sought out new knowledge or tackled challenges in your previous roles. This aligns perfectly with the company’s values and shows that you’re a proactive problem solver.