At a Glance
- Tasks: Transform complex data into actionable insights and drive sales efficiency across EMEA.
- Company: Join Avalara, a billion-dollar tech company redefining tax compliance.
- Benefits: Enjoy competitive pay, health benefits, and a supportive work culture.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact with AI-driven analytics in a dynamic environment.
- Qualifications: 7-10 years in sales analytics or business intelligence, with strong data skills.
The predicted salary is between 56700 - 69300 £ per year.
What You’ll Do
What You’ll Do Avalara is seeking a business‑savvy, action‑oriented analytics leader to join the Global Analytics and Insights team as Data and Analytics Engineer.
The Data and Analytics Engineer. is a hands‑on, highly analytical who partners with EMEA GTM leadership, Finance, and the global Business Analytics function to drive sales efficiency, pipeline growth, and forecasting accuracy across the region.
This role serves as the analytical backbone for EMEA GTM Operations, responsible for translating complex regional data into actionable insights, forecasts, and reporting that enable predictable, efficient revenue growth.
Aligned with Avalara's increasing focus on AI-powered decisioning, automation, and intelligent workflows, this role will help embed advanced analytics and AI into core EMEA GTM processes, driving smarter, faster, and more scalable revenue execution across the region.
The ideal candidate brings 5–7 years of experience in Saa S GTM analytics, sales analytics, or business intelligence, with strong forecasting fundamentals and hands‑on experience with modern data and GTM tooling (, Salesforce, data warehouses, BI and AI-enabled platforms).
- What Your Responsibilities Will Be
- GTM Performance Insights, BI & Self‑Service Analytics
- Localize and maintain the global KPI framework for EMEA sales performance, incorporating predictive and prescriptive metrics alongside standard reporting.
- Build and maintain leadership‑ready presentations and analytics environments that provide visibility into EMEA funnel conversion and velocity, pipeline and bookings health, and sales productivity.
- Champion self‑service analytics and data democratization within the EMEA GTM organization, equipping regional teams with intuitive, insight‑rich tools.
- Analyze EMEA quota attainment and productivity trends, providing recommendations for resource optimization and coverage adjustments to regional leadership.
- Sales Analytics, Forecasting & AI‑Driven Insights
- Own regional forecasting analytics, building and maintaining models to predict bookings, renewals, churn, and expansion across EMEA segments and markets.
- Continuously improve forecasting precision through automation and incorporation of regional behavioral and market signals, in partnership with the global analytics team.
- Support end-to-end funnel analytics for EMEA, from pipeline creation through closed‑won and retention, identifying regional conversion drivers and leakage risks.
- Maintain frameworks to measure EMEA pipeline health, velocity, and quality, leveraging AI‑driven scoring (, deal likelihood, pipeline risk, next‑best‑action signals) developed by the global team.
- Analyze regional sales cycle dynamics, deal progression patterns, and win/loss drivers to surface actionable trends for EMEA leadership.
- Partner with EMEA Sales, Marketing, and Customer Success to translate insights into regional GTM plays, prioritization models, and workflow automation.
- Ensure EMEA reporting aligns with global funnel metric definitions and governance standards while capturing region‑specific nuances (currency, local compliance, market maturity).
- What You'll Need to be Successful
- 7–10+ years of experience in Sales Analytics, Data Science, or Business Intelligence in a high‑growth Saa S environment, ideally with regional or multi‑market exposure.
- Experience applying AI/ML techniques or working with AI‑enabled tools to support forecasting, customer analytics, or GTM optimization.
- Strong proficiency in analytics and data tools (, SQL, Python/R, BI tools such as Tableau, Looker, or Power BI).
- Familiarity with modern data stack architectures (data warehouses, ETL pipelines) and AI‑enabled platforms.
- Strong understanding of Saa S metrics (ARR, NRR, CAC, LTV, pipeline coverage, etc.) and how regional dynamics (currency, market maturity, local compliance) affect them.
- Experience managing or mentoring analysts and partnering closely with regional sales and CS leadership.
- Exceptional ability to translate complex data into clear, actionable insights for regional leadership audiences.
- How We’ll Take Care of You
- Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
- Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
- Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture.
We also have a total of 8 employee‑run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We’re defining the relationship between tax and tech.
We’ve already built an industry‑leading cloud compliance platform, processing over 54 billion customer API calls and over million tax returns a year.
Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear.
It captures our quirky spirit and optimistic mindset.
It shows off the culture we’ve designed, that empowers our people to win.
We’ve been different from day one.
Join us, and your career will be too.
We’re An Equal Opportunity Employer
We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it.
All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law.
- If you require any reasonable adjustments during the recruitment process, please let us
- #J-18808-Ljbffr
Data And Analytics Engineer employer: avalara
Avalara is an exceptional employer that fosters a vibrant and inclusive work culture, where diversity, equity, and inclusion are at the forefront of our values. As a Sales Development Representative in a fast-paced environment, you will have access to comprehensive health and wellness benefits, generous paid time off, and opportunities for professional growth through collaboration with experienced teams. Join us in our mission to redefine tax and tech, and be part of a company that empowers its employees to thrive and innovate.
StudySmarter Expert Advice🤫
We think this is how you could land Data And Analytics Engineer
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We think you need these skills to ace Data And Analytics Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at avalara, 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 avalara. 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 avalara
✨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 avalara!
✨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.
