At a Glance
- Tasks: Design and execute economic impact studies using big data to measure Google's contributions.
- Company: Join the Google Economics Team, shaping insights for a global tech leader.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Make a real impact by analysing economic trends and influencing decision-making.
- Qualifications: Master's or PhD in relevant fields with experience in empirical analysis and econometrics.
- Other info: Dynamic environment with a commitment to diversity and equal opportunity.
The predicted salary is between 36000 - 60000 £ per year.
Minimum qualifications:
- Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance or a related field, or equivalent practical experience.
- 4 years of experience with empirical analysis to solve product, business, or policy problems, with econometric or advanced statistical modeling.
- Experience in big data analysis including statistical or econometric software (e.g., R, Python, Stata) and data query language (e.g., SQL) to manage datasets.
- Experience in macroeconomics and macroeconomic modeling.
Preferred qualifications:
- PhD in Economics, Statistics, Data Science, Public Policy, Business Finance or a related field, or equivalent practical experience.
- 6 years of experience with empirical analysis including investigating questions of economic impact measurement within the context of technology companies or digital platforms.
- Experience with energy-related topics.
- Experience in causal inference methodologies and quasi-experimental designs.
About the job:
The Google Economics Team provides economic insights and tools to inform strategy and decision‐making across Alphabet, and it engages externally on some policy questions of the moment. The team's Macroeconomics and Economic Impact Reporting area decodes the macroeconomic environment in which Google operates and evaluates the economic and societal impacts of the businesses and investments globally. In this role, you will be dedicated to designing and executing economic impact studies that leverage big data to quantify and communicate Google's contributions to the economy and society. You will be instrumental in combining advanced econometrics and statistical modeling with datasets to produce insights. You will also have the opportunity to support the team's investigative work, including on macroeconomic monitoring and topical issues.
Responsibilities:
- Design and implement economic impact studies, employing economic methodologies to measure Google's economic impact across regional and global economies.
- Apply proficiency in data manipulation, cleaning, and transformation of unstructured datasets. Ensure data quality and integrity throughout the modeling process.
- Contribute to the monitoring of the macroeconomic environment and deliver analysis on key topics, such as energy‐related issues.
- Translate technical findings into compelling reports, publications and presentations for audiences, including executives, policymakers, external economists and the general public.
- Conduct advanced quantitative analysis using advanced econometrics techniques and statistical models. Use investigative tools and platforms to process, model and measure the economic impact of Google's activities, programs and products across various sectors.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Senior Economist, Economic Impact Estimation in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Economist, Economic Impact Estimation in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to economic impact estimation. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of your past projects, especially those involving big data analysis and econometric modelling. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Economist, Economic Impact Estimation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with empirical analysis and big data. We want to see how you've used econometric or statistical software like R, Python, or SQL in your previous roles. Don't hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for the Senior Economist role. Mention specific projects or experiences that relate to economic impact measurement, especially in tech or energy sectors. This will help us see how you fit into our team.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your methodologies and findings. We appreciate well-structured reports and presentations, so let that shine through in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your econometrics and statistical modelling skills. Be ready to discuss specific methodologies you've used in past projects, especially those related to economic impact measurement. This will show that you not only have the qualifications but also practical experience.
✨Data is Key
Familiarise yourself with the big data tools mentioned in the job description, like R, Python, Stata, and SQL. Prepare to talk about how you've used these tools to manage datasets and conduct analyses. Maybe even bring a case study or example of your work to illustrate your expertise.
✨Stay Current
Keep an eye on current macroeconomic trends and energy-related topics. Being able to discuss recent developments in these areas will demonstrate your engagement with the field and your ability to apply this knowledge to Google's context.
✨Communicate Clearly
Practice translating complex technical findings into simple, compelling narratives. You might be asked to explain your analysis to non-experts, so being able to communicate effectively is crucial. Consider preparing a mock presentation to refine your delivery.