At a Glance
- Tasks: Track and update economic data, run quality checks, and automate processes using Python.
- Company: Join Haver Analytics, a dynamic NYC-based company with a London office.
- Benefits: Enjoy competitive salary, performance bonuses, and tuition reimbursement for courses.
- Other info: Recent graduates welcome; excellent growth opportunities in a supportive team.
- Why this job: Kickstart your career in economics and make an impact in a flexible, hybrid work environment.
- Qualifications: Bachelor's degree in Economics, detail-oriented, strong computer skills, and Python knowledge.
The predicted salary is between 28000 - 29000 £ per year.
Haver Analytics, a NYC based company, has entry level positions available with our economic data group in our London office located in the City. We are seeking energetic candidates with a Bachelors degree in Economics to join our growing team of professionals. Recent university graduates are encouraged to apply. We are looking for candidates who are detail oriented and have good computer and communication skills.
Responsibilities:
- Track time-sensitive economic and financial time series from sources to update our databases.
- Run quality assurance checks.
- Organize and add new surveys.
- Learn how to automate processes and enhance data processes using Python.
Work Details:
- Hours are from 7:00 AM to 4:30 PM.
- This is a full time position.
- The position includes a starting salary range of £28K-29K.
- We work in a flexible, hybrid environment: 3 days per week in-person at our office.
- You will need a computer with good internet connectivity at home.
Eligibility:
- The right to work in the UK & Ireland.
- Haver Analytics is unable to provide sponsorship to candidates as the Home Office’s eligibility criteria will not be met.
Requirements:
- Submit cover letter and resume.
- Bachelors degree in economics that states your degree classification.
- Live within commuting distance.
- Be detail oriented and have good computer and communication skills.
- Strong foundation in Python.
- Fluency in Chinese or Arabic is a plus.
Benefits:
- Salary review and raise each 6 months for first year, annual thereafter.
- Performance-based bonus given in September each year.
- Eligible for company profit sharing after 6 months.
- Tuition reimbursement for work-related courses.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status. Haver Analytics takes affirmative action in support of its policy to employ and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.
Economic Data Assistant employer: Haver Analytics
Haver Analytics is an excellent employer for recent graduates seeking to kickstart their careers in economics. With a supportive work culture that promotes flexibility and professional growth, employees benefit from regular salary reviews, performance bonuses, and tuition reimbursement for further education. Located in the vibrant City of London, our hybrid working model allows for a balanced work-life experience while being part of a dynamic team dedicated to enhancing data processes.
StudySmarter Expert Advice🤫
We think this is how you could land Economic Data Assistant
✨Tip Number 1
Network like a pro! Reach out to your university alumni or join relevant groups on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Economic Data Assistant role.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding economic data trends. We suggest doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your attention to detail! During interviews, share examples of how you've successfully managed data or completed projects with precision. We want to see that you can handle the responsibilities of tracking time-sensitive economic data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Economic Data Assistant
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your passion for economics and how your skills align with the role. We want to see your personality, so don’t be afraid to let it show!
Tailor Your Resume:Don’t just send out the same resume for every job. Tailor it to match the Economic Data Assistant position. Highlight relevant coursework, projects, or experiences that showcase your detail-oriented nature and computer skills.
Show Off Your Python Skills:Since we’re looking for someone with a strong foundation in Python, make sure to mention any relevant projects or coursework. If you’ve automated processes before, share that experience – it’ll definitely catch our eye!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands. Plus, it shows us you’re serious about joining our team at Haver Analytics!
How to prepare for a job interview at Haver Analytics
✨Know Your Economics
Brush up on key economic concepts and current trends. Be ready to discuss how they relate to the role of an Economic Data Assistant. This shows your passion for the field and that you’re not just another candidate.
✨Show Off Your Python Skills
Since the job requires a strong foundation in Python, prepare to talk about any projects or coursework where you've used it. If possible, bring examples of how you've automated processes or enhanced data handling in the past.
✨Be Detail-Oriented
Highlight your attention to detail during the interview. You might want to share specific instances where your meticulousness made a difference, especially in data management or quality assurance tasks.
✨Communicate Clearly
Good communication skills are essential for this role. Practice explaining complex data concepts in simple terms. This will demonstrate your ability to convey information effectively, which is crucial when working with teams.
