HiredBuddy
Data Analyst

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Project Description
Hiredbuddy is seeking an entry-level Data Analyst to join our remote team. You'll assist in building and maintaining data pipelines, ensure data quality, and support analytics initiatives. Ideal for recent graduates with foundational SQL and Python skills eager to grow in a collaborative environment.
Full Description
Hiredbuddy is looking for an enthusiastic and detail-oriented Data Analyst to join our dynamic engineering team. This is a remote, entry-level position perfect for recent graduates or early-career professionals who are passionate about building robust data infrastructure. You will work closely with senior engineers, data scientists, and business analysts to support the company's data-driven initiatives. Your primary focus will be on designing, developing, and maintaining scalable data pipelines that ingest, transform, and deliver high-quality data to downstream systems.
In this role, you will gain hands-on experience with modern data analyst tools and cloud platforms. You will be responsible for writing efficient SQL queries, developing Python scripts for data processing, and orchestrating workflows using tools like Apache Airflow. You will also contribute to the maintenance of our data warehouse, ensuring data accuracy, consistency, and availability. As you grow, you will participate in code reviews, collaborate on data modeling decisions, and help optimize pipeline performance.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
We believe in a learning-first culture. You will receive mentorship from experienced engineers, have access to internal training resources, and be encouraged to experiment with new technologies. You will learn how to troubleshoot issues, monitor data quality, and implement best practices for data governance and security. Your work will directly impact business decisions, from product analytics to financial reporting.
Key responsibilities include:
- Building and maintaining ETL/ELT processes
- Writing and optimizing SQL queries
- Developing Python scripts for data cleaning and transformation
- Designing and maintaining data schemas
- Assisting with the implementation of data quality checks
- Documenting pipeline logic and data lineage
- Collaborating with cross-functional teams to understand data requirements
We are looking for someone who is curious, proactive, and eager to learn. A strong foundation in SQL and Python is essential, along with a basic understanding of data modeling and database concepts. Familiarity with cloud services (AWS, GCP, or Azure) and tools like Airflow or dbt is a plus, but not required. Most importantly, you should have a problem-solving mindset and a willingness to take ownership of your work.


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Hiredbuddy offers a supportive and inclusive remote environment where your contributions are valued from day one. If you are ready to launch your career in data analyst and work on meaningful projects, we would love to hear from you.
Requirements
- 0-2 years of experience in data Analyst, data analytics, or a related field
- Proficiency in SQL (writing complex queries, joins, aggregations)
- Basic to intermediate Python programming skills
- Understanding of data structures, algorithms, and database concepts
- Familiarity with version control (Git) and command-line tools
- Strong problem-solving and analytical abilities
- Excellent communication and teamwork skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
Nice to have:
- Exposure to cloud platforms (AWS, GCP, Azure)
- Data warehousing (Snowflake, BigQuery, Redshift)
- Orchestration tools (Airflow, Luigi)
Benefits
- Paid time off and holidays
- Professional development stipend for courses and certifications
- Home office equipment allowance
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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