HiredBuddy
Data Analyst

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Project Description
Hiredbuddy is seeking a motivated Data Analyst to join our remote team. You will support business decisions by collecting, cleaning, and interpreting data, creating reports and dashboards, and collaborating with cross-functional teams. Ideal for entry-level candidates with a strong foundation in SQL, Excel, and data visualization.
Full Description
Hiredbuddy is looking for an entry-level Data Analyst to join our growing analytics team. This fully remote role is perfect for someone who is eager to apply their analytical skills to real-world business challenges, collaborate with cross-functional teams, and build a strong foundation in data-driven decision making.
As a Data Analyst, you will be responsible for collecting, cleaning, and interpreting data from various sources, transforming raw numbers into actionable insights. You will work closely with stakeholders in marketing, operations, and product to understand their reporting needs and deliver clear visualizations that drive strategy.
Your day-to-day will involve:
- Writing SQL queries to extract data from relational databases
- Performing exploratory analysis in Excel or Python
- Building dashboards in tools like Tableau or Power BI
- Assisting in maintaining data quality by identifying and correcting inconsistencies
- Documenting data pipelines and suggesting improvements to data collection processes
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 expect you to be curious, detail-oriented, and committed to continuous learning. You will receive mentorship from senior analysts, participate in regular team meetings, and have opportunities to present your findings to leadership. While prior internship or coursework is beneficial, we value a strong analytical mindset and the ability to communicate complex ideas simply.
Key Responsibilities
- Writing and optimizing SQL queries to pull and aggregate data
- Cleaning and preprocessing datasets to ensure accuracy and completeness
- Performing statistical analysis and trend identification
- Creating and maintaining dashboards and ad-hoc reports
- Collaborating with team members to define metrics and KPIs
- Documenting analysis processes and findings for reproducibility
- Staying up-to-date with industry best practices and emerging tools


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This role offers an excellent chance to grow your technical skills while contributing directly to business outcomes. If you are passionate about turning data into insights and thrive in a remote-first culture, we encourage you to apply.
Requirements
- Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field
- 0–2 years of experience (internships or academic projects acceptable)
- Proficiency in SQL and Excel (pivot tables, formulas, charting)
- Familiarity with data visualization tools like Tableau, Power BI, or similar
- Basic knowledge of Python or R for data manipulation is a plus
- Strong analytical and problem-solving skills
- Excellent written and verbal communication abilities
- Ability to work independently in a remote environment
- A keen eye for detail and a commitment to data accuracy
Benefits
- Flexible remote work environment
- Professional development budget for courses and certifications
- Paid time off and paid holidays
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