Instituto Profesional Latinoamericano de Comercio Exterior
Data Analys

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Role Description
We are seeking a detail-oriented and analytical Data Analyst to transform data into meaningful insights that support business decision-making and operational excellence. The successful candidate will collect, clean, analyze, and interpret data from multiple sources to identify trends, patterns, and opportunities for improvement.
Responsibilities
- Developing reports and dashboards
- Performing data validation and quality checks
- Preparing data visualizations
- Presenting analytical findings to business stakeholders in a clear and actionable manner
- Collaborating with cross-functional teams to understand business requirements
- Defining key performance indicators (KPIs)
- Supporting strategic initiatives
- Providing data-driven recommendations
- Maintaining data integrity
- Documenting analytical processes
- Optimizing reporting workflows
- Supporting business intelligence initiatives
- Contributing to continuous improvement through effective use of data and analytics
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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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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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.
Strong analytical thinking, attention to detail, and communication skills are essential to ensure accurate reporting and informed business decisions.


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Qualifications
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Technology, Business Analytics, or a related discipline.
- Strong understanding of data analysis methodologies, statistical concepts, and data visualization best practices.
- Proficiency in SQL for data extraction, manipulation, and validation.
- Familiarity with Microsoft Excel, Power BI, Tableau, or other business intelligence and reporting tools.
- Basic knowledge of Python or R for data analysis and automation is an advantage.
- Understanding of relational databases, data modeling, and data quality management principles.
- Ability to interpret complex datasets and translate analytical findings into business insights.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent attention to detail with a commitment to data accuracy and integrity.
- Good written and verbal communication skills with the ability to present technical information to non-technical stakeholders.
- Strong organizational and time management skills with the ability to manage multiple priorities.
- A proactive mindset, willingness to learn, and commitment to continuous improvement in data analytics and business intelligence.
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