Hire Business Intelligence Analysts
Build your BI team with Analysts from LatAm. Proficient in dashboards, data modeling, and insights delivery with fast onboarding in 21 days.
Hire Remote Business Intelligence Analysts
Alejandro is a skilled data engineer with a knack for innovative solutions.
- SQL
- Big Data
- Python
- ETL Pipelines
- Data Warehousing
Diego is a data architect organizing structured flows to support informed actions.
- Data Architecture
- Database Design
- Data Pipelines
- BI Tools
- Performance Optimization
Tiago is a data systems thinker building clarity into complex analytical models.
- Data Architecture
- ETL Processes
- Data Modeling
- Performance Metrics
- Automation Workflows
Andrea is a data thinker delivering clarity through structured and accurate analytics.
- Data Cleaning
- Data Analysis
- Visualization
- Business Reporting
- SQL
Alejandra is a data expert helping teams make better decisions through deep analysis.
- Data Reporting
- Data Governance
- Visualization Tools
- Process Optimization
- Trend Monitoring
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“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Business Intelligence Analysts Skills
Dashboard Development
Build BI dashboards in Power BI, Tableau, or Looker.
Data Modeling
Create structured data models to support analytics.
Reporting Automation
Set up scheduled, self-service reporting systems.
SQL Proficiency
Query, join, and transform data across systems.
Insight Delivery
Communicate trends and findings to business teams.
KPI Tracking
Define and monitor key metrics tied to company goals.
Business Intelligence Analysts Soft Skills
Curiosity
Dig into data to uncover patterns and opportunities.
Communication
Translate data findings into business-friendly insights.
Critical Thinking
Challenge assumptions with data-backed evidence.
Stakeholder Management
Balance needs across finance, ops, and leadership.
Time Management
Prioritize reporting and ad-hoc requests effectively.
Collaboration
Work cross-functionally on shared data priorities.
How to Hire Business Intelligence Analysts with Lupa
Turn raw data into business insight with top BI Analysts. Hire fast via our Remote Recruiting Company, grow with Remote Staffing Services, or build a long-term team using our RPO services.
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Business Intelligence Analysts
Recommended Titles
- BI Analyst
- Data Analyst
- Analytics Consultant
- Reporting Analyst
- Insight Analyst
- Data Visualization Analyst
Role Overview
- Tech Stack: Proficient in Power BI, Tableau, SQL, and Excel.
- Project Scope: Analyze KPIs and produce dashboards that drive strategic decisions.
- Team Size: Collaborate with analysts and stakeholders in units of 3–5 people.
Role Requirements
- Years of Experience: 2–4 years in BI, analytics, or finance-related analysis roles.
- Core Skills: Data querying, report generation, visualization, and executive summaries.
- Must-Have Technologies: Power BI, SQL, Tableau, Excel, Google Data Studio.
Role Benefits
- Salary Range: $70,000 – $120,000 based on domain knowledge and tool proficiency.
- Remote Options: Available with hybrid options in select regions.
- Growth Opportunities: Exposure to executive reporting and strategic analysis initiatives.
Do
- List experience in data modeling, reporting, and visualization
- Mention platforms like Looker, Tableau, Power BI, or Qlik
- Include SQL and strong analytical problem-solving skills
- Highlight ability to influence strategic decisions
- Use data-driven and insights-focused job language
Don't
- Don’t post vague analyst roles lacking BI platform focus
- Avoid omitting SQL and data transformation expectations
- Don’t ignore business insight delivery or visualization skills
- Refrain from listing tools without explaining application
- Don’t use overly academic or passive role language
Top Business Intelligence Analyst Interview Questions
What to ask Business Intelligence Analyst candidates
What BI tools have you used extensively?
Expect Power BI, Tableau, Looker, or Metabase. Bonus if they can compare strengths and ideal use cases.
How do you approach data storytelling in BI reports?
Look for logical flow, audience targeting, and visual clarity. They should aim to guide decisions, not just present metrics.
Describe a KPI dashboard you’ve built.
Expect clarity on metrics selection, data sources, visualization choices, and update frequency or interactivity.
How do you ensure data accuracy in reports?
They should explain QA processes, cross-source validation, and alerting systems for anomalies or latency.
What’s your experience working with cross-functional stakeholders?
Strong answers include regular syncs, feedback loops, and translating business needs into actionable metrics.
How do you approach a situation where stakeholders question your insights?
Expect data re-verification, transparent methodology, and proactive stakeholder education.
Describe a time your analysis uncovered a critical issue in business operations.
They should explain the insight, how it was validated, and how it informed corrective action.
How do you handle incomplete or inconsistent data when generating reports?
Expect handling of nulls, data imputation, caveated insights, and documentation of assumptions.
How do you troubleshoot data discrepancies between tools?
Look for layer-by-layer comparison, time window consistency, and source system verification.
What’s your approach to balancing business goals with data accuracy?
Expect alignment sessions, prioritization of trust, and incremental dashboard refinement.
Tell me about a time your insights directly influenced a key decision.
Expect business context, data synthesis, and clarity in presentation of findings.
How do you manage deadlines when working with multiple stakeholders?
Expect prioritization, communication strategies, and delivery tracking.
Describe a situation where your analysis was challenged. How did you respond?
Look for defensibility, openness to re-checks, and data-driven collaboration.
How do you stay aligned with evolving business goals?
Expect constant dialogue with stakeholders, documentation, and metric review loops.
What do you do when business logic contradicts your data findings?
Expect diplomacy, root cause review, and alignment on definitions or updates.
- Overwhelms with metrics instead of actionable insights
- Fails to tailor reports to audience needs
- Inconsistent data sourcing or validation practices
- Ignores data storytelling in stakeholder presentations
- Resistant to iterating based on business feedback
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