Business Intelligence Analyst - Remote Data Visuals

Location

Desterro

Job Type

FULL_TIME

Experience

Skilled work

Job Description

Job Summary

Global MNC Tech is seeking a highly analytical and results-driven Business Intelligence Analyst – Remote Data Visuals to join our growing data and analytics team. In this role, you will be responsible for transforming complex datasets into clear, actionable insights through compelling dashboards, reports, and visual analytics. You will work closely with cross-functional teams to support strategic decision-making, improve operational efficiency, and uncover growth opportunities using data-driven approaches.

This is a fully remote position, ideal for professionals who thrive in fast-paced, digital-first environments and are passionate about data storytelling and business impact.


Key Responsibilities

  • Design, develop, and maintain interactive dashboards and reports using BI tools.

  • Translate business requirements into meaningful data visualizations and KPIs.

  • Analyze large and complex datasets to identify trends, patterns, and insights.

  • Collaborate with stakeholders across product, marketing, finance, and operations teams.

  • Ensure data accuracy, consistency, and integrity across all reports.

  • Automate reporting processes and improve data workflows for efficiency.

  • Present insights and recommendations to leadership in a clear and concise manner.

  • Support ad-hoc data analysis requests and strategic initiatives.


Required Skills and Qualifications

  • Strong proficiency in business intelligence and data visualization tools (Power BI, Tableau, Looker, or similar).

  • Advanced SQL skills for querying and manipulating data.

  • Solid understanding of data modeling, data warehousing, and ETL processes.

  • Experience with Excel/Google Sheets for advanced analysis.

  • Knowledge of statistical concepts and business analytics.

  • Excellent communication and data storytelling skills.

  • Strong problem-solving mindset with attention to detail.


Experience

  • Bachelors degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field.

  • 2–5 years of experience in a Business Intelligence, Data Analyst, or similar role.

  • Proven experience building dashboards and executive-level reports.

  • Experience working with cross-functional teams in a corporate or tech environment is preferred.


Working Hours

  • Full-time, remote position.

  • Standard working hours aligned with global business operations (flexible time zones).

  • Monday to Friday, 40 hours per week.


Knowledge, Skills and Abilities

  • Strong analytical and critical thinking abilities.

  • Ability to interpret business needs and convert them into data insights.

  • High level of data literacy and technical aptitude.

  • Ability to work independently in a remote environment.

  • Excellent organizational and time management skills.

  • Ability to handle multiple projects and deadlines simultaneously.

  • Strong presentation and stakeholder management skills.


Benefits

  • Competitive salary package.

  • 100% remote work flexibility.

  • Performance-based bonuses and incentives.

  • Career growth and professional development programs.

  • Access to cutting-edge analytics tools and platforms.

  • Paid time off, holidays, and wellness days.

  • Inclusive and collaborative global work culture.


Why Join Global MNC Tech?

At Global MNC Tech, we believe data is the backbone of innovation. You will be part of a forward-thinking organization that values insights, creativity, and continuous learning. This role offers the opportunity to work on global projects, influence strategic decisions, and build a meaningful career in data analytics—all while enjoying the flexibility of remote work.

We foster a culture of transparency, collaboration, and growth, empowering our employees to make a real impact.


How to Apply

Interested candidates are encouraged to submit their updated resume along with a brief cover letter highlighting their experience in business intelligence and data visualization.

Additional Details

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