12 часов назад
Business Intelligence Data Analyst
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Intelligence Data Analyst (Power BI/Databricks): Developing dashboards, reports, and analytical products for business decision-making with an accent on data validation, semantic models, and enterprise data assets. Focus on analyzing large datasets, building SQL-based insights, and applying AI-assisted analytics within a collaborative data platform environment.
Location: Heredia, Costa Rica; office attendance required on Mondays, Wednesdays, and Thursdays, with additional days possible based on business needs.
Company
operates a Global Reporting & Analytics environment supporting business reporting and data-driven decision-making.
What you will do
- Partner with business stakeholders to define reporting requirements, business processes, and analytical needs.
- Design, develop, and maintain Power BI dashboards, reports, and analytical products.
- Analyze large datasets to identify trends, opportunities, risks, and actionable insights.
- Use curated datasets and enterprise data assets within the Databricks platform.
- Write SQL queries and perform data quality reviews, reconciliations, and validation.
- Support semantic models, metrics, business definitions, and scalable analytics solutions with data engineers and business teams.
Requirements
- Bachelor’s degree in a relevant analytical or technical field, or 4+ years of experience in lieu of a degree.
- At least 2 years of experience in BI, analytics, or data engineering, including dashboard development and data preparation.
- Experience developing dashboards and semantic models in Power BI or a similar tool.
- Experience working with large datasets to solve business problems and generate insights.
- Unrestricted right to work for in Costa Rica is required.
- Strong analytical, problem-solving, communication, data-quality, and prioritization skills.
Nice to have
- Experience with financial data, management reporting, or corporate analytics.
- Experience with SQL troubleshooting and data validation.
- Exposure to Databricks, Snowflake, Azure Data Platform, or similar cloud data technologies.
- Basic Python, data automation, data transformation, ETL/ELT, data pipelines, or data warehousing experience.
- Experience using AI-assisted tools for analytics, reporting, automation, or productivity.
Culture & Benefits
- Collaborative environment involving data engineers and cross-functional business stakeholders.
- Opportunity to develop expertise in modern data platforms and analytics technologies.
- Fast-paced environment with multiple priorities and continuous improvement of BI and data assets.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →