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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data & Business Intelligence Analyst (Tableau/Power BI/SQL): Developing interactive dashboards, recurring reports, and data analyses that support business decision-making with an accent on complex SQL queries, data visualization, and stakeholder requirements. Focus on validating data accuracy, identifying trends in large datasets, and improving reporting capabilities across operational, financial, and performance domains.
Location: Bloomington, MN, US; onsite
Salary: $80,000–$95,000 annually
Company
hirify.global is hiring for a direct-hire data and business intelligence role supporting data-driven decision-making.
What you will do
Design, develop, and maintain interactive dashboards and reports using Tableau and/or Power BI.
Extract, transform, and analyze data from multiple sources using SQL and support ad hoc analysis.
Gather reporting requirements and key performance metrics from business stakeholders.
Identify trends and opportunities in large datasets and communicate findings to leadership and business teams.
Develop recurring operational, financial, and performance reporting while validating data accuracy and troubleshooting discrepancies.
Document reporting processes, data definitions, and business logic; partner with technical teams on data quality, accessibility, and reporting improvements.
Requirements
Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Finance, or a related field, or equivalent experience.
3–5 years of experience in data analysis, business intelligence, reporting, or analytics.
Advanced SQL skills, including complex queries and work with large datasets.
Experience developing dashboards and visualizations with Tableau and/or Power BI.
Strong analytical, problem-solving, and critical-thinking abilities.
Experience gathering requirements and working directly with business stakeholders.
Strong communication skills, including presenting technical information to non-technical audiences.
Proficiency with Microsoft Excel.
Nice to have
Experience with data modeling and reporting best practices.
Exposure to data warehousing concepts.
Experience using Python or R for data analysis.
Familiarity with Azure, AWS, or Snowflake.
Experience with enterprise ERP, CRM, or operational systems.
Culture & Benefits
Full-time, direct-hire employment.
Individual contributor role with cross-functional collaboration.
Onsite work in Bloomington, Minnesota.
Opportunity to drive improvements through data analysis, reporting, and visualization.
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