Business Intelligence Analyst in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Business Intelligence Analyst in United States.

This role sits at the heart of a data-driven organization, turning complex datasets into clear, actionable insights that guide strategic and operational decisions. You will work closely with cross-functional teams to understand business needs and translate them into analytical solutions, dashboards, and reporting frameworks. The position involves independently managing analytics projects from requirements gathering through delivery, ensuring that data outputs are accurate, meaningful, and aligned with business goals. You will play a key role in defining KPIs, strengthening data governance practices, and improving overall data quality and trust across systems. The environment is collaborative and fast-paced, with a strong emphasis on curiosity, precision, and problem-solving. This is an opportunity to influence how data is used across the organization to drive measurable business impact.

You will lead end-to-end analytics initiatives and contribute to the development of a strong enterprise data foundation, including:

• Owning medium-complexity analytics projects from requirements definition through delivery, in close collaboration with business stakeholders.
• Analyzing structured and unstructured data from multiple sources to identify trends, patterns, and actionable insights.
• Designing and building dashboards and reports using BI tools such as Power BI or Looker to support business decision-making.
• Translating business requirements into technical specifications, including KPIs, calculations, and business rules.
• Conducting exploratory data analysis and hypothesis testing to validate assumptions and support strategic decisions.
• Collaborating with data engineering teams to ensure proper data flows, structures, and integrations for analytics use cases.
• Contributing to data governance by maintaining definitions, metadata, and documentation of data lineage.
• Supporting data quality initiatives to improve accuracy, consistency, and trust in organizational data.
• Working with cross-functional teams to identify opportunities for process optimization, revenue growth, and improved customer experience.
• Applying basic data modeling concepts and supporting ETL and data pipeline development efforts.
• Communicating insights clearly through data storytelling tailored to both technical and non-technical audiences.

The ideal candidate is a detail-oriented and analytical professional with strong technical BI capabilities and business acumen:

• Bachelor’s degree in a quantitative field such as mathematics, statistics, data analytics, or equivalent experience.
• 3+ years of experience in business intelligence, data analysis, statistics, or a related analytical role.
• Strong proficiency in SQL, including writing and optimizing complex queries.
• Solid understanding of data modeling concepts such as star and snowflake schemas.
• Hands-on experience with BI and visualization tools such as Power BI, Looker, or Tableau.
• Familiarity with ETL processes and collaboration with data engineering teams.
• Exposure to Python or other scripting languages is a plus.
• Strong analytical thinking, problem-solving skills, and attention to data accuracy.
• Ability to communicate insights clearly and translate data into business recommendations.
• Experience supporting data governance, data quality, and metadata management practices.
• Comfortable working independently in a fast-paced, collaborative environment.

• Competitive salary range of $80,000 to $100,000, based on experience and qualifications.
• Annual bonus eligibility based on company performance and role-specific criteria.
• Comprehensive benefits package including health, dental, and vision insurance.
• Retirement savings plan with employer contributions.
• Paid time off, sick leave, and parental leave programs.
• Exposure to a large-scale, mission-driven data and analytics environment.
• Opportunities to work with modern BI tools and advanced data ecosystems.
• Inclusive workplace culture that values diverse perspectives and continuous learning.