via Dice
$70K - 120K a year
Design and maintain BI dashboards and reports, manage and model data, perform data analysis, collaborate with teams, and improve BI processes.
Bachelor's degree in related field, 2-5+ years BI or data analysis experience, proficiency in BI tools and SQL, understanding of data warehousing, strong analytical and communication skills.
Business Intelligence Specialist The Business Intelligence (BI) Specialist is responsible for transforming data into meaningful insights that support business decision-making. This role involves designing data models, developing dashboards and reports, performing data analysis, and ensuring data accuracy and availability across the organization. The BI Specialist works closely with cross-functional teams to understand business needs and translate them into technical solutions. Key Responsibilities1. BI Development & Reporting • Design, build, and maintain dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or Qlik. • Develop automated reporting solutions to streamline business processes. • Create interactive visualizations that effectively communicate trends and insights. 2. Data Management & Modeling • Collect, clean, and validate data from multiple internal and external sources. • Create and optimize data models for reporting and analytics. • Work with databases (SQL Server, MySQL, PostgreSQL, etc.) to extract and manipulate large datasets. • Ensure data accuracy, consistency, and integrity. 3. Analytics & Insights • Conduct exploratory data analysis to identify patterns, trends, and opportunities. • Collaborate with business stakeholders to define KPIs and performance metrics. • Translate analytical findings into actionable recommendations. • Support strategic planning and forecasting efforts through data-driven insights. 4. Cross-functional Collaboration • Partner with product, finance, operations, marketing, and leadership teams to understand business needs. • Provide training and support for BI tools and dashboards. • Act as a liaison between technical teams and non-technical stakeholders. 5. Continuous Improvement • Stay updated with BI technologies, data analytics trends, and industry best practices. • Optimize existing BI processes for performance and scalability. • Propose enhancements to data infrastructure and reporting workflows. Required Skills & Qualifications • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or related field. • 2-5+ years of experience in business intelligence, data analysis, or related roles. • Proficiency in BI tools (Power BI, Tableau, Qlik, Looker, etc.). • Strong SQL skills and experience working with relational databases. • Understanding of data warehousing concepts (ETL/ELT, dimensional modeling). • Excellent analytical, problem-solving, and critical thinking abilities. • Ability to communicate complex data insights to non-technical audiences. • Experience with Excel and data visualization best practices. Preferred Qualifications • Experience with cloud platforms (Azure, AWS, Google Cloud Platform). • Familiarity with Python or R for data analysis. • Knowledge of DAX, MDX, or other modeling languages. • Background in statistical analysis or predictive modeling. • Experience in agile environments or project management.
This job posting was last updated on 11/28/2025