Top Entry Level Business Intelligence Jobs

Build and maintain BI dashboards, reports, curated data models, and analytical datasets. Partner with stakeholders to define KPIs, translate business needs into reporting solutions, validate data accuracy, document metrics, troubleshoot discrepancies, automate recurring reporting, and support data-driven operational insights.

The Data and BI Manager leads reporting and analytics design, development, implementation, and infrastructure management. Responsibilities include maintaining dashboards and data warehouses, scaling reporting performance, guiding deployment, auditing financial data accuracy, and supervising related activities. The role requires advanced SQL, BI expertise, data programming knowledge, communication skills, and systems leadership experience.

Designs, deploys, and maintains Oracle Fusion Cloud business intelligence and reporting solutions. Gathers stakeholder requirements, develops reporting frameworks and dashboards, manages data warehousing and analytics solutions, and ensures data accuracy, integrity, and security. Troubleshoots reporting issues, improves reporting processes, and recommends enhancements that support business decision-making.

Build and maintain business intelligence data products for the spares supply chain organization. Responsibilities include developing ETL pipelines, semantic models, dashboards, metrics, and visualizations; validating data quality; documenting data flows; analyzing complex data; and providing actionable recommendations. The role partners with planning, procurement, and technical stakeholders to improve customer experience, reduce inventory costs, and communicate insights to technical and non-technical audiences.

Own the DSX data model, KPI definitions, reporting infrastructure, dashboards, and data governance for Volta’s multi-site AI factory delivery program. Align reporting across project controls, finance, supply chain, and delivery teams. Analyze capacity, schedule, cost, quality, and time-to-market performance; identify risks and trends; provide actionable leadership insights; and automate reporting to support program growth.

Leads pricing strategy, business intelligence, reporting, data governance, and product data management. Manages the Pricing and Data Analytics team, develops pricing controls, analyzes profitability and market trends, establishes reporting standards, and creates Power BI dashboards and executive scorecards. Partners with sales, procurement, IT, finance, marketing, quality, and leadership to support strategic decisions, continuous improvement, and company-wide data accuracy.

Develops and maintains Power BI reports and analytics solutions, troubleshoots reporting issues, traces data through SQL and Databricks, and explains insights to nontechnical users. Advises customers and developers on BI and AI solutions, explores AI automation opportunities, recommends platform strategies, and provides training and best practices. The role requires advanced Power BI, DAX, SQL, Databricks, AI, and healthcare data knowledge, with Epic familiarity preferred.

Develops and maintains business intelligence reports, dashboards, metrics, data warehouses, and analytical solutions. Extracts and interprets financial and statistical data, ensures reporting accuracy and confidentiality, evaluates reporting needs, and supports business decision-making. The role also trains end users, collaborates with business intelligence teams, and creates recurring and ad hoc reports using SQL, Python, Tableau, and Power BI.

The BI Analyst partners with business and technology stakeholders to frame analytical questions, define KPIs, validate data, identify trends, and deliver actionable recommendations. The role develops dashboards, reports, visualizations, and custom extracts; investigates data quality issues; supports BI solution planning, testing, and delivery; and improves existing analytical products. It also includes stakeholder communication, user training, standards development, and guidance for team members.

Analyzes HR, statistical, and clinical data to identify trends, outcomes, and actionable insights. Prepares accurate reports and studies, maintains data integrations and databases, supports special projects, and partners with leaders. The role also focuses on data integrity, process automation, and developing on-demand descriptive analytics tools.

Analyzes complex automotive data, standardizes datasets and KPI definitions, partners with engineering and governance teams, and develops scalable self-service dashboards. The role translates ambiguous business needs into data requirements, automates digital analytics programs, investigates trends and attributes, and supports enterprise reporting. It requires SQL, Excel, data visualization, statistical analysis, and AI tool experience. The position is hybrid, requiring at least 10 office days monthly, with travel up to 10%.

Designs and maintains data solutions, dashboards, reports, and automation that support business decision-making. Analyzes complex datasets, ensures data quality, develops data models, identifies trends, and provides actionable insights. Collaborates with stakeholders to define requirements, documents reporting processes, validates analytical solutions, and improves data governance and operational efficiency using tools such as SQL, Python, R, Excel, Power BI, and Domo.

Supports the development and maintenance of Qlik dashboards, reports, and data visualizations. Performs data analysis, validates reporting outputs, identifies trends and anomalies, translates business requirements into reporting solutions, troubleshoots data issues, and helps maintain metrics and KPIs. Collaborates with business stakeholders and develops knowledge of organizational data sources, business intelligence practices, and data governance standards.

Build and maintain Tableau dashboards, reporting, and SQL queries while defining business metrics. Perform exploratory, statistical, forecasting, variance, and cohort analyses to support planning and business reviews. Collaborate with data engineering on pipelines, data quality, governance, and machine learning models. Use AI tools to improve analytical workflows and translate technical findings into business recommendations.

Develop and maintain business intelligence dashboards, analytics solutions, and ad hoc reports. Translate stakeholder needs into technical specifications, build and validate reporting functionality, document solutions, provide training, and support data-driven decision-making. The role requires working with large datasets and enterprise reporting environments while collaborating with cross-functional stakeholders to improve processes and deliver reliable, accessible insights.

Develops and maintains Power BI, SQL Server, SSRS, and Excel reporting solutions. Transforms operational data into trusted datasets, models, dashboards, and analytical tools; manages Power BI resources; ensures data quality, governance, testing, security, and documentation; and partners with stakeholders to translate business needs into actionable insights. Coaches users on data-driven management and evaluates AI-enabled analytics and natural-language data access technologies.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Develops, maintains, validates, and improves Power BI dashboards, reports, metrics, visualizations, and reporting environments. Partners with stakeholders to gather requirements, analyze and clean data, validate datasets and reporting solutions, troubleshoot issues, and ensure accurate, reliable insights. Supports quality data reporting services, data-source validation, documentation, and continuous improvement of business intelligence systems.

Designs, develops, and maintains scalable Power BI dashboards, semantic models, and reporting infrastructure. Creates optimized DAX measures and time-intelligence logic, transforms data with Power Query, improves report performance, and implements RLS and OLS security. Collaborates with data engineers, analysts, data scientists, AI teams, and business stakeholders to deliver actionable analytics solutions.

Own operational processes in Addepar, onboard complex client relationships, build alternative transaction histories, create alternative assets, and produce recurring and ad hoc portfolio reports. Analyze investment data, troubleshoot reporting issues, improve processes, document data governance, manage reporting projects, and develop industry insights. The role requires expertise with Addepar, Canoe, Excel, and alternative investment products.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Develops business intelligence solutions for Texas Medicaid data by designing and building SQL queries and results in Business Objects, using SQL Developer and Oracle to meet customer requirements.

Creates reports, data extracts, analyses, data processes, and business intelligence solutions. Builds and documents code for transforming, aggregating, and presenting data; learns organizational data sources and flows; communicates with colleagues; and participates in training. The role requires a technical bachelor's degree, strong mathematics and statistics skills, experience with SQL or programming/database languages, dashboarding tools, and Excel proficiency.

The Business Analyst/QA Tester will assist in identifying business trends, support IT projects, and contribute to software testing to ensure quality deliverables.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.