Top Business Intelligence Jobs
The Director of Business Intelligence, Reporting & Analytics will lead the team in achieving strategic objectives by integrating data insights, automation, and visualization tools to support decision-making in operations. This role involves collaborating with various leaders, managing a team, and enhancing a data-driven culture within the organization.
The Business Intelligence Analyst will lead initiatives in data analytics using Power BI, managing organizational adoption, ensuring data quality, and facilitating training sessions. Responsibilities include designing and developing reports, supporting analytics requests, and recommending best practices for data use across the organization.
The Business Intelligence Analyst is responsible for leading data analytics initiatives using Power BI, managing workspaces, implementing security protocols, and providing analytics support. The role includes developing reports, facilitating user training, and ensuring data quality while collaborating with various brand teams.
Responsible for turning raw data into information by building reports and dashboards using Power BI and Power Query. Work as part of a cross-functional team supporting data modeling and report/dashboard development. Complete ad-hoc report/dashboard development to meet reporting and analytical needs. Derive actionable insights through critical analysis and data visualization.
The Business Intelligence Analyst leads data analytics using Power BI, focusing on organizational adoption, security protocols, and ensuring data quality. Responsibilities include designing and developing reports, training associates, and facilitating user meetings to gather business requirements, ultimately supporting the execution of business strategy through strategic insights and analytics.
The Business Intelligence Analyst will lead data analytics using Power BI, manage premium workspaces, implement security protocols, and support analytic requests. Responsibilities include creating reports, facilitating training, ensuring data integrity, and collaborating with teams to provide insights for business strategies.
The Business Intelligence Analyst will drive the adoption and proper development of Power BI, manage data analytics, and ensure data quality across data warehouses. Responsibilities include creating insightful reports and dashboards, educating staff on Power BI, and providing strategic insights based on data analysis.
The Principal Business Intelligence Engineer will lead data visualization efforts, develop dashboards using Tableau, manage relationships with internal customers, and mentor junior team members. This role involves analyzing data integrity, governing datasets, and presenting analytical results to non-technical decision-makers.
Featured Jobs
The Sr. Specialist, Business Intelligence Engineer will analyze data to help Snap's leadership make informed, data-driven decisions. Responsibilities include identifying performance trends, building dashboards, collaborating with cross-functional teams, and providing actionable insights to optimize advertiser performance and product development.
The Business Intelligence Engineer analyzes data to provide actionable insights that help the business make informed decisions. Responsibilities include collating information from various sources, identifying performance trends, working with dashboards, influencing client decisions, and collaborating with cross-functional teams.
As a Principle Analyst in Business Intelligence, you will create and maintain executive dashboards, collaborate with cross-functional teams to analyze business needs, ensure data integrity, and document various business metrics and their sources. You will leverage expertise in data analysis and visualization to enhance how stakeholders interact with data-driven insights.
The BI Developer will design, develop, and maintain business intelligence solutions to support data-driven decision-making. Responsibilities include creating dashboards and reports, ensuring data accuracy, collaborating with internal teams, performing data analysis, and implementing data governance measures.
The Senior Data Operations Engineer will develop and maintain data infrastructure at Klaviyo, focusing on analytics platform security, pipelines, and compliance. This role involves building data models, collaborating with various teams, working with large databases, and creating cloud-native solutions.
The Lead Business Intelligence Analyst will design, develop, and support analytic and reporting solutions for business intelligence, ensuring adherence to design standards, managing customer-impacting issues, and guiding user acceptance testing. They will partner with business users to gather information requirements and drive innovative solutions using enterprise BI tools.
As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.
The Business Intelligence Engineering Manager at Cash App will lead the Third Party Response Analytics team, driving the vision for Business Intelligence Engineering, creating self-service tools, ensuring operational excellence, and developing a high-impact team while collaborating with various internal stakeholders.
The Senior Data Engineer for Business Intelligence at Klaviyo will develop and maintain the data infrastructure crucial for the organization’s analytics and reporting needs. Responsibilities include managing the data environment, creating data models for predictive insights, collaborating with various departments, and supporting data-driven decision-making.
As a Senior Business Intelligence Engineer, you'll drive data strategy and governance while partnering with the Growth Marketing team. Your role includes developing and optimizing data pipelines, ensuring efficient data self-service for stakeholders, and translating product signals into analytical insights to better understand customer behavior.
The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.
The Business Intelligence Analyst will provide technical support for business intelligence and reporting needs, design and implement visual and analytical reports using BI tools, and ensure data integrity and normalization while collaborating with organizational personnel.
Business Intelligence SMEs design and implement business intelligence applications, develop test plans, and manage data integration processes. They may oversee junior staff to ensure successful completion of data warehousing tasks.
The BI Analyst role involves translating complex business requirements into scalable solutions, creating reports, dashboards, and automations using SQL and Power BI, and supporting district operations through data analysis and visualization.
The Junior Power BI Developer will focus on report development using Power BI, building reporting models, creating visual reports and dashboards, and ensuring data connectivity. Responsibilities include using DAX for data analysis, implementing security models, and documenting project methodologies.
The Senior Business Intelligence Analyst will drive strategic decision-making by working with stakeholders to identify trends, generate insights, develop reporting suites, create forecasting models, and perform ad hoc analyses. They will collaborate with data analysts and engineers to ensure accurate data is available and lead cross-functional projects.
Join Rapid Finance as a Business Intelligence Analyst to design, develop, and implement Data Warehouse and BI programs. Work with stakeholders to identify requirements, leverage data visualization tools, and translate business requirements into logical data models. Retrieve and aggregate data from multiple sources to drive decisions and communicate insights. Responsibilities include developing dashboards, analyzing key performance indicators, configuring data mart schemas, and supporting various teams with data insights.
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