Leo is a portfolio of trusted service companies operating under one brand. Our family includes Academy Locksmith, Firstline Lock & Door, First Choice Facilities, Caliber, CLM, Impact, and others - all Powered by Leo. By operating as one team, we invest in our people, systems, and shared ways of working, while continuing to support the local teams and relationships that define our businesses. The result is consistent, reliable service and more opportunity for our people to grow and make an impact.
Business Intelligence Analyst
Location
United States
Posted
47 days ago
Salary
$95K - $115K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Business Intelligence Analyst
Leo Facilities Maintenance
Description About Leo Leo is a portfolio of trusted service companies operating under one brand. Our family includes Academy Locksmith, Firstline Lock & Door, First Choice Facilities, Caliber, CLM, Impact, and others - all Powered by Leo. By operating as one team, we invest in our people, systems, and shared ways of working, while continuing to support the local teams and relationships that define our businesses. The result is consistent, reliable service and more opportunity for our people to grow and make an impact. ABOUT THE ROLE We are looking for a driven detail-oriented Business Intelligence Analyst to become the cornerstone of our data and analytics function. This is a high-impact, ownership-driven role. You will be responsible for supporting the end-to-end lifecycle of our data solutions, from raw ingestion and data quality governance through to polished executive-facing dashboards. You will work directly with leadership, operations, finance, sales, HR, and technology teams, translating complex data into clear, actionable insight. If you thrive on building things that matter, take pride in clean data, and love automating the mundane so you can focus on the meaningful then this role was built for you. Core Technology Stack - Snowflake - SQL - Power BI/Dax - Power Automate - Microsoft 365 - Azure - N8N/RPA - cData/ETL KEY RESPONSIBILITIES Reporting & Visualization • Own the design, development, and maintenance of all Power BI dashboards, reports, and scorecards across the organization • Establish and enforce reporting standards, including naming conventions, data model governance, and version control • Translate business questions from all organizational levels — from frontline staff to the C-suite — into clear, accurate visual analytics • Deliver self-service BI capabilities that reduce ad hoc data requests and empower teams to answer their own questions Data Quality & Governance • Own data quality end-to-end: define standards, build monitoring pipelines, triage anomalies, and communicate findings proactively • Implement and maintain data validation frameworks within Snowflake and downstream reporting layers • Partner with data owners across the business to document data lineage, definitions, and business rules • Develop and maintain a data dictionary and metadata catalog to support organizational data literacy Automation & Integration • Maintain and innovate automated workflows using Power Automate, N8N, or equivalent RPA platforms to reduce manual data handling • Build and maintain data pipelines that connect source systems to Snowflake and BI layers with minimal latency and maximum reliability • Identify repetitive, manual processes across the organization and proactively develop automation solutions • Support integration between Microsoft 365 ecosystem tools (Teams, SharePoint, Excel, Outlook) and core data infrastructure Data Architecture & Solutions • Contribute to the design and evolution of our Snowflake data warehouse — schemas, data models, access patterns, and performance optimization • Advise on and implement best practices for star schema, data vault, or medallion architecture patterns depending on use case • Collaborate with engineering and IT to ensure data solutions are scalable, secure, and aligned with organizational strategy • Support the evaluation and adoption of new data tools, platforms, and emerging technologies Stakeholder Communication • Serve as the primary point of contact for data questions, needs, and escalations across the organization • Present findings, project status, and data insights clearly to both technical and non-technical audiences • Lead regular reporting reviews, data working groups, or analytics office hours to increase data fluency across teams WHAT SUCCESS LOOKS LIKE In your first 90 days, you will have: ? Familiarize yourself with the data landscape of all companies ? Establish yourself as the go-to resource for data questions across the organization ? Delivered at least one meaningful automation that reduces manual effort Within your first year, you will have: ? Implemented a data standardization framework across all departments and companies ? Rebuilt or significantly improved the core reporting suite in Power BI ? Contributed meaningfully to the design of our Snowflake data architecture ? Create a portfolio of workflow automations that have meaningful business impact Requirements 2-4 years of hands-on experience in a Business Intelligence, Data Analyst, or Analytics Engineer role • Advanced SQL proficiency – Schemas, warehouses, stages, tasks, streams, and query optimization • Proven experience with Snowflake or equivalent • Data modeling, DAX, row-level security, deployment pipelines, and gateway management • Advanced Power BI skills • Demonstrated experience owning data quality programs • Workflow automation using Power Automate, N8N, or similar RPA tooling • Hands-on experience with at least one automation through API • SharePoint, Teams integrations • Deep familiarity with the Microsoft 365 / Azure ecosystem • Strong understanding of data warehouse concepts and modern architecture patterns • Exceptional communication skills — proven ability to present complex data to non-technical stakeholders confidently • Self-starter mentality with a track record of owning projects from concept to delivery with minimal supervision • Quick learner who actively stays current with evolving tools, platforms, and industry best practices NICE TO HAVE • Experience with Python or AI Agents for data transformation and pipeline orchestration • Familiarity with CI/CD practices applied to data and BI projects (git, version control, testing frameworks) • Background in building semantic layers or metrics layers (Power BI Tabular models) • Experience with Agile / Scrum methodologies in a data team context • Microsoft certifications — PL-300 (Power BI Data Analyst), DP-900, DP-203, or equivalent • Familiarity with statistical analysis, forecasting models, or machine learning concepts • Experience in a fast-scaling organization where processes and infrastructure were built, not inherited
Related Guides
Related Categories
Related Job Pages
More Business Intelligence Analyst Jobs
• Leads or co-leads larger projects, technical and advisory, and contributes to project design. • Independently drives work with minimal day-to-day supervision and project oversight. • May manage Associates and Senior Associates in a supervisory capacity, if/as needed. • Manages projects to exemplary client satisfaction; Contributes to and/or leads proposals. • Build dashboards, charts, and interactive views aligned to approved requirements, indicators, and business rules, using Snowflake-curated data as the source of truth. • Develop standardized visualization components and templates (e.g., filter controls, parameters, tooltips, legends, export patterns) to support consistency across products. • Implement indicator and metric logic in the BI layer where appropriate (e.g., calculations, measures, formatting, labeling) consistent with documented methodologies and conventions. • Configure and maintain BI semantic layer/modeling artifacts as applicable (e.g., Tableau data sources/extracts where relevant, Power BI datasets/models), preserving alignment with Snowflake structures. • Improve performance and usability through tuning and optimization (e.g., query efficiency, workbook/model design, visual density, filter strategies). • Support release readiness and visual quality assurance, including filter behavior, crosstab consistency, export validation, and stakeholder review cycles. • Participate in DPH/LPH engagement and refinement sessions and translate feedback into prioritized visualization updates. • Work within a structured delivery environment using Jira, Confluence, SharePoint, Microsoft Teams, and Microsoft Office.
Director, Business Intelligence
HumanaLouisville, Kentucky-based Humana is a leading healthcare company that offers a variety of health, wellness, and insurance products and services designed to offer an integrated app
• Solve complex business problems using data from internal and external sources • Lead the strategy, development, and execution of data management and analytic functions • Drive effective governance of insurance benefit data across the full lifecycle • Oversee the development, maintenance, and optimization of analytic processes • Enforce Enterprise data governance policies, standards, and best practices • Support automation and process enhancement efforts • Collaborate with IT, leaders within the Product organization, other business units, and executive leadership • Monitor industry trends and recommend new tools, technologies, or processes • Support organizational change management by advocating for a data-driven culture
Business Intelligence Analyst Assistant Director
Mayo ClinicHeadquartered in Rochester, Minnesota, Mayo Clinic is a nonprofit medical institution ranked first in more specialties than all other hospitals in America. The company employs arou
Reports to the Director of Business Intelligence Analytics and resides within the Development Technology Services (DTS) team. Plays a critical role supporting the advancement of technology, analytics, data science, automation and Artificial Intelligence (AI) within philanthropic activities of Mayo Clinic. Collaborates closely with Frontline Fundraisers, Marketing team, Stewardship & Recognition, Information Technology functional experts and other teams across Mayo Clinic as needed. Acts as an internal technical consultant by applying high order analytics and business expertise to the Mayo Clinic's Department of Development organization. Assists with creating business insights through world class, real time, analytical tools and approaches. Identifies insights on prospects behaviors, financial performance, trends of giving, affinities, and use of departmental resources. This includes but it is not limited to: - Creating self-service tools & dashboards supporting functional areas of department - Integrating external data into existing ecosystem of prospect insights tools - Analysis supporting data driven strategies and tactics development - Assisting with data validation tests and QA testing - Collecting, cleaning, and aggregating data from multiple sources - Creating technical documentation - Automating business processes to streamline operations - Forecasting and statistical modeling of prospects behaviors and affinities, as well as sentiment for a topic or funding interest (leveraging Generative AI & LLM, machine learning, decision trees, clustering, pattern recognition, and other data science approaches) - Other ad-hoc analysis and reports as needed. Position requires ability to identify new data needs and ability to transform existing variables in a creative and meaningful way to serve the purpose. Requires “yes I can”, creative, solution-oriented attitude that is able to deal with imperfections. Stay abreast of the latest trends and developments in AI, business intelligence, and data science, applying this knowledge to drive continuous improvement and innovation within the team. Leveraging Generative AI & LLM to automate complex data processes, enhance predictive analytics, and optimize business operations, ensuring alignment with organizational goals. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Job Title: Power BI Specialist Times and Materials Project (Fully remote) Role Overview We are seeking a highly skilled Power BI Specialist to design, develop, and maintain interactive dashboards and business intelligence solutions that support data-driven decision-making. The successful candidate will work closely with business stakeholders, analysts, and IT teams to transform complex data into meaningful insights using Microsoft Power BI. Key Responsibilities Data Visualization & Reporting - Design, develop, and maintain interactive Power BI dashboards and reports. - Translate business requirements into effective data visualizations and reporting solutions. - Optimize dashboards for performance, usability, and scalability. Data Modelling & Integration - Develop and maintain robust data models within Power BI. - Integrate data from multiple sources including databases, data warehouses, APIs, and cloud platforms. - Create and maintain DAX calculations, measures, and KPIs. Business Analysis & Collaboration - Work with stakeholders to understand business requirements and reporting needs. - Provide insights and recommendations based on data analysis. - Support business users with training and adoption of Power BI solutions. Data Quality & Governance - Ensure data accuracy, integrity, and consistency across reports. - Implement best practices for data governance and security. - Maintain documentation for reports, data models, and processes. Performance & Optimization - Monitor and improve Power BI report performance. - Implement efficient queries and data refresh processes. - Troubleshoot and resolve data and reporting issues. Required Experience - Proven experience working with Microsoft Power BI in a BI or data analytics role. - Experience with data modelling and data visualization techniques. - Strong knowledge of DAX, Power Query, and data transformation. - Experience integrating data from SQL databases and other enterprise systems. - Experience building enterprise-level dashboards and reporting solutions. Technical Skills - Microsoft Power BI Desktop & Power BI Service - DAX (Data Analysis Expressions) - Power Query / M Language - SQL and relational databases - Data modelling and data warehousing concepts - Microsoft Excel and Office tools Preferred Skills - 10 years' experience with Azure Data Services (Azure SQL, Synapse, Data Factory) - Knowledge of ETL processes and data pipelines - Understanding of data governance and security best practices Education - Bachelor's Degree in Information Systems, Computer Science, Data Analytics, or related field preferred. Key Competencies - Strong analytical and problem-solving skills - Attention to detail and data accuracy - Excellent communication and stakeholder engagement - Ability to translate complex data into clear business insights


