
Business Intelligence Analyst
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Engage in discussions with stakeholders to establish and document the requirements for reports and dashboards.
• Act as a subject matter expert in data visualization, reporting best practices, and frameworks for data management.
• Create and develop dashboards and visual representations of data.
• Perform data analysis and modeling to uncover trends, insights, and recommendations.
• Generate and document business requirements pertaining to data sets, reports, and dashboards.
• Test and validate reports and dashboards to ensure they meet business and technical requirements.
• Define, validate, and manage business definitions related to data sets and reporting schemas.
• Collaborate with ITS on data governance, the delivery of data sets, and troubleshooting BI systems.
• Improve data governance policies to guarantee the accuracy and integrity of enterprise data.
• Assist in the development of data sets that align with business requirements and reporting needs.
• Provide troubleshooting assistance and support for BI stakeholders and end-users.
• Keep system documentation and training materials updated.
• Facilitate education and training sessions for clients using BI and reporting tools.
• Evaluate new data sources for integration into the enterprise reporting framework.
• Propose and implement enhancements to the OCFO BI reporting framework for improved performance and scalability.
• Contribute to cross-functional projects that align with OCFO objectives.
• A relevant Bachelor's Degree along with 2 or more years of experience, or equivalent education/experience; alternatively, a relevant Master's Degree or equivalent education/experience.
• Educational qualifications must be fulfilled before the employment start date.
• Eligibility may be limited based on citizenship due to access to Controlled Unclassified Information.
• Fundamental understanding and broad application of technical principles, theories, and concepts.
• Basic knowledge of database concepts, data modeling, and schema design.
• Familiarity with Power BI, SSRS, Tableau, or other reporting tools.
• Strong proficiency in Microsoft Office productivity tools.
• Capability to access, query, analyze, and model incoming data.
• General knowledge of relevant disciplines.
• Ability to work independently under general supervision while exercising judgment within established practices and procedures.
• Effectiveness in a team-oriented, matrixed organization.
• Excellent written and verbal communication skills.
• Strong organizational and time management skills.
• Ability to convey technical concepts to non-technical audiences.
• Strong team-oriented approach.
• Proven analytical and problem-solving skills.
• Experience with SQL coding for data extraction, transformation, and optimization.
• Experience with Python, particularly Pandas.
• Familiarity with parquet files.
• Experience with Oracle databases.
• Exposure to Azure SQL or other cloud-based database environments.
• Experience in data engineering and data science methodologies.
• Experience in restructuring legacy financial data and optimizing wide tables.
• Proficiency in Microsoft Power BI, including DAX and best practices for governance.
• Experience in designing data visualizations and executing reporting frameworks.
• Proficient in Microsoft Excel and SmartView reporting.
• Experience with financial systems.
• Ability to obtain and maintain a federal Personal Identity Verification (PIV) card and successfully pass a background investigation.
• Must successfully pass a pre-employment drug screening.
• Medical, dental, and vision insurance.
• Short- and long-term disability insurance.
• Pension benefits.
• 403(b) Employee Savings Plan with employer matching.
• Life insurance and accidental death and dismemberment (AD&D) coverage.
• Personal time off (PTO) and sick leave.
• Paid holidays.
• Tuition reimbursement.
• Potential eligibility for monetary awards based on performance, merit, and achievements.
• Potential reimbursement for relocation expenses.
• Extensive opportunities for professional development.
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