• Optimize and expand existing PostgreSQL-based analytics pipelines, ensuring performance, scalability, and data accuracy across large operational datasets. • Extend existing analytical models and reports to incorporate new data sources, asset types, or mission areas under the government contract. • Develop interactive dashboards, reports, and data visualizations using business intelligence tools leveraging custom SQL as the foundation for all datasets. • Analyze industrial asset performance metrics – including operational availability, reliability, and maintenance success rates – to identify trends and improvement opportunities. • Support the development and continuous improvement of key performance indicators (KPIs) that measure maintenance performance, asset reliability, and lifecycle effectiveness. • Extract, transform, and analyze data from ERP and CMMS systems. • Perform data validation and continuous quality assurance to ensure consistency and accuracy across reports and source systems. • Collaborate with stakeholders to understand reporting requirements and translate business needs into technical solutions. • Ensure data quality, integrity, and security in compliance with applicable government standards. • Document analytical processes, methodologies, and SQL logic for traceability and reproducibility. • Support ad-hoc data analysis requests and provide actionable insights to leadership. • Contribute to the enhancement of established data workflows and reporting standards to improve scalability, consistency, and usability across contracts.

• Design and build data pipelines that connect to source systems, transform raw data into audit-ready datasets, and enable full-population testing across entities and jurisdictions. • Develop automated test scripts, anomaly detection models, and risk scoring mechanisms that replace manual sampling with continuous, data-driven assurance. • Validate the completeness and accuracy of data used in analytics — you don’t just visualize data, you first prove it matches the source system. • Leverage AI-assisted tools to enhance analytics workflows, from accelerating data extraction and transformation to building smarter detection models. • Partner with SOX testers and operational auditors to translate audit objectives into scalable analytical tests. • Identify opportunities to leverage emerging technologies, including AI-assisted tools, to enhance coverage and efficiency. • Build and maintain dashboards and visualizations that provide Internal Audit and senior leadership with real-time insights into control effectiveness, exception trends, testing coverage, and audit findings. • Design continuous monitoring solutions that shift Internal Audit from periodic, point-in-time testing to ongoing surveillance of control health across critical processes. • Work with Engineering, Data, and Business Operations teams to identify data sources, understand data lineage, and secure timely access to the data needed for audit analytics. • Champion a data-first mindset within Internal Audit. Train auditors on analytics tools, build self-service datasets and documentation, and empower non-technical team members to explore data independently. • Communicate complex data analytical findings clearly to both technical and non-technical audiences, translating data into actionable audit conclusions for senior leadership and the Audit Committee.

• Collect, compile, and integrate media data from multiple sources, including digital platforms, offline media agencies, and internal systems. • Harmonize multi-source datasets across taxonomy, granularity, and timeframes to create structured, analytics-ready data. • Clean, normalize, and de-duplicate datasets to establish a reliable single source of truth for media analytics. • Identify data gaps, inconsistencies, and KPI misalignments, and apply validation checks to ensure data accuracy and completeness. • Build and maintain automated data preparation pipelines using Python and advanced Excel capabilities such as Power Query and Pivot Tables. • Collaborate closely with media, analytics, and measurement teams to ensure data structures align with analytical and business objectives. • Clearly communicate media data concepts and metrics to both technical and non-technical stakeholders.

Role Description The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team. Responsibilities - Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements. - Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team. - Collect, clean, and analyze data from various sources to identify trends, patterns, and insights. - Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva. - Conduct data analyses and modeling to support business objectives and decision-making processes. - Ensure compliance with data governance standards and privacy regulations. - Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics. - Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified. - Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence. Qualifications - Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus. - 2+ years of relevant experience. - Proven experience as a Business Data Analyst or similar role. - Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus. - Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics. - Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively. - Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments. - Effectively manages time with the ability to manage multiple projects simultaneously. - Demonstrates respectful interactions with colleagues at all levels in MedInsight. - Ability to maintain confidentiality of data and information. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 paid holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman.