• The Business Analyst will work in conjunction with the Analytics team to develop functional technical requirements at Cornerstone. • Partner with business stakeholders to understand, document, and prioritize analytics and reporting needs. • Translate business requirements into clear user stories, functional requirements, and acceptance criteria. • Maintain structured Business Requirements Documents (BRDs) and backlog items in alignment with Agile practices. • Identify opportunities for process improvements, automation, and data-driven decision-making. • Leverage AI-assisted tools to analyze requirements, identify patterns, and accelerate documentation (e.g., BRDs, user stories, and acceptance criteria). • Perform lightweight data analysis and exploratory validation using SQL, Excel, or other tools. • Develop quick-turn, non-complex reporting solutions using Power BI, Excel, and SQL, and leverage AI-assisted features to accelerate dashboard creation, enhance visualizations, and enable natural language-based data exploration. • Support stakeholders with self-service analytics solutions and rapid insights. • Validate data accuracy across UAT and production environments. • Utilize AI-enabled analytics capabilities to accelerate data exploration, identify trends, and generate actionable insights. • Act as a liaison between business users, data engineers, and developers. • Build strong partnerships with cross-functional teams including IT, Data Warehouse, and Operations. • Facilitate requirement discussions, backlog grooming sessions, and alignment meetings. • Communicate complex data insights in a clear, concise, and business-friendly manner. • Participate actively in Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives). • Manage and prioritize backlog items in tools such as Azure DevOps. • Ensure deliverables align with business goals, timelines, and quality standards. • Support iterative development and continuous improvement of analytics solutions. • Develop and execute test plans and test scenarios for analytics solutions. • Lead or support UAT activities, ensuring business readiness and validation. • Manage defects, issues, and enhancements through structured tracking processes. • Ensure data integrity, accuracy, and consistency across systems. • Ensure analytics solutions deliver measurable business value and adoption. • Identify and address data gaps, inconsistencies, and improvement opportunities. • Promote best practices in data governance, quality, and reporting standards. • Continuously identify opportunities to enhance analytics processes and delivery efficiency through AI adoption.

Role Description In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization. What You’ll Do - Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting - Leverage SQL to retrieve, transform and prepare data for robust analyses - Present findings to executive-level digital, marketing and merchandising leadership - Develop best practices for BI and Self Service - Directly query data in the Google Cloud Platform across different environments to prepare data for analytics - Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid - Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics - Additional tasks may be assigned Qualifications - 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization - Advanced proficiency in SQL - Expertise in Qlik, Tableau, PowerBI or Looker Studio - Experience in Adobe Clickstream, Adobe Analytics - Experience working directly with business stakeholders to translate between data and business needs - Highly effective at communicating analysis and data visualizations with a non-technical audience - Proven ability to independently determine approaches to efficiently completing projects and managing processes - Knowledge of statistical analysis methods - Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Requirements - Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar (Preferred) - Experience with an object-oriented programming language (R, Python etc.) (Preferred) - Ability to write functions and end-to-end programs (Preferred) - Experience with Data Mining and Machine Learning methodologies (Preferred) - Experience with Google BigQuery (Preferred)

Role Description As an Intelligence Analyst supporting the Department of Homeland Security (DHS) Office of Inspector General (OIG), you will help to promote excellence, integrity, and accountability throughout the department charged with keeping Americans safe and secure. You will work closely with DHS OIG Auditors in support of their audits and investigations. Your efforts will contribute to the elimination of waste, fraud, and abuse in the federal government, ensuring Americans’ tax dollars are spent efficiently and effectively. Join FWI in supporting DHS’s internal watchdog efforts, enabling the department to make our nation more safe and secure from internal and external threats. Position is contingent upon contract award Work Schedule and Location: - Remote: This full-time remote position will work Monday through Friday, 8am to 4pm. Responsibilities - Support audits of a complex, highly sensitive and investigative nature. - Produce Intelligence Analysis Reports, including supporting graphs, figures, and charts. - Write reports in accordance with DHS OIG audit procedures and the Government Accountability Office’s Yellow Book standards. - Prepare various types of reports, briefings, and testimony. - Conduct research for and prepare proposals for various types of DHS audits. - Conduct investigative research and analysis. - Use databases to investigate misconduct and fraud allegations. - Investigate claims suspected of being fraudulent. - Perform discovery and analysis in support of criminal investigations, write investigative action reports, and review closed investigations to conduct data trend analyses. - Develop new approaches where no precedents exist and creative solutions to any problems encountered. Qualifications - B.A. or B.S. in Intelligence Studies, Political Science, Criminal Justice, Computer Science, Economics, or a similar field of study. - The ability to obtain a TS/SCI security clearance. - Report-writing experience. - Experience researching and analyzing information drawn from a variety of sources, such as programs, case studies, and policies, to draw conclusions and write reports. Requirements - M.A. or M.S. degree in one of the aforementioned fields of study (desired). - An active TS/SCI security clearance (desired). - Experience supporting or conducting audits for a federal government agency (desired). Benefits - Health Insurance - Dental Insurance - Vision Insurance - Long-term and Short-term Disability Insurance - Life Insurance - 401(k) Plan - Holiday Pay - Paid Time Off FWI is an Equal Opportunity Employer, including disability/vets. Pay Range Negotiable

• Define and lead business intelligence strategy by aligning enterprise data, analytics, and reporting priorities with digital transformation goals and measurable business outcomes. • Guide data engineering and architecture by overseeing Azure Data Factory (ADF), Databricks, Azure SQL, Data Lake, and related platform capabilities to deliver secure, scalable, and reliable data solutions. • Build and standardize Power BI reporting by establishing dashboards, reports, semantic models, and workspace practices that support consistent metrics, self-service analytics, and effective data storytelling. • Strengthen data governance by partnering on data quality, lineage, metadata, stewardship, and access controls to improve trust, compliance, and usability across enterprise data assets. • Lead and develop multidisciplinary teams by setting clear priorities, supporting collaboration, and maintaining disciplined execution across data engineering, analytics, visualization, and project delivery work. • Manage business intelligence programs by maintaining roadmaps, tracking key performance indicators, resolving delivery risks, and coordinating internal teams and external partners toward meaningful results. • Partner with business and technology leaders by translating operational needs into practical analytics solutions that improve decision-making, performance visibility, and continuous improvement.