• Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making • Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders • Visualizations: you will help us to see and understand our data in a way that makes sense, creating automated dashboards and funnels for various internal teams • Hard Questions: You’ll be taking our data and using it to answer business questions, drive strategy and decision making. This will include running experiments and impact analysis to understand the effects of changes, drawing conclusions from data, and tying insights back to key business metrics or KPIs. You’ll also explore user behaviour patterns to make informed recommendations that improve product performance and reduce risk.

Role Description The contractor shall perform the following tasks: - Support the fishery management actions necessary to enable rapid fulfillment of the requirements of the Seafood Executive Order. - Support the economic analysis for fisheries management actions resulting from the Seafood EO, including but not limited to: - Conducting Regulatory Impact Review analyses. - Developing fishery descriptions. - Conducting Regulatory Flexibility Analysis reviews (including Section 610 reviews). - Conducting Small Business entity analyses. - Assessments including, but not limited to, cost-benefits of proposed management options, addressing: - Fisheries bycatch and discard issues. - Capacity. - Protected species issues. - Habitat protection restrictions. - Social impact assessments. - Provide fisheries management input to the Office of Science & Technology’s Trade Dashboard in support of the Seafood EO. - Evaluate the effects of allocation options between commercial and recreational sectors; within sectors. - Evaluate surveys and research of socioeconomic impacts of management actions and disasters on fishing communities, including: - General public. - Fishing businesses. - Crew. - Aquaculture operations. - Marine-related businesses. - Seafood-business employees. - Evaluate comparative analyses of fishing labor trends. - Technical editing of economic input to fishery management actions in support of the Seafood EO. - Evaluation of decision support tools, including: - Bio economic models. - Integrated ecosystem models. - Angler behavioral models. - Seafood markets and trade. - Aquaculture. - Fisheries economic impact models. - Provide support for socio-economic analyses for fisheries management actions for which NOAA is responsible. Deliverables The contractor shall submit the following deliverables under Task 2: - Economic analyses for fishery management actions. - Progress report including: - Accomplishments. - Issues encountered. - Travel (including purpose, significant outcomes, action items). - Recommendations, if applicable. - Trade Dashboard Data & Technical Inputs: Validated economic data sets and analytical summaries provided to the Office of Science & Technology to populate the Seafood EO Trade Dashboard. - Regulatory Impact Review (RIR) & Regulatory Flexibility Analysis (RFA) Reports: Comprehensive analysis of the economic costs, benefits, and impacts of proposed fishery management actions on small business entities (vessels, processors, and aquaculture). - Socio-Economic Impact Assessments (SIA): Detailed reports quantifying the effects of management options on fishing communities, including data on labor trends, crew participation, and impacts on marine-related businesses and the general public. - Fishery Management Action Technical Edits: Polished economic sections within larger fishery management documents, ensuring all inputs meet NOAA/NMFS leadership standards for clarity and statutory compliance. Qualifications - Experience in economic analysis related to fisheries management. - Strong analytical skills and attention to detail. - Ability to work independently in a remote environment. Requirements - Full-Time employment. - Remote position. Benefits - 401(k) - Competitive salary - Dental insurance - Health insurance - Vision insurance

• Gather, analyze and document business and data requirements from stakeholders across enterprise domains • Manage and prioritize incoming data-related requests, tickets and business needs • Translate business requirements into clear data requirements to support ingestion and transformation processes • Support the development and expansion of enterprise-level data products and gold-layer datasets • Collaborate with data architects, engineers and delivery leads to ensure alignment between business objectives and technical solutions • Collect and document data quality rules, metadata and catalog descriptions for new data ingestions • Work with governance and stewardship teams to support data lineage, quality and cataloging initiatives • Facilitate communication between business stakeholders and technical delivery teams • Contribute to continuous improvement initiatives across data delivery and operational processes • Support Agile ceremonies, backlog refinement and workflow management activities • Participate in cross-functional discussions related to data modeling, transformation logic and platform capabilities

• Lead and support end-to-end analytics processes including data acquisition, transformation, analysis, and reporting. • Manage and optimize data workflows within the Databricks platform to improve efficiency, performance, and cost management. • Analyze key business performance metrics such as CTP, CVR, engagement, and funnel performance to identify trends and optimization opportunities. • Investigate data trends, user behavior, and performance issues to identify root causes and recommend solutions. • Translate analytical findings into clear business requirements for A/B testing, funnel optimization, and product improvements. • Collaborate with data engineering and cross-functional teams to resolve data discrepancies and ensure data accuracy across systems. • Document business and technical requirements for roadmap initiatives, data tagging enhancements, and technical refresh projects. • Support strategic planning for data initiatives, including KPI tracking, reporting, and performance measurement. • Work closely with stakeholders to align analytics solutions with business goals and priorities.