• Ensure the accuracy, completeness, and reliability of Dodge Content’s project reporting data • Conduct routine audits of project records to ensure accuracy, completeness, and adherence to established data standards • Review sampled Dodge Reports to ensure data reflected on report aligns with the data available • Perform verification calls & emails with architects, contractors, and other project participants to confirm key project details • Analyze audit results to identify data gaps, recurring errors, and opportunities for process improvement • Provide timely feedback to Data Stewards and managers regarding audit outcomes and corrective actions • Maintain detailed documentation of audit findings and contribute to data quality scorecards • Collaborate with the Data Quality Management team to refine audit criteria and improve data governance frameworks • Support process calibration and QA initiatives to drive consistent performance across the Content organization

• Owns the creation and ongoing maintenance of a multi-year data and analytics strategy aligned to enterprise business objectives • Aligns with data governance and stewardship teams to ensure data quality, lineage, metadata, data definitions, stewardship, and certified KPI/reporting standards are consistent with enterprise standards • Establishes a data product mindset for dashboards, semantic models, curated datasets, and reporting solutions, including ownership, lifecycle management, adoption, and support expectations • Partners with business leaders to understand operational needs, identify opportunities for efficiency, and support adoption of enterprise data and analytics solutions • Directs and coordinates resources to support development through an agile methodology • Oversees the implementation and maintenance of enterprise data engineering pipelines and scalable data integration processes • Maintains a transparent backlog of business requests and understands the priority and urgency of each item • Manages time, priorities, and customer expectations across multiple projects • Collaborates with IT and business teams to establish data and design architectures that support long term enterprise goals and requirements • Mentors and develops team members in skills needed to support data and analytics functions, including coding, visualization best practices, application administration, configuration, stakeholder engagement, and business analysis • Builds, leads, and develops direct and indirect team members, including identifying staffing needs, supporting position requests, and participating in the recruitment and selection of qualified candidates • Identifies, communicates, and mitigates risks that may impact delivery timelines, solution adoption, operational stability, or expected business value • Recommends and influences changes to data, reporting, and development standards when needed to improve quality, scalability, or business value • Other duties as assigned

Role Description The Business Intelligence & Analytics Manager will lead the development, and strategic utilization of Winchester's data and analytics environment. This role is responsible for transforming data into actionable business insights that drive decision-making across Supply Chain, Operations, Procurement, Engineering, Finance, and Executive Leadership. - Own the Supply Chain Data Warehouse, analytics platforms, KPI development, and reporting infrastructure. - Proactively identify opportunities related to cost reduction, inventory optimization, productivity, supplier performance, working capital, and supply chain risk. - Combine technical data expertise with strong business acumen to uncover trends, solve complex problems, and support strategic initiatives. Qualifications - Bachelor's degree in Business, Analytics, Information Systems, Engineering, Supply Chain, Finance, or related field. - 5-10 years of experience in analytics, business intelligence, data engineering, supply chain analytics, or related disciplines. - Advanced SQL skills and experience working with large-scale datasets. - Experience with Google BigQuery, Looker, Google Sheets, and modern analytics platforms. - Strong understanding of supply chain, manufacturing, procurement, inventory, or financial processes. - Experience performing data mining, exploratory analysis, and root cause investigations. - Ability to develop business cases and communicate recommendations to senior leadership. - Strong problem-solving, analytical, and communication skills. - Experience supporting manufacturing or industrial environments. - Experience with ERP systems including SAP, Epicor, QAD, Syspro, Syteline, Dynamics, or similar platforms. - Experience with predictive analytics, statistical modeling, or AI-enabled analytics tools. - Experience supporting supply chain transformation, digitalization, or data warehouse initiatives. Requirements - Data & Analytics Leadership: Lead the development, governance, and scaling of the supply chain data warehouse, pipelines, and SQL-driven data models. - Integrity & Migrations: Ensure data accuracy across analytical systems while supporting ERP integrations, migrations, and master data initiatives. - Advanced Data Discovery: Mine and analyze large, cross-functional datasets across supply chain, inventory, and finance to uncover operational risks. - Predictive Insights: Develop predictive and prescriptive analytics alongside executive dashboards to drive strategic decision-making. - KPI Standardization: Partner with Supply Chain, Finance, and IT leaders to define, standardize, and track key business performance metrics. - Strategic Optimization: Model scenarios for inventory optimization, working capital, productivity improvements, and supplier performance. - Resiliency & Visibility: Enhance supply chain traceability and operational efficiency through rigorous data analysis and executive reporting. - Decision Support: Translate complex structures into actionable recommendations and self-service BI tools to enable cross-functional stakeholders. Benefits - Pay range for this position is $110,000 - $135,000 (DOE) per year, plus incentive compensation. - Exact salary will be contingent upon your experience, education, skills, and any other factors considered relevant to the hiring decision.

Role Description As a Data Analyst on the User Analytics & Insights team, you will help cross-functional teams make better decisions through data. This role will support one of two business areas: Marketing or Apps. In either area, you will partner with Product, Marketing, Growth, Engineering, Data, and Business teams to understand user behavior, measure performance, support experimentation, and create reporting that helps teams track progress against key goals. This role is ideal for someone who is highly analytical, comfortable working with large datasets, and able to turn business questions into clear analysis, dashboards, and recommendations. You will be responsible for: - Building and maintaining self-service reporting - Creating user segments - Supporting experiment setup and analysis - Helping stakeholders understand what is happening, why it is happening, and what actions to take next This is a full-time role that can be held from one of our US offices or remotely in the United States. Qualifications - 2+ years of experience in analytics, data analysis, product analytics, marketing analytics, business analytics, or a related field - Strong proficiency in SQL for data manipulation, analysis, validation, and reporting - Experience building dashboards and visualizations in tools such as Hex, Tableau, Looker, Grafana, Mode, or similar platforms - Working knowledge of A/B testing concepts, including hypothesis creation, metric selection, sample sizing, segmentation, and result interpretation - Experience creating user segments, cohorts, or audience groups for analysis, experimentation, reporting, or targeting - Ability to analyze funnels, retention, engagement, conversion, campaign performance, app behavior, or other user/business metrics - Strong attention to detail and ability to identify data quality issues - Strong communication skills, with the ability to explain findings clearly to both technical and non-technical audiences - Ability to manage routine analytical requests independently while escalating ambiguity, blockers, or trade-offs with clear context - Comfort working in a fast-paced environment with evolving priorities and imperfect data Requirements - Experience with dbt or analytics engineering workflows - Experience using Git/GitHub for version control, collaboration, or code review - Experience with Python for data analysis, automation, visualization, or statistical analysis - Familiarity with martech, lifecycle marketing, campaign platforms, CDPs, attribution, or audience activation tools - Familiarity with app analytics, event-based tracking, product instrumentation, feature adoption analysis, or app engagement metrics - Experience partnering with Product, Marketing, Growth, or Engineering teams - Comfort using Google Sheets for collaboration and lightweight analysis Benefits At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $92,331-$108,625. Discover our benefits and how our employees live rewarded at https://fetch.com/careers .