• Own marketing's funnel metrics and performance standards - defining consistent definitions for MQLs, pipeline contribution, conversion rates, and channel ROI across the org. • Build and maintain dashboards for channel owners, campaign managers, and marketing leadership across HubSpot, Salesforce, and BI tooling; automate recurring reports to reduce manual overhead and increase visibility. • Establish standardized reporting cadences - weekly, monthly, and quarterly - and ensure metrics roll up consistently across teams. • Proactively surface performance trends, anomalies, and opportunities; develop executive-level reporting that translates marketing performance and ROI into clear narratives leadership can act on. • Build and maintain spend vs. pipeline impact models and monthly insight briefs that support investment decisions and flag what the team should pay attention to next. • Partner with marketing leadership during planning cycles to model forecast scenarios, validate targets against historical data, and serve as the analytical voice in budget discussions with RevOps and Finance. • Build and operationalize a measurement framework for marketing tests and pilots - defining success metrics upfront, tracking outcomes rigorously, and delivering what-if analyses that support strategic channel and investment decisions. • Maintain campaign tracking infrastructure in partnership with RevOps: UTM conventions, CRM campaign setup, naming standards, and attribution logic - and advocate for marketing's measurement needs in cross-functional system discussions. • Maintain a shared glossary of marketing metrics and data definitions; partner with RevOps on data enrichment initiatives to keep contacts, accounts, and opportunities complete. • Train channel owners on self-serve dashboards, build audience segmentation reports, and act as marketing's representative in data governance discussions. • At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.

• Build and Own the Analytics Products • Design, build, and maintain the curated data sources, dashboards, and reports that drive operational decision-making across our programs. • Own each product end to end — from requirements through building, documentation, training, and ongoing enhancement. • Write the SQL and Shape the Data Model • Develop, optimize, and maintain SQL against our cloud data environment. • Partner with data engineering to expose the data you need, and contribute to a sustainable, well-structured analytical layer. • Articulate data requirements clearly and build for performance and reuse. • Automate Recurring Reporting • Build and maintain Python-based reporting pipelines for recurring operational, compliance, and quality deliverables. • Validate rigorously — reconcile numbers to source, QA before release, and stand behind the figures you publish. • Document, Train, and Maintain • Produce clear documentation for the data sources and dashboards you build. • Train and enable the people who use them. • Maintain a prioritized backlog of enhancement requests and re-prioritize as the business needs shift.

Role Description Ardurra is looking to hire a Data Analytics Manager to join our team in Dallas, TX! This position is open to remote applicants, preferably near major Ardurra offices. The Data Analytics Manager will lead the development of Ardurra’s enterprise data platform, analytics capabilities, and business intelligence strategy. This role is responsible for building a trusted, scalable data foundation that enables informed decision-making across the organization. - Working closely with business leaders and technology teams. - Architect and implement modern data platforms. - Develop enterprise reporting and analytics capabilities. - Establish best practices for data governance and quality. - Partner closely with the AI & Digital Innovation Manager. Qualifications - Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. - 6–10 years of experience in data engineering, business intelligence, analytics, or enterprise data platform development. - Hands-on experience with Microsoft Fabric, Azure Data Services, Power BI, SQL, and enterprise data architecture. - Strong experience building enterprise data lakes, data warehouses, ETL/ELT pipelines, and semantic models. - Experience with Workato or similar enterprise integration platforms. - Strong understanding of APIs, enterprise integrations, and cloud-based data platforms. - Experience establishing enterprise data governance and data quality practices. - Excellent communication skills with the ability to engage both technical and business stakeholders. Requirements - Develop and execute Ardurra’s enterprise data and analytics strategy aligned with business priorities. - Translate business objectives into scalable data, reporting, analytics, and automation solutions. - Partner with business leaders across various departments to identify data-driven opportunities. - Establish a roadmap that advances enterprise reporting, analytics, and data maturity. - Balance strategic planning with hands-on technical delivery. - Design, build, and manage Ardurra’s enterprise data platform utilizing Microsoft Fabric, Azure Data Services, and related technologies. - Develop and maintain enterprise data lakes, warehouses, semantic models, and modern data architectures. - Build scalable ETL/ELT pipelines that deliver trusted, high-quality data across the organization. - Optimize platform performance, scalability, reliability, and security. - Establish enterprise data governance standards and best practices. - Define data ownership, stewardship, quality, and lifecycle management processes. - Leverage Workato as the enterprise integration platform to connect business applications and streamline data movement. - Develop enterprise dashboards and executive reporting utilizing Microsoft Power BI. - Partner closely with business stakeholders, application owners, and IT teams to deliver enterprise data solutions. Benefits - Competitive compensation. - Comprehensive benefits package. - Collaborative, people-first environment. - Opportunities for career growth through Ardurra Academy and Leadership Development Programs. Company Description Ardurra is a multidisciplinary civil engineering services firm providing innovative solutions to public and private sector clients across the United States. We leverage the depth of our technical expertise, collaborative culture, and integrated service model to deliver practical solutions that improve the communities we serve. We are committed to creating opportunities for our employees to grow both personally and professionally. Our teams contribute to some of the nation’s most impactful infrastructure projects, making a meaningful difference in the lives of the people and communities we support.

Role Description We’re looking for a data-driven, proactive Lead Web Analytics Analyst for a part-time position to join our team. Someone who thrives on turning complex web and business data into actionable insights. This role is centered on advanced web analytics, tracking architecture, and data integration, using data as the foundation to drive performance across B2B digital initiatives. - Lead the Web Analytics Data Architecture: Ensure high attention to detail in data collection, implementation, and reporting, including Server-to-Server (S2S) tracking/CAPI and integrating web analytics with advertising and CRM platforms. - Generate Actionable Insights: Analyze company-wide data from multiple sources, providing actionable insights to improve traffic quality, attribution accuracy, performance, and ROI. - Data Integrity & Auditing: Serve as the gatekeeper for data quality, continuously auditing tracking setups, identifying discrepancies, and ensuring accurate full-funnel measurement. - Leverage AI for Efficiency: Use AI-driven analytics tools to automate reporting, detect anomalies, uncover trends, and enhance predictive insights. - Collaborate and Communicate: Collaborate with cross-functional teams (Marketing, Product, Media, SEO) to drive data-informed decision-making. Present findings and tracking recommendations clearly to stakeholders, helping teams translate insights into action. Qualifications - 3+ years of experience in advanced web analytics and data analysis, preferably in a B2B environment. - Deep Expertise in Google Analytics (GA4) including implementation, tracking configuration, and data modeling, encompassing the capability to implement GA4 and derive actionable insights (utilizing dashboards, reports, and our internal BI system). - Advanced hands-on experience with Google Tag Manager (GTM), server-side tagging, and Consent Management Platform (CMP) systems. - Expertise in Pixel/S2S integrations with advertising platforms (e.g., Facebook, LinkedIn, Google Ads). - Familiarity with AI-driven analytics and data visualization tools - A must. - Hands-on experience with alternative analytics platforms; Adobe Analytics experience is a plus. - Strong ability to work with multiple datasets, identify patterns, map user journeys, and generate actionable technical recommendations.