• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance. • Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes. • Maintain the PLM system's performance, security, and reliability as the system of record for all products. • Ensure the accuracy, consistency, and security of PLM data across all platforms. • Develop and implement data management practices to improve data quality and accessibility. • Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes. • Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives. • Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility. • Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs. • Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Role Description The Data Analyst, Advertising Insights & Strategy is an entry-level role built for someone early in their career who wants to grow into a client-facing analyst. You'll support our custom analytics engagements, including our work for major enterprise accounts, by pulling and organizing enriched competitive advertising data, surfacing creative assets, and building the first pass of analysis that our client-facing analysts use to shape their recommendations. This role is horizontal across the business, meaning you'll support multiple accounts and projects rather than a single client, and it's designed to build the skills needed to grow into a more senior, client-facing analyst role over time. Responsibilities - Data Analysis & Reporting Support (≈60%) - Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects. - Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground. - Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually. - Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story. - Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team. - Cross-Account Support & Growth (≈40%) - Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases. - Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery. - AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment. - Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role. - Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time. Qualifications - Education: Bachelor's degree in Business Analytics, Marketing, Communications, Media, Data Science, or a related field (recent graduates encouraged to apply). - Experience: 0–1 years of professional experience; relevant internships, coursework, or project experience in analytics, marketing, or media are a plus. No prior advertising industry experience required. - Technical Curiosity: Comfortable working with data and spreadsheets (Excel/Google Sheets); interest in or exposure to data visualization tools (e.g., Tableau) is a plus. - AI Fluency: Genuine interest in using AI tools like Claude to work more efficiently, paired with the judgment to know when to double-check its output. - Communication: Strong writing and organizational skills; able to summarize findings clearly for a technical, internal audience. - Aptitude: Detail-oriented, curious, and eager to learn; comfortable managing a few different assignments at once and asking questions when needed. Preferred Skills - Analytical Coursework or Projects: Prior exposure to market research, media, or advertising concepts through coursework, internships, or personal projects. - Growth Mindset: Interest in eventually moving into a client-facing analyst or strategy role. - Adaptability: Comfortable jumping between different accounts and types of analysis rather than specializing in one vertical right away. Benefits - Medical, Dental & Vision Insurance - 401k with Company Match - Flexible PTO - Commuter Benefits - Gym Discounts - Summer Fridays

• Support recurring performance reporting, including daily, weekly, and monthly packages that show leadership where our programs stand. • Build and maintain dashboards and scorecards (in Retool and BI tools) tracking leading indicators, SLA pacing, and operational performance across payer programs. • Pull, validate, and QA data from operational systems to ensure reporting is accurate before it reaches leadership. • Support clinical performance reporting across medication adherence, post-discharge visit completion, care gaps, and quality measures (HEDIS, Stars), surfacing the signal for clinical partners. • Investigate missed targets, unexpected trends, data discrepancies, and reporting issues to identify root causes and improve reporting accuracy. • Build, maintain, and QA workflows, lists, and properties to support Care Ops reporting and program operations. • Maintain clean, consistent, and reporting-ready data to ensure reliable reporting and dashboards. • Support new reporting requirements and operationalize program changes as contracts and programs evolve. • Flex to team priorities and take on new analytical and operational tasks as they emerge.

• Own the analysis that informs marketing programs • Measure and evaluate marketing performance and support demand generation • Develop and maintain measurement plans with benchmarks for campaigns • Monitor performance and develop insights for optimizations • Own and improve marketing data systems and reporting • Manage list segmentation and scoring for targeted messaging • Oversee marketing side of lead management processes • Identify and document scalable processes for marketing effectiveness