Role Description We are seeking a Sr. Staff Technical Marketing Analyst with deep hard disk drive (HDD) technology and manufacturing expertise to support the Technical Marketing organization. This role requires a first-principles understanding of HDD architecture, physics, component functions, and system-level behavior, combined with strong analytical, modeling, and communication skills. The position operates at the intersection of HDD technology development, manufacturing operations, product strategy, finance, and commercial teams. The successful candidate will translate technology choices, manufacturing realities, and cost structures into clear, defensible insights that inform product roadmaps, competitive positioning, pricing analysis, and investment decisions. This role is expected to bring unique technical insight that materially strengthens business, pricing, marketing, competitive, and portfolio analysis, particularly at senior and executive decision levels. Qualifications - Extensive experience in roles involving technical modeling, systems analysis, or technology strategy. - Deep understanding of HDD architecture, physics, and manufacturing processes. - Strong quantitative and analytical skills, with experience building and maintaining structured models. - Strong understanding of the HDD competitive marketplace and ability to translate understanding into competitive market and cost/value competitiveness. - Ability to work effectively with ambiguous requirements and incomplete data. - Excellent written and verbal communication skills, including experience presenting to senior stakeholders or external customers. - Demonstrated ability to collaborate and influence across a variety of technical and business organizations, including engineering, operations, sourcing, marketing, finance, and sales. Requirements - Experience working directly in storage industry/devices, hardware platforms, infrastructure systems, or large-scale technology deployments. - Familiarity with storage market system total cost of ownership analysis. - Bachelor’s or Master’s degree in Engineering, Applied Sciences, Operations Research, or equivalent experience. Benefits - Eligibility to participate in discretionary bonus program. - Medical, dental, vision, and life insurance. - Short-and long-term disability. - 401(k) plan. - Employee stock purchase plan. - Health savings account. - Dependent care and healthcare spending accounts. - Paid time off, including 12 holidays. - Flexible time off provided pursuant to Seagate policy. - A minimum of 48 hours of paid sick leave. - 16 weeks of paid parental leave. Company Description Seagate is able to offer virtual employment for this position in the following states: AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, MA, MD, MI, MN, MO, NC, NH, NJ, NM, NY, NV, OH, OK, OR, PA, SC, SD, TN, TX, UT, VA, WA, WI, WY. The estimated base salary range for this position is $145,000 - $210,000. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.

Role Description You'll analyse campaign performance, build client-facing reports and help the team identify optimisation opportunities across paid channels. Working alongside account managers and media buyers, you'll track KPIs, run weekly reporting, investigate performance anomalies and contribute to monthly strategy reviews. - Build and maintain weekly and monthly client performance reports - Analyse campaign data across Google Ads, Meta and TikTok - Investigate performance drops and identify optimisation opportunities - Build dashboards in Looker Studio for client and internal use - Support A/B test measurement for ad creative and landing pages Qualifications - Hands-on experience with Google Ads and Meta Ads Manager - Strong Excel or Google Sheets skills for data manipulation and reporting - Familiarity with GA4 and UTM tracking - You can explain performance trends clearly to clients in writing - Good async written communication Requirements - Google Ads or Meta Blueprint certification (nice to have) - Experience with Looker Studio or similar BI tools (nice to have) Benefits - $700–$1,050 USD/month, paid monthly - Fully remote – work from anywhere - Flexible hours - $500/year learning budget - Home office equipment stipend

• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. • Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. • Design and maintain data models that consolidate data from multiple marketing platforms and sources. • Map and document data flows across complex, multi-source schemas. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. • Manage and enhance data transformations with dbt. • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. • Use Git for version control and collaboration.

• Support end-to-end execution of consumer giveaway campaigns, coordinating with cross-functional team members to take the campaign from idea to live in-market. • Analyze post-campaign performance report and summary results for the marketing team, providing learnings & recommendations to improve results for future campaigns. • Analyze top performing communication, creative & channel for ongoing optimization in CRM Tool (e.g. Braze). • Compare performance across time periods (e.g. pre/post campaign, week-over-week) and flag meaningful shifts. • Monitor and report on campaign performance using dashboards and structured reporting templates, with key metrics including: DAU, NTM, LTV, CAC, Open/Click-through/Conversion Rates. • Assist in data pull & recommendation on optimizing future campaigns. • Track campaign & merchant performance across channels and flag optimization opportunities to support DAU & App Conversion. • Partner with the Merchant team to identify opportunities to collaborate with marketing to drive app installs directly from merchants. • Conduct market research comparing our programs against industry standards with competitor analysis.