Aimed at mid-level analysts in marketing or data science who are eager to learn and collaborate, with a focus on digital performance and data storytelling in the automotive industry.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Critical Mass via Greenhouse
As an Associate Analyst, your curiosity drives you to uncover insights and solve data puzzles for an Automotive OEM brand. You’ll help turn numbers into actionable stories that enhance digital experiences. You’re always asking the next question, eager to see how marketing science fits into the bigger picture of each project.
You will learn the day-to-day activities of the marketing science program and support the team in delivering impactful analyses and reports. Your main objective will be to build on your existing skills while learning new measurement methods and tools to capture, assemble, and organize data into meaningful insights. You’re comfortable using data analytics to support recommendations that improve marketing performance, enjoy collaborating with team members, and can help communicate business insights clearly and logically to clients.
You Will:
Build a deep understanding of client business and digital performance, supporting the identification of actionable insights and making relevant recommendations to drive results.
Collect, organize, and analyze complex data sets from websites, apps, social, and media platforms using web analytics, survey tools, and mobile measurement technologies.
Develop tagging requirements, validate tracking, and conduct data quality assurance, partnering with Technology teams to document and resolve issues.
Contribute to measurement strategy and framework development, gradually building expertise in using analytics to inform optimization and strategic decisions.
Generate and interpret reports and dashboards in Excel, Tableau, or DW/BI systems, performing ongoing data quality checks and supporting multiple teams’ needs.
Conduct in-depth analysis to uncover trends, patterns, and correlations in site traffic, search, and e-commerce data, using statistical and data science tools (e.g., R, Python, GitHub).
Assist in segmentation, market share, and survey analysis, and help present findings clearly to both internal and client teams through data storytelling.
Support the design and analysis of A/B testing, providing insights that optimize site, app, and media performance.
Learn to apply advanced methods such as statistical modeling, machine learning, and AI tools - including natural language processing - to solve business problems and optimize processes.
Document requirements, implement data governance protocols, and help ensure data integrity, privacy, and compliance with industry standards.
Participate in continuous improvement efforts, challenging the status quo and exploring opportunities to enhance user experience, site/app functionality, and reporting processes.
You Have:
An interest in marketing and data analytics.
B.S. degree in a quantitative or technical field. Including but not limited to: economics, mathematics, business, finance, social sciences, computer science, or information management.
Proficiency with Microsoft Excel and PowerPoint, with strong verbal and written communication skills.
Experience with any website measurement tool (Google Analytics or Adobe Analytics or any other)
Experience with any tag management platforms (GTM, Adobe Launch, Tealium, or any other).
Experience with any visualization platforms (Tableau, Domo, PowerBI, Datorama, etc.).
Strong verbal and written communication skills, active listening skills, attention to detail, and high standard of output.
An eagerness to learn and proactive communication style.
Basic working knowledge of Python, R, SQL or other statistical programming language.
Media/Marketing:
An understanding of the media landscape, ability to determine which channels are most appropriate based on business objectives, and experience using the data to make recommendations.
An understanding of how Search Engine Optimization (SEO) works alongside other channels, and experience analyzing it.
Critical Mass is an equal opportunity employer.
Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.
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