Marketing Science, Senior Analyst

Marketing Science, Senior Analyst

San Jose

As a Marketing Science, Senior Analyst, your curiosity never ends. You'll be the data detective for an Automotive OEM brand, turning numbers into narratives and driving digital experiences to new heights. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project.

You bring three to five years of experience, leading marketing science deliverables across a broad range of initiatives and focusing on at least three of the following areas: tracking and measurement, implementation, reporting, data strategy, data engineering, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience using data analytics to recommend solutions to improve digital marketing performance, enjoy collaborating with others, and are capable of directly communicating business insights to clients through logical, easy to understand stories.

You will:

• Build deep knowledge of client business, make relevant recommendations, identify actionable insights.
• Conduct in-depth analysis of complex site, app and media related data sets to uncover trends, patterns, and correlations.
• Develop and implement advanced statistical models and machine learning algorithms to solve business problems and optimize processes.
• Lead the ideation, development, and execution of measurement strategies and frameworks.
• Focus on developing expertise in measurement and strategy, involving the analysis of site related data to uncover insights, optimize performance, and drive strategic decisions.
• Additionally, you'll be responsible for devising strategies to enhance the user experience, improve app functionality, and analyze in-app survey results using NLP (natural language processing) and AI tools.
• Document data usage, gather requirements, and build/maintain dashboards to meet multiple teams' needs.
• Support analytics tool implementation by defining, implementing, and validating tracking and data gathering strategies.
• Gather data through various third-party platforms. Implement data governance protocols to ensure the integrity, security, and privacy of app-related data, adhering to industry best practices and regulatory requirements.
• Create and maintain databases and data systems, ensuring completeness and accuracy of inputs and performing quality checks throughout.
• Challenge the status quo, looking for ways to continuously improve.
• Provide work direction to associate analysts and analysts.
• Participate in code reviews, coaching junior team members and improving data literacy within the organization.
• Occasionally contribute analytics content for pitch materials and RFPs (Requests for Proposal.)
• Opportunity to build and work on AI tools to impact business results

Experience:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
• Expertise in with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, analytics tool implementation.
• Experience with Python, R, SQL, or other business-relevant statistical programming language.
• Experience working within AWS infrastructure (Redshift, S3.) and Google Cloud Platform (GCP)
• Experience with one or more visualization platforms (Tableau, Domo, Power BI, Datorama, etc.). Tableau experience a plus.
• Experience with website measurement; either Google Analytics or Adobe Analytics, including tag management platforms (GTM, Adobe Launch, Tealium, etc.,) and one or more testing platforms (Optimizely, Adobe Target, etc.). Adobe analytics experience is a plus.
• Strong verbal and written communication skills, attention to detail, and high standard of output.
• Problem-solving skills: the ability to thrive in the face of ambiguity and move projects forward by actively removing barriers and defining next steps.
• 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.

What we offer:

• Maternity and parental leave extra days
• Competitive benefits packages
• Vacation, compassionate leave, sick days, and flex days
• Access to online services for families and new parents
• Diversity and Inclusion Board with 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• And more

At Critical Mass, we value our employees and offer competitive compensation and benefits packages. If you're looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!

The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

The ask stems from our want to:

• Strengthen opportunity for continuous learning
• Improve collaboration and team relationships.
• Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.

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.