Marketing Analytics Consultant
CohereSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Digital Marketing, Web Analytics, Data EngineeringIndustries
Requirements
Candidates should possess knowledge around shortening development lead time and improving data development lifecycle, along with good experience with Relational and NoSQL databases. Excellent problem-solving and analytical skills are required, including the ability to design innovative solutions, and strong communication and collaboration skills for effective teamwork. Familiarity with Scrum, Kanban, or other agile frameworks is desired, alongside digital marketing experience and proven experience in Web Analytics and Data Engineering. Proficiency in Google Analytics 4 and Google Tag Manager, including hands-on implementation and configuration, strong knowledge of SQL, and experience with Big Query are necessary, as well as the ability to communicate and interact with stakeholders.
Responsibilities
As a Web Analytics specialist, you will be responsible for implementing and maintaining tracking codes, tags, and events using Google Tag Manager to monitor user behavior, conversions, and relevant metrics, configuring and setting up Google Analytics 4 properties, and ensuring accurate data collection for web and mobile applications. You will collaborate with cross-functional teams to ensure the availability, reliability, and accessibility of data assets, enabling the organization to extract actionable insights and deliver high-impact solutions.
Skills
Google Tag Manager
Google Analytics 4
SQL
Relational Databases
NoSQL Databases
BigQuery
Data Engineering
Web Analytics
Data Lifecycle
Stakeholder Communication
Agile Frameworks (Scrum, Kanban)
Mineral
Develops AI tools for sustainable agriculture
About Mineral
Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.
Key Metrics
Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees