The Role: Our client is a leading data and analytics company focused on improving transportation. They are looking for an Analytics Manager on the Advertising Data Science team; you will be responsible for leading and inspiring a world-class group of data scientists, data engineers and business analytics consultants to develop and deliver their advertising products on both platforms. You are expected to influence the product strategy from a strong analytics lens. You will also help to recruit and lead top talent and have a key voice in the analytics operations.
Responsibilities
- Be a servant leader for technical contributors in Analytics roles engaged with cross-functional product development teams through coaching and mentoring
- Develop strategic analytics visions based on the product needs
- Translate strategic vision into priorities and tangible tracks of backlogs using data science expertise
- Provide technical direction to the team to ensure timeliness and quality of deliverables
- Work with engineering team to productionize our insights in an efficient way
- Get your hands dirty, dive into the data, and run analysis or build models whenever needed
- Drive continuous improvement of data science, and data engineering practices to create world-class capabilities
- Support sales and customer success efforts by demonstrating analytics maturity coupled with humility and empathy
- Build our client’s brand by engaging in conferences, meetups, blogs, and other external public engagements
- Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Requirements & Qualifications
- Bachelor’s degree in Data Science, Geospatial Science, Mathematics, Statistics, Physics, Computer Science, Engineering, or in a related field. A Master’s degree is preferred.
- At least 5 years of industrial experience in marketing data analytics with solid knowledge on digital and programmatic marketing and common KPIs such as CPC, CPM
- Working knowledge on marketing analytics, geospatial analysis, business intelligence, data engineering, machine learning, or other analytics experience in a business context, as well as hands-on experience using various tools such as Python, Spark, Tableau, etc.
- Experience working in cloud-first environments, particularly AWS, EMR studio, Glue, Sagemaker
- Experience of managing technical teams including data scientists, data engineers, and data analysts
- Experience of leading end-to-end data science projects to generate measurable business values
- Demonstrated ability to deliver results on cross-functional projects in marketing campaigns with measurements
- Highly innovative thought leaders who envision and articulate radical change
- Inspires/mentors/coaches people to be bold and do the best work of their careers
- Proven champions of agile product development practices and respected by peers for their technical prowess
- Great interpersonal communicators/collaborators with both technical and non-technical team members