Swooped · 4 hours ago
Manager, Data Analytics
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Responsibilities
Lead and mentor a high-performing team of data analysts, fostering a collaborative and innovative environment.
Develop and maintain advanced analytics and reporting frameworks to provide actionable insights to stakeholders.
Collaborate with cross-functional teams, including revenue, finance, marketing, product, and engineering, to define and prioritize data science initiatives.
Present findings and insights to stakeholders, translating complex data into clear and actionable recommendations.
Stay current with the latest developments in data science, machine learning, and the AdTech industry to continuously improve capabilities and inform strategic decisions.
Ensure compliance with data privacy regulations and maintain the highest data integrity and security standards.
Collaborate with data engineering leadership to enable accurate, timely, and actionable data foundations for analytics projects.
Work with project and product management teams to set measurable KPIs at the project and product level.
Availability to travel to on-site locations for team retreats, leadership meetings, and annual all-hands events approximately 15% of the time.
Qualification
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Required
Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, or a related field.
7+ years of progressive experience in an analytics or related role.
3+ years of proven experience leading and managing a team of data analysts in a remote environment.
Experience with machine learning, modeling, algorithms, and knowledge extraction.
Experience working with advanced data pipelines.
Strong proficiency with data visualization tools (e.g., Looker, Domo, Tableau) and reporting platforms.
Strong proficiency in SQL and database programming.
Experience in programming languages such as Python and/or R.
Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
Excellent analytical and problem-solving skills.
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Demonstrated ability to influence strategic decisions through data-driven insights.
Ability to work collaboratively in a fast-paced, dynamic, remote environment, balancing multiple projects and deadlines.
Availability to travel to on-site locations for team retreats, leadership meetings, and annual all-hands events approximately 15% of the time.
Preferred
Experience with MLOps using Azure ML, ADF, Databricks, Google Cloud, or AWS.
Exposure to data privacy regulations (e.g., GDPR, CCPA) and best practices.
Understanding of the AdTech industry.
Benefits
Comprehensive benefits including Health, Dental, Vision, and 401k match.
Generous paid time off.
Wellness and Home Office Perks.
Up to 12 weeks of paid Parental Leave.
Inclusive Family Forming Benefits.
Professional development opportunities.
Travel opportunities for teams, including an annual all-hands retreat and industry events.