Lead a team of data professionals, partner with executives, and drive data-driven decision-making. Develop and implement analytics strategy, leverage Looker, and ensure data quality and governance. Build a high-performing organization across analytics, data engineering, and data science.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Manager, Data Analytics & Data Science
Location: Remote (U.S.)
Time Zones: CST / MST preferred
Industry: Telecom (confidential client)
We’re partnering with a well-established, growth-stage technology company on a confidential search for a Manager of Data Analytics & Data Science. This role sits at the center of data-driven decision-making and will play a critical part in modernizing analytics, scaling data science capabilities, and enabling business leaders with actionable insights.
A key focus of this role will be leveraging Looker to empower the organization with trusted, accessible, and actionable data.
This is a hands-on leadership role for someone who enjoys building teams, setting technical direction, and partnering closely with executives and stakeholders across the business.
What You’ll Do
Team Leadership & Growth
- Lead, mentor, and develop a growing team of analytics and data science professionals.
- Build and scale a high-performing organization across analytics, data engineering, and data science.
- Establish best practices around analytics, modeling, experimentation, and visualization.
- Support hiring, onboarding, and long-term professional development of team members.
Strategy & Delivery
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- Partner with senior leaders to define analytics and data science strategy aligned to business goals.
- Identify high-impact opportunities where data can improve operations, efficiency, and decision-making.
- Own delivery of end-to-end data initiatives—from discovery through execution and adoption.
- Balance near-term business needs with longer-term platform and capability development.
Technical Oversight
- Provide technical guidance across analytics, BI, and data science workflows.
- Ensure data quality, governance, and reliability across reporting and models.
- Drive adoption and best practices around Looker, ensuring dashboards and insights are scalable, trusted, and widely used.
- Stay current on emerging trends in analytics, data science, and cloud data platforms.
Stakeholder Engagement
- Serve as the bridge between technical teams and non-technical stakeholders.
- Translate complex analyses into clear, actionable insights for executive audiences.
- Influence business decisions through strong data storytelling and visualization, frequently delivered through Looker.
What We’re Looking For
Required
- Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Math, Economics, Engineering, or similar).
- 4–7 years of experience in analytics, data science, or business intelligence.
- 3–7 years of people management experience, including mentoring and developing data professionals.
- Strong SQL skills and experience working with large datasets.
- Proficiency in Python or R.
- Hands-on experience with BI and visualization tools; strong Looker experience is highly preferred.
- Excellent communication skills and comfort working with senior leadership.
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Preferred
- Experience with modern cloud data platforms (e.g., BigQuery, Snowflake, Redshift).
- Familiarity with data warehousing and ETL/ELT concepts.
- Exposure to data governance, quality frameworks, and best practices.
- Experience integrating data from multiple business systems into a centralized analytics environment.
Why This Role
- Opportunity to build and lead a growing data organization
- High visibility and direct partnership with executive leadership
- Significant ownership of analytics strategy and BI adoption
- Competitive compensation, bonus potential, and strong benefits
- Fully remote role with a collaborative, outcomes-driven culture
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