
Data Analytics Manager
Airship
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $108,000 - $135,000 per year
Tech Stack
About the role
- Prioritize and manage team tasks/deliverables to hit company goals and align with company vision
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
- Define and implement consistent measurement standards and reporting process, leveraging data to inform business decisions, and make recommendations for improvement
- Build and maintain strong relationships with key stakeholders, identifying business needs and carrying out necessary processes and practices to monitor progress and results
- Collaborates with others to support use of visualization reporting tools to provide more effective decision-making and accountability at the service line level
- Support relationships with key stakeholders to deliver solutions include resolving issues, answering questions, obtaining information, and providing documentation
- Serve as the analytics subject matter expert, providing clear, data-driven insights and recommendations in a consistent format
- Provides recommendations to business stakeholders to solve complex business issues through data
- Contribute to strategic discussions, collaborating with the BD team to develop innovative product positioning approaches
- Stay updated on ASO trends, ensuring the insights provided remain cutting-edge and align with client needs
- Define key metrics for assessing the impact of ASO performance offerings on potential clients
- Interpret data, analyze results, provide and improve ongoing reports on Looker
- Develop and implement Big Query tables and Looker reports for internal and external use
- Acts as a liaison to support business planning, implementation, validation and scalability of current data warehousing
- Provide mentorship and support in hiring, training, and retaining a high-performing analytics team
Requirements
- 2+ years of experience leading a team of analysts in a fast-paced environment
- 5+ years of experience manipulating large complex data sets, doing quantitative analysis, statistical modeling and visualization
- Expert regarding best practices around data manipulation, building data pipelines, feature engineering and creating dashboards
- Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams to quickly turn insights into actions
- Ability to effectively communicate complex analytical results or issues to internal and/or external stakeholders
- Experience with online ads or mobile marketing
- Expertise in data analytics and visualization and experimentation
- Expertise in SQL; experience with Python or R
- Experience with data warehouses and big data technologies such as Looker Studio, Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
- Understanding the importance of delivering value to our clients, not just completing tasks to specs
- Excellent communication skills, both written and verbal to both technical and non-technical partners
- Ability to speak to measurable impacts you have made with insights derived from you and your team
- Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
- Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn!
Benefits
- Competitive medical, dental, and vision insurance options for you and your dependents
- Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off
- Support for your overall wellbeing with mental health and wellness resources
- Employer-subsidized life insurance as well as short-term and long-term disability
- A digital-first work environment and a monthly stipend to support remote work
- Mentorship and growth opportunities to build skills and accelerate professional development
- And more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingdata analysisquantitative analysisstatistical modelingdata manipulationfeature engineeringdashboard creationSQLPythonR
Soft skills
leadershipcommunicationcollaborationmentorshipproblem-solvingcreativitycritical thinkingadaptabilitystakeholder managementstrategic thinking