Senior Data Analyst, CS Commercial Operations
New
J
JobgetherData Analytics
United States, North American time zones, particularly Eastern or Central TimeFull-TimeSenior
Salary$118,500 to $189,600 USD, including applicable base salary, commission, and bonus components.
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Required Skills
- SQLData MiningStakeholder managementData modeling
Requirements
- Academic or professional experience with a strong quantitative, analytical, or data-focused foundation.
- Demonstrated experience serving as a trusted analytical advisor to business teams and influencing strategic or operational decisions through data.
- Strong experience working with large datasets, including data mining, manipulation, exploration, and interpretation in fast-paced environments.
- Advanced SQL skills, including the ability to develop complex, performant queries and work efficiently with enterprise-scale data environments.
- Experience conducting analysis in code-based or notebook environments and building reproducible analytical workflows.
- Proven ability to develop commercial models such as return on investment and lifetime value, as well as forecast trends to guide business decisions.
- Experience using artificial intelligence tools and workflows to improve analytical processes, increase efficiency, and scale project execution without compromising rigor.
- Excellent communication and storytelling skills, with the ability to translate complex analysis into clear recommendations and present strategies and outcomes to senior and C-suite stakeholders.
- Strong stakeholder management skills and the ability to build trusted relationships across teams and business functions.
- Availability to work within North American time zones, particularly Eastern or Central Time, depending on team alignment.
- Professional proficiency in written and spoken English.
Responsibilities
- Serve as a strategic analytics partner to business stakeholders, identifying opportunities to apply data and shaping how analysis is used to support decision-making.
- Partner with senior leaders and cross-functional teams to understand business challenges, translate them into analytical questions, and deliver actionable insights.
- Conduct quantitative analysis of customer and user behavior to identify issues, trends, opportunities, and potential improvements to customer experience and business performance.
- Develop and evaluate commercial models, including return on investment and lifetime value analyses, and forecast trends to support near-term operational and strategic decisions.
- Support strategic initiatives such as pricing and business model transformation, customer retention programs, go-to-market strategies, and annual Customer Success revenue planning.
- Architect, develop, and maintain scalable, reproducible data assets that improve efficiency, consistency, and confidence in enterprise-scale analytics.
- Write performant and complex SQL queries and conduct reproducible analysis in code-based or notebook environments.
- Communicate findings through clear, data-driven recommendations and help stakeholders translate insights into concrete plans and actions.
View Full Description & ApplyYou'll be redirected to the employer's site
