- 경험
- 5년 이상
- 샐러리
- USD 98,900 – USD 228,700 / year
- 채용 공고
- 1
- 게시됨
- 14시간 전
- 작업 모드
- 재택근무
- 재개하다
- 신청 시 필수 사항
직무 설명
Role Overview
Join as a Data Analyst focused on Go-To-Market (GTM) analytics, responsible for developing trusted analytical insights that influence revenue generation, customer retention, and business growth decisions at a leading collaboration platform company. Partner across multiple teams including Sales, Customer Success, Finance, and Product to translate complex business queries into actionable data-driven strategies utilizing contemporary cloud analytics technologies. Deliver comprehensive insights that enhance customer experiences and shape impactful GTM strategies.
Team Mission
The analytics team crafts reliable data insights that empower informed business decisions. Close collaboration with key business stakeholders ensures scalable and dependable data solutions that support the organization’s success.
Key Responsibilities
- Partner with stakeholders from Sales, Customer Success, Finance, and Product teams throughout the entire Lead-to-Quote-to-Cash lifecycle to develop trusted analytics.
- Create scalable dashboards and build analytical models that provide enhanced visibility and support informed business decisions.
- Analyze product, revenue, and customer data to uncover trends, risks, and growth opportunities across pre-sales, sales cycles, renewals, support, and customer success functions.
- Transform analytical outcomes into compelling narratives that inform executive leadership, business reviews, and cross-functional decision-making.
- Collaborate with data engineering teams for data validation, troubleshooting, and refinement of reporting accuracy.
- Enhance adoption of analytics by establishing success metrics, evaluating return on investment, and facilitating self-service reporting capabilities.
Candidate Profile
- Possess over 5 years of experience in business analytics, including a minimum of 2 years specializing in GTM, Revenue Operations, or Product analytics roles.
- Expertise in advanced SQL querying on cloud-based data platforms to analyze large datasets.
- Proficiency in developing analytical models, dashboards, and reports using modern BI and data visualization tools.
- Strong skills in Python or R for data preparation, analysis, and interpretation.
- In-depth understanding of SaaS and consumption-based business metrics, customer lifecycle analytics, forecasting, and KPIs for performance evaluation.
- Effective collaborator who works well with cross-functional teams to deliver reliable analytics solutions.
- Capable of communicating technical results clearly to diverse audiences, both technical and non-technical.
- Utilize AI-assisted analytic or productivity tools to optimize analytical processes.
Compensation Information
The salary range for this role is $98,900 to $228,700, with total compensation including base salary, bonuses, and equity components. Actual starting pay is determined based on experience, qualifications, and geographic location due to location-based pay structures.
Application Timeline
The position is open for applications until August 4, 2026.
Work Environment
This role offers a structured hybrid working model combining remote engagement with office collaboration, centered around flexible work arrangements matching the job responsibilities.
Benefits Overview
The company promotes an award-winning culture emphasizing employee happiness by providing various benefits supporting physical, mental, emotional, and financial wellbeing, as well as encouraging work-life balance and community involvement.
About the Employer
The company is a leader in enterprise collaboration platforms, offering products spanning virtual meetings, events, communications, and integrations, with a focus on innovative problem-solving and continual career growth opportunities.
Diversity and Inclusion
The employer is dedicated to equitable hiring standards, ensuring assessment based solely on skills and potential. Applicants requiring accommodations due to medical disabilities can request support throughout the recruitment process. Interviewing technology may include tools to enhance consistency and fairness.