Data Analyst
Avepoint
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What data roles keep asking for: Python (38%), SQL (34%), AWS (30%), Machine learning (19%), Spark (14%), Databricks (14%), Azure (13%), Stakeholder management (13%) — counted across their open postings here.
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Avepoint has 13 open roles listed here.
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- Enterprise Account Executive
- Corporate Account Executive
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- Mid-Market Account Executive
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
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Questions you are likely to be asked
- Why do you want to join Avepoint?
- What is your experience with CRM? Tell me one thing you learned the hard way.
- Walk me through a dashboard or report you built. Who used it, and for what?
- Explain a join or a window function you have used, and why you needed it.
- How would you explain a surprising number to a manager who does not believe it?
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Practise the Data Analyst at Avepoint interview free →Job Summary:
AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem—including sales performance, customer usage, licensing, and marketing—to provide insights into how our partners drive revenue growth, customer adoption, and long-term retention. Your work will help leadership make decisions on where to invest, which partners to prioritize, and how to grow our channel business effectively.
Key Responsibilities:
- Partner Performance Analysis
Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments.
- Partner Health & Engagement Insights
Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation.
- Revenue & Forecasting Support
Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem.
- Customer & Partner Relationship Insights
Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels.
- Partner Marketing Analytics
Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth.
- Predictive & Strategic Analysis
Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment.
- Dashboarding & Executive Reporting
Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action. - Cross-Functional Collaboration
Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities.
Qualifications:
- Education: Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master’s degree preferred.
- Experience: 3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics. Experience in SaaS B2B performance metrics such as Annual Recurring Revenue, Net Recurring Revenue, and Gross Recurring Revenue analysis is a plus.
- Technical Skills: Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must. Experience with customer systems such as CRM systems (e.g., Dynamics CRM, PRMs), Gainsight CS, Everstage Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively.
- Attention to Detail: High level of accuracy and attention to detail in data handling and analysis.
- Business Acumen: Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making.
- Team Player: Ability to work collaboratively in a fast-paced, dynamic environment
At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions—apply even if your expectations fall outside the range.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
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Listed on arbeitnow · posted 2026-11-05. ApplySarthi collects openings and links to application pages; the role is advertised by Avepoint, not by us.