AvePoint - Data Analyst- Channel
Requirements
• Education: Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master’s degree preferred. • Education: • 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. • Attention to Detail: • Business Acumen: Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making. • Business Acumen: • Team Player: Ability to work collaboratively in a fast-paced, dynamic environment • Team Player: • 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.
Responsibilities
• Partner Performance Analysis Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments. • Partner Performance Analysis • Partner Health & Engagement Insights Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation. • Partner Health & Engagement Insights • Revenue & Forecasting Support Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem. • Revenue & Forecasting Support • Customer & Partner Relationship Insights Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels. • Customer & Partner Relationship Insights • Partner Marketing Analytics Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth. • Partner Marketing Analytics • Predictive & Strategic Analysis Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment. • Predictive & Strategic Analysis • Dashboarding & Executive Reporting Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action. • Dashboarding & Executive Reporting • Cross-Functional Collaboration Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities. • Cross-Functional Collaboration
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