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Data Analyst

London, United Kingdom

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full Time
From the employer’s posting
Apply at Avepoint

What you’ll work on

Full posting
  • Analyze how partners contribute to revenue growth, pipeline and customer expansion

  • Build lifecycle metrics and scorecards to assess partner effectiveness

  • Report on recurring revenue (ARR), renewals and pipeline trends and risks

  • Build models to find high-growth and at-risk partners

  • Create executive-ready dashboards for sales, marketing and partner teams

From the employer’s posting
Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion
Develop lifecycle metrics and scorecards to assess partner effectiveness
Support reporting on recurring revenue (ARR), renewals, and pipeline
Build models to identify high-growth partners, at-risk partners
Create clear, executive-ready dashboards and insights

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in data analysis, ideally SaaS or technology
  • Bachelor's degree in data science, statistics, business analytics, CS or related field
  • Proficiency in SQL, Python or R, and tools like Power BI or Tableau
  • Strong analytical skills

Preferred experience

  • Master’s degree preferred.
  • Experience in SaaS B2B performance metrics such as Annual Recurring Revenue, Net Recurring Revenue, and Gross Recurring Revenue analysis is a plus.
  • 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.
Qualification wording
3+ years of experience in data analysis, preferably in a SaaS or technology environment
Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field
Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must
Analytical Skills: Strong analytical and pr
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.
Education & alternatives
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.

Tools in this posting

  • Python
  • R
  • SQL
  • Power BI
  • Tableau
Source — Tool mentions in context
- 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.

Posting record

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Open 3 monthsWe first saw this posting 119 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 2, 2026 · 119 days ago
Recorded sightings
144
Last seen by us
Oct 30, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
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Job description

View original posting ↗

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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London, United Kingdom

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