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Data Analyst

AvePoint avepoint.com Open · verified Oct 24, 2026
London Jersey City Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at AvePoint. London · full-time · no salary stated · we estimate £45,668–£64,375.

Estimated pay

AvePoint has not published a salary for this role. The figure below is our estimate, not theirs.

£45,668 – £64,375
What the middle half of mid-level data analysis & BI roles in London paid, among postings that did state a salary.
Worked out from 14 postings that stated pay, median £52,500. Last updated Oct 23, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationLondon
EmploymentFull-time
PostedJun 16, 2026 · 4mo ago
Also hiring inJersey City
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Track how partners affect revenue, pipeline and customer growth across regions, channels and business segments
  • Build partner scorecards using engagement, product adoption, customer satisfaction and training activity
  • Support reporting on recurring revenue, renewals and pipeline to surface growth patterns and risks
  • Analyze partner campaigns and customer movement between direct sales and partner channels to find retention and expansion opportunities
  • Model partner growth and risk, then turn findings into dashboards for sales, marketing and partner teams

What you bring

  • You have at least three years in data analysis, ideally working with customer data in SaaS or technology
  • A bachelor’s degree in data science, statistics, business analytics, computer science or a related area is required
  • You can work proficiently with SQL, Python or R, and a data visualization platform such as Power BI or Tableau

Who this fits

This role suits an analyst who can connect partner, customer and revenue data to practical business decisions. You’ll work across sales, go-to-market, partner programs, marketing, revenue operations and finance.

From the employer

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.