> Markdown version of [/jobs/ext/2260182-data-analyst](https://www.wearedevelopers.com/jobs/ext/2260182-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Socket - **Location:** Greater London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Software as a Service, Customer Data Management, Data Visualization, Microsoft Dynamics CRM, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Processing, Delivery Pipeline, Information Technology - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815180734-data-analyst ## About the Role * 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 ## Description 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). * medical * dental * vision * 401(k) with match * unlimited PTO * bonuses * commissions * equity (RSUs) 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)