Customer Data Analyst

Posted 18 Hours Ago
Be an Early Applicant
London, Greater London, England
3-5 Years Experience
Cloud • Information Technology • Software
AvePoint empowers digital transformation for global companies of all sizes to optimize + secure their digital workplaces
The Role
AvePoint is seeking a Customer Data Analyst to gather, integrate, model, and analyze customer data from various sources to drive strategic decision-making across marketing, sales, and customer success functions.
Summary Generated by Built In

About AvePoint: 

Securing the Future. AvePoint is a global leader in data management and data governance, and over 21,000 customers worldwide rely on our solutions to modernize the digital workplace across Microsoft, Google, Salesforce and other collaboration environments. AvePoint’s global channel partner program includes over 3,500 managed service providers, value added resellers and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

About the role:

AvePoint is seeking a highly analytical and detail-oriented Customer Data Analyst to join our Data Analytics Team. In this role, you will be responsible for gathering, integrating, modelling, and analysing customer data from various sources, including CRM, marketing campaign systems, and customer success system. Your insights will help drive strategic decision-making across marketing, sales, and customer success functions, contributing to improved customer engagement and overall business growth.

Key responsibilities: 

  • Data Collection and Integration: Gather customer data from various internal systems, including CRM, marketing automation, sales platforms, and customer success tools, ensuring data accuracy and consistency.
  • Data Modelling: Develop and maintain data models that represent customer journeys, engagement, and interactions across the customer lifecycle.
  • Data Analysis and Reporting: Analyse customer data to uncover trends, patterns, and insights that drive strategic decisions in marketing, sales, and customer success.
  • Campaign Analysis: Evaluate the effectiveness of marketing and sales campaigns, providing recommendations to optimize future strategies.
  • Customer Segmentation: Perform customer segmentation and cohort analysis to identify key customer groups and tailor marketing and engagement strategies accordingly.
  • KPI Development and Tracking: Develop, track, and report on key performance indicators (KPIs) related to customer acquisition, retention, and satisfaction.
  • Collaboration: Work closely with cross-functional, global teams, including marketing, sales, customer success, and finance, to understand their data needs and deliver actionable insights.
  • Data Quality and Governance: Ensure data integrity and compliance with data governance standards, implementing processes to clean and validate customer data.
  • Visualization and Presentation: Create dashboards, visualizations, and presentations to effectively communicate findings to stakeholders at all levels of the organization

The ideal candidate has:

  • Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master’s degree preferred.
  • 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.
  • Proficiency in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI) a must. Experience with customer systems such as CRM systems (e.g., Dynamics CRM), Gainsight CS, Everstage Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.
  • Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
  • Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively.
  • High level of accuracy and attention to detail in data handling and analysis.
  • Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making.
  • Ability to work collaboratively in a fast-paced, dynamic environment

AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities.  
#LI-SW1 #LI-Hybrid




Top Skills

Python
SQL
The Company
HQ: Jersey City, NJ
2,200 Employees
Hybrid Workplace
Year Founded: 2001

What We Do

Collaborate with Confidence. AvePoint provides the most advanced platform to optimize SaaS operations and secure collaboration. Over 17,000 customers worldwide rely on our solutions to modernize the digital workplace across Microsoft, Google, Salesforce and other collaboration environments. AvePoint's global channel partner program includes over 3,500 managed service providers, value added resellers and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.

Why Work With Us

AvePoint is committed on talent development via internal mobility, mentoring, & continued learning so that each person can make an impact & feel recognized. As a newly public company, we are energetic & passionate about our continued growth and how each person has a role in that, so we can go further, together.

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