Data Analyst

Responsibilities

Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments

Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation

Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem

Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels

Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth

Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment

Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action

Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities

Preferred

Master's degree

Benefits

Comprehensive benefits (medical, dental, vision)

401(k) with match

Unlimited PTO

Glassdoor

3.0

AvePoint is the unifying Trust Layer for AI, helping enterprises deploy AI with confidence and scale innovation without scaling risk.

Jersey City, New Jersey, USA

http://www.avepoint.com

Distribution of Different Job Fields Receiving Sponsorship

56

Represents job field similar to this job

Engineering and Development

Customer Service and Support

Management and Executive

Trends of Total Sponsorships

*2025

(1)

2024

(3)

2023

(2)

2021

Public Company

Total Funding

$744.72M

Key Investors

65 Equity Partners

Sixth Street

Goldman Sachs

2025-09-16

Qualifications

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field

3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau)

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

Master's degree

3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics.

Required skills

SQL, Python, R, Power BI, Tableau, CRM systems, Dynamics CRM, Gainsight CS, Everstage Commission, Segment Marketing, DealHub, Zoominfo, Annual Recurring Revenue analysis, Net Recurring Revenue analysis, Gross Recurring Revenue analysis, Data analysis, Customer data analytics

Preferred skills

Master's degree

Experience

3+ years