Customer Success Outcomes Senior Analyst (Remote)

Ladders; United States; Remote; USD 130,000 - 178,000; Full time

Benefits offered by this job

Remote US-based

Leadership exposure

Data-driven culture

Modern tools

Equity & bonus

Job summary

Ladders is seeking a Customer Success Outcomes Senior Analyst to join a leader in the Enterprise Technology space. This remote role supports customer success leadership with reporting, analytics, and data quality needed to better understand performance and customer outcomes.

You will build the infrastructure that helps teams prioritize accounts, evaluate portfolio health, and surface meaningful risk and expansion signals.

Qualifications

• 3+ years in SaaS customer success analytics or BI.
• Bachelor's degree in Data Analytics, Business, Statistics, CS, or equivalent.
• Advanced SQL proficiency for complex queries.
• Experience building executive dashboards in Tableau.
• Familiarity with data QA and modeling in operational contexts.
• Knowledge of Snowflake or Databricks.
• Strong investigation and communication skills for data analysis.
• Ability to integrate AI tools for data exploration and automation.

Responsibilities

• Build and maintain executive dashboards and reporting infrastructure for customer success leadership.
• Deliver reporting layers that support account prioritization and performance classification.
• Define health flags and validate risk and expansion alerts with Product and CS leaders.
• QA data products by validating outputs and documenting limitations.
• Drive analytics infrastructure for segment and portfolio reviews to inform leadership decisions.
• Maintain data models linking customer value to product feedback.
• Manage data operations by querying and cleaning multi-source data across platforms.

Skills

SQL

Tableau

Data QA & Modeling

Cloud Data (Snowflake/Databricks)

Investigation & Communication

AI Tools for Data Exploration

BI Dashboards

Education

Bachelor's degree in Data Analytics or related

Tools

Tableau

Snowflake

Databricks

Job description

For our client, we are seeking a Customer Success Outcomes Senior Analyst to join the team of a leader in the Enterprise Technology space.

In this remote role, you will support customer success leadership with the reporting, analytics, and data quality needed to better understand performance and customer outcomes. You will build the infrastructure that helps teams prioritize accounts, evaluate portfolio health, and surface meaningful risk and expansion signals. This position partners closely with leadership, Product, and customer success stakeholders in a data-driven environment where strong analysis directly informs decisions.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $129,600 – $178,200 annually

Responsibilities

• Build and maintain executive dashboards and reporting infrastructure for customer success leadership
• Deliver reporting layers that support account prioritization and performance classification
• Define health flags and validate risk and expansion alerts in collaboration with Product and customer success leaders
• QA data products by validating outputs and documenting limitations
• Drive analytical infrastructure for segment and portfolio reviews to inform leadership decisions
• Maintain data models that link customer value achievement to product feedback
• Manage data operations by querying and cleaning multi-source data across platforms

Qualifications

• 3+ years of experience in SaaS customer success analytics or business intelligence
• Bachelor's degree in Data Analytics, Business, Statistics, Computer Science, or equivalent experience
• Advanced SQL proficiency for complex query writing and optimization
• Experience building executive dashboards in BI tools like Tableau
• Familiarity with data QA and modeling in operational contexts
• Knowledge of cloud data environments such as Snowflake or Databricks
• Strong investigation and communication skills for data anomaly analysis
• Ability to integrate AI tools for data exploration and automation

Benefits

• Remote work flexibility within the US
• Opportunity to work closely with leadership and cross-functional teams
• Engagement in a data-driven culture focused on customer outcomes
• Access to modern tools and technologies for data analysis
• Potential for equity compensation and bonus incentives

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.