Strategic Analytics CSM for NDR Growth

We Love AI Jobs; San Francisco (CA); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Stock options

Comprehensive benefits package

Variable pay potential

Job summary

Sigma Computing, an in-office role based out of the San Francisco office, seeks a Customer Success Manager with 4+ years in SaaS analytics. You will guide customers in using Sigma’s BI platform, expand high-value accounts, and drive adoption and retention through strategic plans and training sessions.

Ideal candidates have strong data skills, SQL and BI tool experience, and a proven track record of reducing churn and growing net revenue. On-site work with comprehensive benefits included.

Qualifications

• Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
• 4+ years of experience in a customer success, account management, or consultative role within SaaS/BI.
• Strong analytical skills with data-driven problem solving.
• Excellent communication and interpersonal skills; trusted customer relationships.

Responsibilities

• Strategic Account Management: Build and maintain relationships with decision-makers within high-value accounts.
• Analytics Expertise: Guide customers in optimizing Sigma Computing's analytics platform.
• NDR Growth: Develop strategies to maximize net dollar retention; upsell/cross-sell opportunities and reduce churn.
• Customer Advocacy: Bridge between customers and product team; advocate for features and integrations.
• Success Plans: Develop and execute plans aligning Sigma capabilities with customer goals.

Skills

SQL

Data visualization

Snowflake

Databricks

Redshift

BigQuery

ETL

Business intelligence

Education

Bachelor's or Master's degree

Job description

Sigma Computing, an in-office role based out of the San Francisco office, seeks a Customer Success Manager with 4+ years in SaaS analytics. You will guide customers in using Sigma’s BI platform, expand high-value accounts, and drive adoption and retention through strategic plans and training sessions.

Ideal candidates have strong data skills, SQL and BI tool experience, and a proven track record of reducing churn and growing net revenue. On-site work with comprehensive benefits included.