Customer Success Operations Analyst | Contract

Backblaze External Website
12h$57 - $83

About The Position

Backblaze is seeking a highly technical Customer Growth Intelligence Consultant to design and operationalize a scalable expansion intelligence engine.This is not a reporting role. This is a hands-on build engagement requiring deep technical execution across data extraction, modeling, automation, and BI architecture. You will architect and deliver: A unified post-sales data model Automated expansion signal scoring Usage forecasting models Role-based routing logic Tableau dashboards powered by validated SQL datasets Python-driven automation and signal generation workflows By the end of 12 weeks, Backblaze will have a durable, scalable growth intelligence system that internal teams can own — not a slide deck.This role requires advanced proficiency in Python, SQL, and Tableau and comfort directly querying warehouses, manipulating datasets, building predictive logic, and productionizing insights. This is a build-and-enable role, not a steady-state operations position. You will work hands-on across data sources, systems, and workflows to create durable insights, automation, and reporting that powers post-sales growth across Customer Success, Support, Sales, and Marketing. Success in this role means that by the end of the engagement; Backblaze has clear expansion signals, scalable digital motions, automated insights, and role-based routing that internal teams can own long-term.

Requirements

  • Advanced SQL (multi-table joins, window functions, aggregations, cohort analysis)
  • Python for: Data transformation (pandas) Feature engineering Model prototyping Forecasting (time series or regression modeling) Automated digest generation
  • Tableau dashboard architecture (not just report building)
  • Advanced SQL proficiency (complex joins, window functions, cohort queries)
  • Strong Python proficiency (pandas, modeling, automation scripting)
  • Advanced Tableau development (data modeling + dashboard architecture)
  • Experience querying data warehouses (Snowflake, Redshift, BigQuery preferred)
  • Deep Salesforce object model familiarity
  • Experience integrating product usage, CRM, and support data
  • Prior work building forecasting or scoring models
  • 6–10+ years in Customer Success Analytics, Revenue Analytics, or Growth Intelligence roles
  • Strong experience working across post-sales data (usage, support, intent, CRM)
  • Hands-on Salesforce experience, including workflows and routing logic
  • Experience building forecasting models and customer segmentation frameworks
  • Familiarity with tools such as Zendesk, Gong, ZoomInfo, G2, Tableau, or similar
  • Strong analytical skills with the ability to translate complex data into actionable insights
  • Comfortable operating independently in a fast-moving, ambiguous environment
  • Highly execution-oriented — you build, test, and ship
  • Systems thinker who connects data, signals, and actions
  • Pragmatic and outcome-focused
  • Strong cross-functional collaborator
  • Disciplined about documentation and clean handoffs

Responsibilities

  • Design and deploy a repeatable expansion scoring framework powered by: Product usage velocity and growth curves Consumption saturation modeling Intent data (G2, ZoomInfo) Zendesk support volume, sentiment, and severity signals Salesforce lifecycle and commercial activity Gong relationship and engagement metadata
  • Write complex SQL queries across Salesforce, product usage tables, Zendesk, and Gong data
  • Build normalized, analysis-ready datasets
  • Align account-level joins across inconsistent identifiers
  • Resolve data hygiene inconsistencies
  • Create reusable data views powering Tableau dashboards
  • Build a usage-driven growth forecasting model that: Projects consumption acceleration Identifies saturation risk Estimates expansion likelihood Surfaces growth inflection points
  • Design Tableau dashboards that: Surface expansion-ready accounts Highlight usage acceleration vs. stagnation Display segment-level opportunity trends Show risk vs. growth heatmaps
  • Operationalize insights into action: Python-driven weekly digest automation Trigger-based expansion routing Salesforce workflow logic to assign expansion-ready accounts Tiered routing (high-touch, pooled, digital) Campaign trigger exports for Marketing automation
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