Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Customer Success Operations Analyst Contractor to join our growing team!
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.
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
Defined, weighted expansion signal model
Signal scoring logic (rule-based and/or statistical modeling)
Automated Weekly Customer Signal Digest (programmatically generated)
Documented scoring methodology and explainability framework
Must demonstrate:
Ability to normalize heterogeneous data sources
Feature engineering capability
Clear threshold logic and segmentation strategy
This engagement requires hands-on technical execution.
You will:
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
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)
Centralized expansion intelligence dataset
Usage forecasting model projecting growth trajectory and expansion probability
Segmentation framework blending usage, lifecycle, and intent data
Data dictionary and logic documentation
Build a usage-driven growth forecasting model that:
Projects consumption acceleration
Identifies saturation risk
Estimates expansion likelihood
Surfaces growth inflection points
Model must be:
Explainable
Operationally usable
Documented
Validated against historical data
Experience with:
Time-series modeling
Cohort analysis
Logistic regression or similar probability modeling
Backtesting model accuracy
Design Tableau dashboards that:
Surface expansion-ready accounts
Highlight usage acceleration vs. stagnation
Display segment-level opportunity trends
Show risk vs. growth heatmaps
Dashboards must:
Be powered by validated SQL logic
Support role-based visibility (CSM, leadership, exec)
Tie directly to routing workflows
Reduce manual data pulls
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
Must design:
Signal → Score → Segment → Route → Measure → Iterate loop
By end of engagement:
Automated expansion signal model in production
Python-driven weekly digest or alert framework
SQL-backed Tableau dashboards adopted by teams
Forecasting model with documented methodology
Routing workflows live in Salesforce
Reduced manual analysis by CS teams
Clear documentation enabling internal ownership
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
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
The pay range for this contractor position is $57 - $83 per hour.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.
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Backblaze is a cloud backup and storage company that provides unlimited, automated online backup solutions for individuals and businesses. They offer secure data protection services including computer backup, mobile backup, and B2 cloud storage.
Visit website$57 – $83
