Customer Success Operations Analyst
Own the reporting and automation layer for Customer Success, transforming data into actionable insights and automated workflows.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Own the reporting and automation layer for Customer Success
- Build reporting and automation on top of the Customer Success data mart
- Automate recurring Customer Success workflows
- Define a secure data access model for workflows
- Maintain data quality and documentation for data sources
Must have
- Hands-on experience with Databricks
- Familiarity with Python or another scripting language
- Strong communication skills
Nice to have
- Experience with Salesforce data
- Understanding of data access governance
- Experience designing automation for support workflows
AI in the day-to-day
Default to AI-first workflows for automation and insights.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Customer Success Operations Analyst at Obsidian Security focuses on automating reporting and workflows to enhance customer health tracking and streamline executive visibility. Key skills include experience with modern data platforms like Databricks, proficiency in Python for data automation, and a solid understanding of customer success tools. This role is well-suited for individuals with a background in data analysis or operations, particularly those familiar with SaaS environments and cybersecurity. The position is part of a new Service Operations function aimed at modernizing customer data management.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze October 11, 2026. Last confirmed on Obsidian Security's careers page October 13, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts above 10% of 29 comparable mid data engineering roles in United States that list Python we track (median $125,000 across 15 companies). See Python salary trends
- Python appears in 67.5% of 83 comparable mid data engineering roles in United States; Salesforce appears in 6% of 83 comparable mid data engineering roles in United States.
Quick facts
- Is the Customer Success Operations Analyst role remote?
- Yes — Obsidian Security lists this as a fully remote position.
- What's the salary range?
- Obsidian Security lists $120,000–$130,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, Python, Salesforce, Slack, Zendesk.
- What seniority level is this role?
- Obsidian Security targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Customer Success Operations Analyst role at Obsidian Security.
From the original posting
Obsidian Security is a global leader in cyber security protecting the SaaS and non-human identity layer modern enterprises run on — from Salesforce and Snowflake to the AI agents now deployed inside them. The Obsidian Security platform gives unified visibility into every human and machine identity, app, and integration across their SaaS estate, detects identity-based and supply chain attacks in real time, and enforces least-privilege access before it's exploited. Trusted by major Fortune 500 companies T-Mobile, Workday, Snowflake, and S&P Global, Obsidian ranked No. 95 on the 2025 Deloitte Technology Fast 500™, growing nearly 1000% from 2021–2024 — helping CISOs turn an unmonitored attack surface into one they can govern with confidence. Obsidian has also been recognized by Forbes as America's Best Startup Employers in 2026.
About the Team
We’re building a new Service Operations function within Customer Success to modernize how we structure, access, and act on customer data. This is a foundational role: you’ll be the primary consumer of the data built and owned by Business Systems, transforming it into automated reporting and AI-assisted tools that enable customer health tracking, streamline QBRs and EBRs, and provide executives with clear visibility into customer outcomes.
About the Role
- Own the reporting and automation layer for Customer Success — translate stakeholder needs for account health, QBR/EBR decks, and executive dashboards into field-level requirements, then build the reporting and automation on top of the Customer Success data mart.
- Default to AI-first workflows — shape the roadmap for both deterministic (data plumbing) and non-deterministic (AI/LLM-driven) automation that surfaces customer insights, health checks, and recurring reports, replacing manual, ad hoc work wherever possible.
- Automate recurring Customer Success workflows beyond reporting, including renewal/adoption tracking, repetitive support tasks like ticket triage and diagnostics, and cross-platform automation that connects support tools (e.g., Zendesk) with systems like Salesforce, Slack, and the data warehouse to cut down manual handoffs.
- Help define a secure, auditable data access model for Customer Success workflows, in partnership with Business Systems and Security (who own implementation).
- Maintain data quality and documentation for Customer Success data sources, flagging gaps, inconsistencies, or governance issues as you find them.
- Partner across Business Systems, Product/Engineering, and Customer Success (TAM and Support) to shape how data flows into the reports and tools people use every day.
About You
- An AI-first approach to problem-solving — you default to evaluating where agentic or LLM-driven workflows can replace manual, ad hoc reporting rather than reaching for another one-off script or dashboard.
- Hands-on experience with Databricks (or a comparable modern data platform), including querying, data modeling on governed marts, and metric/semantic views.
- Familiarity with Python or another scripting language for data transformation and automation.
- Strong communication skills — able to translate ambiguous business reporting needs into concrete data requirements.
- Experience with Salesforce data and/or customer success platforms (e.g., Totango, Zendesk, Gainsight) is a plus.
- Understanding of data access governance and security best practices, particularly around customer-tenant data.
- Comfortable operating with ambiguity, partnering directly with engineering/business systems teams that own the broader data warehouse.
- Experience designing or implementing automation for technical support workflows and cross-platform integrations (e.g., ticket triage, diagnostics, connecting support tools to Salesforce, Slack, or data platforms using an established integration platform) is a plus.
- Experience with cybersecurity, SaaS security, or a technical B2B SaaS environment is a plus, but not required.
Employee Benefits
Employee Benefits:
Standard company text repeated across Obsidian Security's postings is omitted here.