Enablement Data & Insights, Senior Manager at Snowflake

Menlo Park, California, United States

Snowflake Logo
$164,000 – $215,200Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SaaSIndustries

Requirements

  • 15+ years of experience in data analytics, business intelligence, or a related field, ideally directly supporting a Sales or Enablement function
  • Proven, expert-level proficiency in Snowflake, SQL, and/or Python
  • Hands-on, demonstrated expertise building insightful data visualizations and reporting tools in BI tools, with specific, required experience in Sigma or Streamlit (or similar modern BI tools)
  • A strong analytical and problem-solving mindset, with a proven ability to perform root cause analysis and translate complex data into a clear, concise story for senior leadership
  • Deep functional understanding of the key metrics and motions for tech sales roles (SDR, AE)

Responsibilities

  • Own the Enablement Data Strategy: Design and manage the roadmap for all data required to measure learning and performance impact, including defining and owning the 'Learner 360' initiative, which unifies GTM performance with training completion and content consumption data, and enables more personalized learning
  • Apply expert-level SQL and Python skills to perform targeted, high-impact analyses across multiple data sources – including LMS (Docebo) and Sales Content Platform (Seismic) – to address specific business questions and emerging needs
  • Use various tools to democratize insights and provide visibility via tools such as Google Sheets, Sigma, and/or Streamlit, for enablement stakeholders
  • Teach the enablement team to be more self-sufficient for basic reporting needs, such as completion rates, calculating CSAT, and running sentiment analysis for programs
  • Prepare and deliver quarterly executive program/initiative performance reviews in partnership with the Enablement program leaders, translating complex results into concise, actionable narratives for strategic planning
  • Partner with program owners to go beyond surface-level metrics to conduct deep-dive RCA on complex enablement problems (e.g., "Why is ramp time lagging in this segment?" or "Which specific training modules best predict quota attainment?")
  • Own the methodology and reporting for key feedback metrics, including collecting, analyzing, and synthesizing CSAT and other learner feedback data to measure program quality
  • Provide responsive, high-quality analytical support to the Enablement team for ad hoc requests, delivering data, reports, and analysis swiftly to inform day-to-day decisions and operational troubleshooting
  • Serve as the dedicated subject matter expert (SME) for Enablement data, translating the team's unique business needs into technical data requirements
  • Partner closely with the broader IT Data Analytics and AI (DAA), and Data Engineering teams to define data requirements, advocate for necessary pipeline developments, and ensure data integrity and accessibility in the Snowflake data warehouse for use by the Enablement team

Skills

SQL
Python
Google Sheets
Sigma
Streamlit
Docebo
Seismic
data analysis
analytics
data strategy
BI tools

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.
Increased competition from Mistral AI could challenge Snowflake's market position.
Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
The AI Data Cloud enables near-unlimited scale and performance for data mobilization.
Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.
Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.
Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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