Revenue Operations Analytics Manager

Grafana Labs · USA

Company

Grafana Labs

Location

USA

Type

Full Time

Job Description

We are looking for an expert in Sales and Analytics who can partner deeply and efficiently across our Go-To-Market organization to help support high-tempo data-driven decisions. Reporting to our Sr. Manager of RevOps Analytics the Analytics Manager will be part of a rapidly growing Revenue Operations team focused on bringing greater predictability and insight to the business and helping define our GTM strategy. To be successful you will be able to operate in an unstructured fast paced environment and look forward to building the foundations for our future growth. You will bring a solid technical foundation across a wide variety of skills used in the GTM Organization to tackle critical operational and business initiatives.

Key Responsibilities

  • Develop repeatable scalable models to help define Go-To-Market planning and performance assessment

  • Partner cross functionally to establish a team perspective on ongoing growth opportunities (new markets expansion of channels methods to increase rep productivity etc.)

  • Optimize the information design across the GTM technology stack to enable the development of marketing and sales analytics

  • Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership

  • Define highly accurate stable and performant data models that feed production system integrations and key source tables for analytics

  • Generate data visualizations to empower leadership and customer-facing roles

  • Manage urgent ad hoc data analysis / QA support requests

Qualifications

  • Experience in a Sales or GTM organization and familiar with common sales models like rep productivity rep capacity campaign influence and quota modeling

  • 3+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you

  • 1+ year of Data Visualization Experience with one of the following tools: Tableau Looker Mode Analytics Sisense

  • Experience getting their hands dirty with ETL / data engineering and familiar with popular data warehouses (BigQuery Snowflake etc)

  • Experience with the following: Salesforce Clari BigQuery  DBT ZenDesk

  • Excellent communication skills with senior management audiences- explain “what it is” “why it matters” and “what should we do” in terms of your data and analysis; deliver customer-oriented KPIs dashboards and runbooks in order to ensure alignment with those audiences

  • Previous experience with Grafana visualization or a desire to invest the time to learn

A plus if you have the following

  • Knowledge of Consumption Modeling Financial Metrics

  • 3+ years of production model development

  • 1+ year of Python / Spark / Scala - familiar with statistical and machine learning packages as well as generating ad hoc ETL jobs

  • Familiarity with Airflow and Bash

  • Experience as a user of any of the following tools - JIRA Asana Databricks Github Intercom MixPanel Optimizely Marketo

What you’ll bring to the role

You are curious detail-oriented and energized by tackling new and challenging puzzles. Your background in Sales/GTM gives you the confidence to hit the ground running to define the building blocks of a sound sales analytics practice but you continually look to tailor your models and insights to the unique attributes of the environment. You thrive collaborating with teammates that challenge you to grow every day and your experience has given you the balanced ability to put a hard technical problem under a microscope without losing sight of the bigger picture required to effectively communicate with executive stakeholders.  In the United States the OTE compensation range for this role is $116000 - $145000.  Actual compensation may vary based on level experience and skillset as assessed in the interview process. Benefits include equity bonus (if applicable) and other benefits listed on our careers page. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Apply Now

Date Posted

03/25/2024

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