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HashiCorp

Data Analytics Manager II

Sorry, this job was removed at 06:11 p.m. (CST) on Thursday, Aug 21, 2025
Remote
Hiring Remotely in United States
128K-150K Annually
Remote
Hiring Remotely in United States
128K-150K Annually

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About the team:

This is an individual contributor role responsible for hands-on development with both functional and technical responsibilities

Marketing Analytics team is focused on translating key business data into consumable data models and tools that accelerate time-to-insight for the Hashicorp Marketing organization and Leadership teams

As a Data Analytics Manager, you will work closely with the subject-matter experts from Product Marketing, Product PM’s, Revenue Marketing, Sales, Finance and IT teams to develop data models that power common marketing use cases, powering ad hoc analyses, reports/dashboards.

You will make it easier for key business stakeholders at HashiCorp to be able to self-serve answers to their questions leveraging the wealth of information around customer and product telemetry

Responsibilities:

  • Own the creation and maintenance of well-structured and robust data models, dashboards and reports that enable business stakeholders to drive data-informed decisions
  • Build and maintain reverse ETL workflows to business systems such as Marketo to support marketing campaigns 
  • Collaborate with cross-functional teams to define and track key business metrics tied to adoption, pipeline, revenue, product telemetry and customer success
  • Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers
  • Develop documentation, training and enablement content to ramp users on models and dashboards for self-serve analysis

What you’ll need:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of experience in analytics, analytics engineering, business intelligence, data engineering or a related field
  • Demonstrates the ability to write clean, performant and scalable SQL
  • Hands-on experience with data modeling tools like DBT or similar frameworks, modern datawarehouse systems like Snowflake or Redshift for structuring and transforming data into high-quality usable models
  • Experience building intuitive and impactful dashboards in one or more BI tools (e.g., Tableau, Sigma, Looker) 
  • Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results
  • Ability to shape ambiguity into tangible deliverables
  • Strong communication skills presenting insights and recommendations to stakeholders and senior leaders

What's nice to have:

    • Strong business acumen with 2+ years of experience developing analytics for go-to-market functions (Sales, Marketing etc.)
    • Knowledge of visualization best practices
    • Solid grasp of data modeling and semantic layers
    • Knowledge of Python or R

#LI-Remote 

Individual pay within the range will be determined based on job related-factors such as skills, experience, and education or training.

The base pay range for this role in the SF Bay Area / NYC area is:
$127,500$150,000 USD
The base pay range for this role in California (excluding SF Bay Area), New York (excluding NYC), Seattle Metro, Denver / Boulder Metro, Washington D.C., or Maryland is:
$116,900$137,500 USD
The base pay range for this role in Colorado (excluding Denver / Boulder Metro), Illinois, Minnesota, or Washington (excluding Seattle Metro) is:
$106,300$125,000 USD

“HashiCorp is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. HashiCorp will be the hiring entity. By proceeding with this application you understand that HashiCorp will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: link to IBM privacy statement.”

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