Job description
About the team:
This is an individual contributor role responsible for hands-on development, reporting to our Sr. Manager, Business Intelligence.
Analytics Engineering & Enablement is focused on translating our trove of data into consumable models and training that accelerate time-to-insight for the HashiCorp product organization.
As a Sr. Analytics Manager, you will work closely with subject matter experts to design and develop data models that power common analytics use cases, powering ad hoc analyses, reports/dashboards, and AI/ML models.
You will make it easier for every PM and key business stakeholder at HashiCorp to consistently self-serve answers to their questions about customer behavior and product usage, by leveraging the wealth of customer and product data we generate.
What you’ll do (responsibilities):
- Own the creation and maintenance of self-serve tools (data models, reports, dashboards, etc.) that enable business stakeholders to be data-driven in their decision-making.
- Deliver on inquisitive analyses that answer critical business questions.
- Develop training and enablement content to ramp users on models and dashboards in our portfolio.
- Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers.
What success looks like in this role:
- Reduced time required for self-service users to generate actionable insights.
- High adoption of data models and dashboards you create.
- Reliable, accurate, and well-documented data solutions that stakeholders trust.
What you’ll need (basic qualifications):
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- 10+ years of experience in analytics, analytics engineering, data engineering, or a related role.
- Solid grasp of SQL, structuring data, and ability to effectively query multiple tables of different grains with the use of subqueries/ctes and window functions.
- Proficiency in data modeling tools like dbt or similar frameworks.
- Experience working with modern data management systems (e.g. Snowflake, Redshift, etc.).
- Ability to shape ambiguity into tangible deliverables.
- Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results.
- Strong communication skills with an emphasis on written communication.
What’s nice to have (preferred qualifications):
- Strong business acumen with 7+ years experience developing analytics specifically for go-to-market functions (Sales, Marketing, Services).
- Comfortability with programming languages (e.g. Python, R, etc.) for data manipulation and automation.
- Knowledge of visualization best practices.
- Solid grasp of data modeling and semantic layers.
- Understands both data lake and data warehousing approaches to data management.
HashiCorp welcomes all qualified candidates who have authorization to work in the United States to apply - HashiCorp will not be sponsoring visas for this role at this time.
#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:
$198,900—$234,000 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:
$182,300—$214,500 USD
The base pay range for this role in Colorado (excluding Denver / Boulder Metro), Illinois, Minnesota, or Washington (excluding Seattle Metro) is:
$165,800—$195,000 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 .”
