Data Analytics Engineer II

Data Analytics Manager

A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world's leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp's offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM's cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey.

Your role and responsibilities involve hands-on development with both functional and technical responsibilities. The 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 include:

• 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

This job can be performed from anywhere in the US.

Required technical and professional expertise:

• 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

Preferred technical and professional experience:

• 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

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.