Sr. Analytics Engineer

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity

We are seeking an experienced ‘hands-on’ analytics engineer to join our Enterprise Data & Analytics team within Adobe Technology Services. Enterprise Data & Analytics (EDA) collects, transforms, stores, analyzes, and interprets large amounts of data from various business teams to uncover meaningful insights and patterns. EDA extracts raw data and translates them into actionable insights to drive better decision-making across Adobe’s business units, such as Finance, Marketing, and Product teams. In our team, you will be working with innovative data platforms, such as Databricks, and collaborating with other data and analytics engineers.

In this role, you will be a lead analytics engineer on the ARR (Annual Recurring Revenue) & Retention Analytics team within EDA. Your main responsibility will be to support business stakeholders in Finance, Commerce & Sales teams as they launch new buying programs and promotional offers to external customers to ensure that ARR & Retention analytics reporting is updated. As you partner with business teams to translate requirements into data models/technical solutions, you will profile data, including analyzing the impact of existing data, as well as prototyping new data, to simulate the ARR reporting changes as if they were live in production. This is requires attention to detail as well as business acumen and analytical abilities.

What you'll do

• Create and maintain complex data models and queries to support analytics, dashboards, and self-serve tools
• Collaborate with partners to understand business requirements and translate them into data insights reporting, analytics solutions, and technical solutions that enable and support partners to access and analyze data effectively
• Establish data modeling standards and patterns; ensure these models accurately measure metrics, and supporting details.
• Implement data governance and quality standards; document for data models, code, and standards
• Serve as a domain expert on data models and address questions quickly and accurately
• Lead, guide, and mentor junior team members to grow their skills and impact

What you need to succeed

The ideal candidate will have 5-7+ years’ experience in analytics engineering or related data engineering roles, including a unique blend of technical data skills, business sense, and the ability to communicate complex data concepts to technical and non-technical audiences.

Technical Skills

Expert proficiency in SQL and data modeling.

Experience with data warehousing technologies and cloud platforms (e.g., AWS, Azure)

Expertise in analytics and data engineering concepts, tools, and technologies.

Proficiency in data transformation tools like dbt (data build tool) a plus

Experience with data orchestration platforms (e.g., Airflow, Glue) a plus

Knowledge of dimensional modeling and star/snowflake schemas

Business Insight, Problem-Solving:

Understanding of business processes, preferably in Finance

Ability to collaborate with partners and translate business requirements into technical solutions

Strong analytical and problem-solving skills

Ability to tackle complex problems from both technical and business perspectives.

Leadership, Communication:

Planning, leading, and delivering data projects

Good interpersonal skills for communicating data insights to partners

Great documentation & presentation skills

Additional Skills:

Experience with data visualization tools like Tableau, Power BI

Knowledge of data governance and quality standards

Familiarity with AI/ML concepts and their application in analytics a plus

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $134,400 -- $252,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

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Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.