Data Is Clean
SeniorSoftwareEngineer,AnalyticalEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Analytical Engineering at Data Is Clean. Skills: Analytical Engineering, Data Modeling, dbt, SQL. Develop data-products. Deliver data-products at scale”
What You'll Achieve.
Enable self-service analytics; Clean data; Well-modeled data; Optimized data; Business-ready datasets; Enable data-informed decision-making; Deliver data-products; Drive efficiency; Deliver data skeleton; Deliver accurate data; Increase speed-to-delivery; Accelerate business decision-making; Establish measurable outcomes
Industry & Context.
Proven analytical and problem-solving ability
What They're Looking For.
Must Have
4-7 years of analytical engineering, data modeling or similar role, dbt, Databricks, SQL, SPARK, Python, data engineering tools, visualization tools, scripting, version control, Agile development, analytical and problem-solving ability, gathering requirements, define technical solutions, communications and presentation skills, explain complex analyses
Nice to Have
Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study, AWS, Airflow, Tableau, Power BI, Looker, R, Git, SVN, AI, ML, predictive modeling, JIRA, Confluence, ServiceNow, MS suites, Oracle, Redshift, PostgreSQL, CDP Impala, Athena
What You'll Do.
Develop data-products
Deliver data-products at scale
Design analytical workflows
Develop analytical workflows
Implement analytical workflows
Deliver documented code
Follow analytical lifecycle
Gather business requirements
Create analytical product plan
How You'll Work.
Team & Collaboration
Collaborate with business; Partner with AI and ML teams; Collaborate with team members
Communication Scope
Excellent communications; Presentation skills; Explain complex technical information; Explain complex analyses
Process & Methodology
Guiding large, complex projects
Full Job Description
**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). The Senior Software Engineer of Analytics Engineering provides hands-on technical expertise to develop, deploy, and maintain both core data models and core data layer. This role is ideal for someone who thrives on building robust, scalable, and well-documented data models and pipelines, while also enabling self-service analytics across the organization. We are seeking a highly skilled Analytical Engineer to join our team. This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business-ready datasets. The ideal candidate will be responsible for designing, developing, and implementing analytical workflows, ensuring that data is clean, well-modeled, and optimized for business intelligence and decision-making. This role requires strong technical expertise in data transformation, modeling, and pipeline optimization (preferably using DBT). Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to
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