We love what we do! At Aspen Surgical we live our values of Respect ,Transparency, Speed, Empowerment, and Fun every day. Our dedication to these values helps us build exceptional products that drive the industry standard to create a real and lasting impact on people’s lives all around the world. We strive to be the best, providing innovative tools, resources, and support needed to set our team members up for success. Do you want to be appreciated for your hard work? Be a member of a dynamic, fast-growing organization? View your job as a joy rather than a burden? Then we have a position for you!
PURPOSE: As a member of Aspen’s Data and Analytics team, you will research, develop, and operationalize data tools and frameworks that directly support our goals to drive incremental revenue and EBITDA.
JOB SUMMARY: In this role, you will work with a full stack of modern analytical tools: Stitch, DBT, Prefect, Azure Data Warehouse, Profisee MDM, Power BI, and others. Your primary objective will be to generate consensus in decision making through use of clear and trusted data solutions. You will achieve this objective by designing, building and maintaining the full data pipeline: from ingestion from source system, adding value through transformations, and presenting to stakeholders via visualization tools. You will help elevate our organization from descriptive reporting to prescriptive analyses.
ESSENTIAL DUTIES AND RESPONSIBILITIES: – Other duties may be assigned:
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Design, develop, and maintain the data ecosystem: sourcing, cleaning, warehousing, metrics, reports, analyses, etc., to drive key business decisions
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Write extraction, loading, and transformation jobs to calculate business metrics
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Monitor and troubleshoot operational or data issues in the data pipelines
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Identify and recommend opportunities to automate systems and tools
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Partner with business stakeholders to gather requirements and translate them into solutions
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Promote the use of the tools we develop to accelerate optimization efforts within the organization
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Educate the broader organization in data literacy
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Participate in special project work as required, such as financial modeling, acquisition integration, sales analysis, etc.
EDUCATION, EXPERIENCE, QUALIFICATIONS AND SKILLS:
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Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field
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3+ years of relevant work experience in analytics, data engineering, business intelligence or related field
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Solid understanding of modern data architecture methods, especially cloud-based (Azure)
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Coding proficiency Python and SQL
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Relevant experience working with data engineering and business intelligence tools
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Solid understanding of data visualization techniques and concepts, including experience with tools like Power BI
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Experience defining, managing, and modeling data taxonomies and of general data governance
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General understanding of DevOps processes: version control, CI/CD, testing, system administration, etc.
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Strong business acumen
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Strong communication and writing skills necessary to build effective working relationships and positively influence decision making
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Excellent knowledge of Microsoft Office applications (Excel, PowerPoint, Word, etc.)
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Ability to use time effectively and efficiently; excellent organization and documentations skills
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Ability to work independently
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Demonstrated leadership qualifications
