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The Analytics Engineer will design and implement scalable data systems and collaborate with cross-functional teams to deliver data and BI solutions. Responsibilities include building Power BI dashboards and establishing governance frameworks for data integrity.
Candidates should have strong technical skills in Python, SQL, and Power BI, along with hands-on experience in major cloud platforms. A minimum of 3 years in scalable data architecture design and familiarity with CI/CD pipelines is preferred.
About the Role Reporting to the VP, Data & Analytics, the Analytics Engineer plays a vital role in designing, implementing, and optimizing data solutions leveraging Databricks and Power BI. You’ll collaborate with cross-functional teams to build full-stack data and BI solutions that drive business impact. We’re looking for someone who has strong technical skills and a problem-solving mindset. There’s room to shape the role based on your strengths and the value you bring. What You’ll Do · Data Architecture & Engineering: Design and implement scalable data systems using Databricks and Prefect. · Collaboration: Partner cross-functionally with data teams, stakeholders, and business units to deliver aligned, well-documented solutions that meet evolving needs. · Data Visualization & Storytelling: Build and optimize Power BI dashboards. · Data Management: Establish governance frameworks with Unity Catalog, semantic layers, and secure access controls to ensure data integrity and usability across departments. · Responsibilities may evolve based on the strengths and experience of the selected candidate. What Success Looks Like · You consistently deliver reliable, high-quality work · You meet or exceed expectations on key performance goals or metrics · You collaborate well with others and build strong working relationships · You identify and solve problems with a proactive mindset · You embody M&D’s values in how you show up and support the team What You’ll Need to Succeed · Skilled in Python, SQL, and Power BI. · Hands-on experience across major cloud platforms (Azure, AWS, GCP). · Excellent problem-solving abilities and communication skills, with a track record of cross-functional collaboration. Preferred Experience · 3+years in scalable data architecture design, including pipeline development (Databricks, Spark, Snowflake, DBT, Prefect, SQLMesh, etc). · Familiarity with CI/CD pipelines for automated testing and deployment. · Experience in machine learning pipelines and API development. · Experience with Flask/Fastapi/Django. · Experience in pharmaceuticals, logistics, or a highly regulated industry. Comprehensive Benefits Medical, Dental, and Vision Insurance, HRA, HSA, and FSA reimbursement accounts, Basic & Voluntary Life Insurance, Short & Long-term Disability Insurance, Paid Time Off, Paid Holidays, Fitness Program Reimbursement, Employee Assistance Program, 401K Savings Plan with a company match Why Join Us At M&D, you’ll be part of a mission that matters. We take pride in our history, but we’re building for the future and that means investing in people who care about doing meaningful work with a strong, stable company. You’ll find growth opportunities, teammates who have your back, and leaders who support your development. When you bring your best, we make a bigger difference, together.
This job posting was last updated on 9/11/2025