Data Analyst
The Data Analyst at Confidential Client is responsible for transforming complex data into actionable insights to support strategic business decisions. This role involves designing and maintaining reports and dashboards using Power BI, analyzing data with SQL and DAX, and collaborating with stakeholders to identify trends and improve operational performance. The position requires strong analytical skills, attention to detail, and the ability to communicate technical findings to non-technical audiences.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Medical Equipment Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking a Data Analyst who turns data into clear, actionable business insights. You will design and maintain reporting, build dashboards, and partner with stakeholders across the organization to support operations and strategic decisions.
- Design, develop, and maintain reports and dashboards in Power BI
- Use SQL and DAX to prepare, model, and analyze data from the enterprise data warehouse
- Produce recurring and ad-hoc reports to support business operations
- Identify trends, patterns, and opportunities within large datasets
- Troubleshoot reporting environments, databases, and report delivery issues
- Collaborate with leadership and business partners to prioritize reporting needs
- Support reporting-related user requests and resolve data issues promptly
- Ensure accuracy, consistency, and accessibility of organizational data
- Perform additional duties as assigned
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field — or equivalent experience
- Strong, demonstrable experience with Power BI and SQL
- Experience working with large datasets and relational databases
- Ability to translate technical findings into clear, business-friendly insights
- Strong analytical, problem-solving, and communication skills
- Authorized to work for any employer in the U.S.; Confidential Client is unable to sponsor work visas at this time
Preferred Qualifications
- Prior experience as a Data Analyst within healthcare, medical device, or medical equipment manufacturing environments
- Experience with Python for data manipulation or analysis
- Advanced Microsoft Excel skills
- Strong data visualization and presentation experience for business stakeholders
- Familiarity with enterprise data warehouse concepts and ETL processes
What Makes You Successful
- Strong attention to detail and commitment to data accuracy
- Ability to manage multiple priorities in a fast-paced environment
- Effective communicator who can bridge technical and non-technical audiences
- Collaborative mindset and a passion for continuous improvement and data-driven decision-making
Physical Requirements & Travel
- Primarily desk-based work (approximately 90% sitting, 10% standing/walking/bending)
- Occasional travel (under 10%) by air, rail, or automobile as needed
- Minimal lifting requirements
Benefits & Additional Information
- Selected candidate will be eligible to participate in the Confidential Client’s benefit plans (health, dental, vision, life, disability, 401(k) with company contribution, and paid time off). Benefits are subject to plan terms and company policy and may vary by role/state.
- This role is posted for opportunities in Malvern, PA. Applicants must be authorized to work for any employer in the U.S.; Confidential Client cannot sponsor work visas.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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