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DER/Entry Level/Data Analyst-CSR(100% Remote)

Company:
SHIFT HQ
Location:
Atlanta, GA
Posted:
March 08, 2025
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Description:

SHIFT HQ, a growing dental implant center, is looking for an experienced Data Analyst to join our team. We provide dental implants and full mouth restorations to our patients, changing their lives. An exceptional patient experience for every patient is our top priority. At SHIFT HQ, we only hire top talent.

Responsibilities:

Collect and analyze large datasets from various sources to identify trends, patterns, and correlations.

Develop and maintain data models, dashboards, and reports to track key performance metrics and provide actionable insights to stakeholders.

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

Perform ad-hoc analysis to answer specific business questions and support decision-making processes.

Identify opportunities for process improvement and efficiency gains through data analysis.

Stay current with industry trends and best practices in data analysis and visualization techniques.

Requirements:

Proven experience working as a Data Analyst or in a similar role.

Proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.

Strong analytical and problem-solving skills, with the ability to work with large, complex datasets.

Experience with data visualization tools such as Tableau, Power BI, or matplotlib.

Excellent communication and collaboration skills, with the ability to present findings to both technical and non-technical audiences.

Detail-oriented and self-motivated, with a commitment to delivering high-quality work within tight deadlines.

Experience with machine learning techniques and predictive modeling is a plus.

Results:

Improved decision-making processes through data-driven insights.

Streamlined operations and increased efficiency through process optimization.

Enhanced understanding of business performance and market trends.

Creation of actionable reports and dashboards for stakeholders.

Contributed to the development of predictive models for future forecasting.

Identified and implemented data quality improvements.

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