À propos de ce poste Data Analyst, Network Analytics chez Questanalytics
What you'll do:
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Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights
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Translate analytical findings into clear insights and recommendations that support internal stakeholders and cross-functional partners
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Analyze healthcare provider and organizational data to resolve entity matching across multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities to leverage data in new products and features
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Lead data investigations to resolve data quality issues and support business initiatives
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Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions
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Use SQL, Databricks, Python, and AI tools (e.g., Claude) independently to process, analyze, and derive insights from large datasets
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Contribute to the evaluation and adoption of new technologies that advance analytics capabilities
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Maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets
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Develop metrics, KPIs, and analytical frameworks to support Quest products
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Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps
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Identify and recommend improvements to outreach strategies and data processes based on insights
What it requires:
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Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience)
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3+ years of data analysis experience, preferably within healthcare, SaaS, or data-intensive environments
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Proven experience working with large, complex datasets and conducting in-depth data investigations
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Experience supporting product development, data quality initiatives, or analytics-driven business decisions
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Strong proficiency in SQL (intermediate to advanced) for data extraction, transformation, and analysis
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Hands-on experience with modern data platforms such as Databricks, Spark, or similar distributed data processing tools
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Proficiency in one or more programming languages such as Python, SQL, R, Scala, or Java
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Experience with BI and data visualization tools (e.g., Looker or similar platforms)
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Experience leveraging AI tools (e.g., Claude or similar platforms) to support data analysis, pattern recognition, anomaly detection, and workflow automation
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Ability to incorporate AI-assisted approaches into data investigations and reporting to improve efficiency and scalability
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Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement
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Strong understanding of data management best practices, including data quality, governance, and stewardship principles
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Experience defining and developing metrics, KPIs, and data models to support business and product needs
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Experience interacting with clients, vendors, and cross-functional stakeholders to understand requirements and deliver insights
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Excellent written and verbal communication skills, with the ability to present complex findings clearly
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Strong organizational skills and ability to manage multiple priorities
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Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools
Interview ProcessThe interview process may vary by role but typically includes:
- Recruiter Video Interview
- Video Interview with the Hiring Manager
- Team and/or Panel Interview(s)
- Role-Specific Assessment, Presentation, or Case Study (if applicable)
- Professional Reference Checks via Skill Survey
- Final Interview with Executive Leadership
Video Camera Usage PolicyQuest Analytics is a remote-first organization that values collaboration, communication, and engagement. To support a connected and productive work environment, candidates are expected to participate in all virtual interviews with their cameras enabled.Video participation helps create a more interactive interview experience, allows for stronger communication and relationship-building, and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants, identity misrepresentation, unauthorized participation, and other security risks that have become increasingly common in remote hiring environments.Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment.
Relocation RequirementWhile many positions at Quest Analytics are remote, employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.This policy helps ensure compliance with employment and tax regulations, protects company and client data, and reduces risks associated with unauthorized work arrangements and employment misrepresentation.
RECRUITMENT FRAUD ALERT
We understand that some individuals have recently been impersonating recruiters from Quest Analytics® and soliciting fake job opportunities. We urge you not to disclose any personal or financial information to them. We use only our official website (https://questanalytics.com), email domain (@questanalytics.com), and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior, please report it to us at [email protected]. We appreciate your interest in working with us.
To learn more: https://questanalytics.com/news/recruitment-fraud-alert/
