IT Senior Data Analyst
- Provides leadership and mentoring for projects and data analysts.
- Serves as the organization-wide content expert on clinical measurement/analysis methods and imparts relevant details to senior leaders and quality team members. Continually expands/updates this knowledge.
- Understands and communicates the business impacts of data findings.
- Identifies data problems, assists in researching solutions, and recommending corrective actions to achieve higher levels of integrity and efficiency.
- Oversees individual data projects from start to finish.
- Writes queries for research and other requests.
- Provides expertise and translates the business needs to design; and develop tools, techniques, metrics, and dashboards for insights and data visualization.
- Creates interactive and actionable reports of performance including deviations and anomalies.
- Meets with end users to gather data analysis requirements to deliver accurate results.
- Liaises with business leaders to explain the possibilities and limitations of data analysis.
- Contributes to written reports and presentation materials describing project or task objectives, methods, data, and results.
- Works with organizational stakeholders to define benchmarks.
- Retrieves and creates benchmarks.
- Troubleshoots issues and new requests that require ETL (Extract, Transform, Load) builds or modifications.
- Supports end users on functionality and navigation of reports and information.
- Ensures data accuracy through validation and transparency.
- Supports governance, maintains and adds measures, flags and cohorts to the data catalog.
- Other duties and/or projects as assigned.
- Adheres to HMH Organizational competencies and standards of behavior.
- Bachelor's degree in data science or related field.
- Minimum of 3+ years of experience in healthcare/clinical analytics.
- Strong data science skills using tools like SQL, R, Python, or SAS.
- Advanced analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences.
- Experience with a wide variety of analytical or statistical methods.
- Strong ability to mentor and lead team members.
- Strong ability to project manage.
- Working knowledge of Business Intelligence products (i.e. Looker, Tableau, QLik, etc.).
- Excellent oral, writing and presentation skills; ability to communicate effectively with varying audiences.
- Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables.
- Independent working ability with strong time management skills.
- Experience with Epic Clarity and Caboodle.
- A Master's degree in data science or related field.
- Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness.
- Experience: Years of relevant work experience.
- Education and Certifications: Level of education attained, including specialized certifications, credentials, completed apprenticeship programs or advanced training.
- Skills: Demonstrated proficiency in relevant skills and competencies.
- Geographic Location: Cost of living and market rates for the specific location.
- Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the organization.
- Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered.
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