Remote Senior Forecasting Analyst - Healthcare Analytics
About the Role
InStride Health is looking for a Remote Senior Forecasting Analyst to enhance our enterprise forecasting capabilities. This role is pivotal in driving our mission to provide specialty anxiety and OCD care through data-driven insights. As a Senior Forecasting Analyst, you will leverage advanced SQL, statistical modeling, and programming techniques to improve our predictive models and ensure accuracy in our forecasts.
What You'll Do
- Own and maintain existing forecasting models while continuously challenging and improving their accuracy.
- Utilize advanced SQL and statistical modeling techniques to analyze data and generate actionable insights.
- Collaborate with cross-functional teams to integrate forecasting capabilities into business strategies.
- Develop and implement new forecasting methodologies to enhance predictive accuracy.
- Monitor and report on key performance indicators related to forecasting outcomes.
Requirements
- 5+ years of experience in forecasting, analytics, or a related field.
- Strong proficiency in SQL and statistical modeling techniques.
- Experience with programming languages such as Python or R.
- Ability to communicate complex data insights to non-technical stakeholders.
- Experience in healthcare analytics is a plus.
Nice to Have
- Familiarity with machine learning techniques.
- Experience in a remote work environment.
- Knowledge of mental health care metrics and outcomes.
What We Offer
- Competitive salary ranging from $120,000 to $150,000 per year.
- Fully remote work environment with flexible hours.
- Opportunities for professional development and growth.
- Collaborative and supportive team culture.
- Health and wellness benefits.
This Remote Senior Forecasting Analyst position at InStride Health offers a unique opportunity to impact pediatric mental health care through data analytics. With a competitive salary and a fully remote work environment, this role is ideal for experienced analysts looking to make a difference.
Who Will Succeed Here
Proficient in SQL for complex data manipulation and extraction, with the ability to optimize queries for large healthcare datasets, enhancing data retrieval speed and accuracy.
Demonstrates a strong analytical mindset and experience in predictive modeling using Python and R, capable of translating healthcare data into actionable insights that align with business goals.
Possesses self-motivation and discipline to thrive in a remote work environment, with a proven history of managing projects independently while meeting tight deadlines in a dynamic analytics setting.
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