Lead Data Analyst
OR · On-site +1
$160K - $200K/yr
Apply statistical methods, experimentation design, and causal inference where they sharpen a ... Summer Fridays: 5 additional Fridays off during the summer (separate from PTO). * Home Office and ...
Lead Data Analyst
OR · On-site +1
$160K - $200K/yr
Apply statistical methods, experimentation design, and causal inference where they sharpen a ... Summer Fridays: 5 additional Fridays off during the summer (separate from PTO). * Home Office and ...
Summer Causal Inference information
What is a summer causal inference?
A Summer Causal Inference position is typically a short-term research or internship role focused on applying statistical methods to determine causal relationships between variables, often in fields like economics, public policy, or data science. Individuals in this position work on projects that require designing experiments or analyzing observational data to infer causality rather than just correlation. The role is ideal for students or early-career professionals seeking hands-on experience in causal inference techniques during the summer months.
What types of projects and methodologies can I expect to work on as a summer causal inference intern?
As a Summer Causal Inference intern, you'll typically work on projects involving the design and analysis of experiments or observational studies to determine cause-and-effect relationships. You may use methodologies such as propensity score matching, difference-in-differences, instrumental variables, or regression discontinuity designs. Collaboration with data scientists, economists, and business stakeholders is common, as you'll help translate findings into actionable insights. Expect to handle real-world datasets and communicate your results through presentations or reports, gaining valuable experience in both technical and applied aspects of causal inference.
What are the key skills and qualifications needed to thrive as a summer causal inference researcher, and why are they important?
To thrive as a Summer Causal Inference Researcher, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical programming languages like R or Python and experience using tools such as STATA or MATLAB are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These skills and qualities are crucial for accurately identifying causal relationships in data and effectively collaborating within interdisciplinary research teams.
What are the most commonly searched types of Causal Inference jobs in Oregon?
The most popular types of Causal Inference jobs in Oregon are:
What are popular job titles related to Summer Causal Inference jobs in Oregon?
For Summer Causal Inference jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Summer Causal Inference jobs in Oregon look for?
The top searched job categories for Summer Causal Inference jobs in Oregon are:
What cities in Oregon are hiring for Summer Causal Inference jobs?
Cities in Oregon with the most Summer Causal Inference job openings:
Lead Data Analyst
OR • On-site, Remote
Parachute Health •
Health Care and Social Assistance • 11 - 50 employees11 - 50 employees
$160K - $200K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 18 days ago
Job description
About the Role
The Lead Data Analyst is the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.
Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.
Responsibilities Analytical leadership- Lead end-to-end analyses on high-stakes, often ambiguous questions - from framing the problem through recommendation and impact measurement.
- Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket - and recognize when a dashboard is the wrong answer.
- Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
- Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
- Move between business domains and be credible in each, rather than owning one.
- Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes - including the questions nobody has asked yet.
- Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it.
- Turn recurring analytical needs into durable models instead of one-off queries.
- Hold a high standard for canonical definitions - when two reports disagree, you're the one who finds out why.
- Mentor analysts on technique and business judgment. You don't manage anyone - you're the person newer analysts learn from.
- Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
- Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.
- 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
- 2+ years operating at a senior analyst level - owning complex projects end-to-end and holding others to a quality standard.
- Experience supporting multiple business functions from a central analytics team.
- Bachelor's degree in a quantitative or technical field, or equivalent experience.
- Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
- Nice to have: exposure to revenue and go-to-market data - pipeline, forecasting, funnel, retention, CRM.
- Expert-level SQL. Strong Python for statistical work.
- Advanced Looker or comparable BI tool experience - LookML, dashboard design, and semantic layer thinking.
- Working knowledge of experimentation design and causal inference - enough to catch correlation being mistaken for causation.
- Comfort collaborating with analytics engineers on data modeling and warehouse design.
- You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
- You mentor without formal authority - people want your input because it's good, not because you outrank them.
- You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
- You operate well in ambiguity and move with urgency.
Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.
Benefits
- Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
- Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
- 401(k) Retirement Plan
- Equity Incentive Plan
- Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
- Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
- Flexible Vacation Policy
- Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
- Home Office and Wellness Stipend
- Monthly Internet Stipend
- Annual Learning and Development Stipend
Base Salary Bands (based on experience and level)
$160,000 - $200,000
About Parachute Health
Sourced by ZipRecruiter
Industry
Health care and social assistance
Company size
11 - 50 Employees
Headquarters location
NY, US
Year founded
2015