Analytics Engineer
Company: Machinify Inc.
Location: Palo Alto
Posted on: March 1, 2025
Job Description:
Machinify is the leading provider of AI-powered software
products that transform healthcare claims and payment operations.
Each year, the healthcare industry generates over $200B in claims
mispayments, creating incredible waste, friction, and frustration
for all participants: patients, providers, and especially payers.
Machinify's revolutionary AI-platform has enabled the company to
develop and deploy, at light speed, industry-specific products that
increase the speed and accuracy of claims processing by orders of
magnitude.As an Analytics Engineer on our Data Team, you'll be at
the heart of transforming raw data into powerful insights that
drive smarter product decisions. Working alongside product
managers, data scientists, subject matter experts, and functional
leads, you'll build and fine-tune data pipelines, ensuring our data
is always accurate, accessible, and actionable. Your insights into
product usage and performance will fuel Machinify's innovative
solutions.What You'll Do:
- Data Analysis: Dive deep into data to reveal insights on
product performance, customer behavior, claims patterns, and key
financial metrics.
- Analytics Engineering: Develop and refine data models,
transformations, and visualizations that fuel decision-making
across teams.
- Data Pipeline Development: Design, build, and maintain
scalable, efficient data pipelines using Airflow to keep our data
flowing seamlessly.
- Collaboration: Partner closely with product managers, data
scientists, SMEs, and functions to understand data needs, deliver
insights, and support product innovation.What You'll Bring:
- Experience: 3+ years in analytics engineering, data
engineering, or data analysis, with a strong focus on building data
pipelines and deriving insights.
- SQL Mastery: Advanced SQL skills for complex queries and
performance optimization on large datasets.
- ELT/ETL & Orchestration: Experience with tools like Airflow to
streamline data workflows.
- Data Modeling: A solid foundation in data modeling principles
to design and optimize models for robust analytics.
- Problem Solving: A knack for troubleshooting data issues and
optimizing data processes.
- Attention to Detail: A commitment to data accuracy and
integrity in every output.
- Communication: Strong ability to translate complex technical
information for diverse audiences.Bonus Skills:
- Experience with Python, AWS, and SparkSQL
- Familiarity with Medical Healthcare claims data modelsThe base
salary for this position will vary based on an array of factors
unique to each candidate such as qualifications, years and depth of
experience, skill set, certifications, etc. The base salary range
for this role is 180-200k. We are hiring for different seniorities,
and our Recruiting team will let you know if you qualify for a
different role/range. Salary is one component of the total
compensation package, which includes meaningful equity, excellent
healthcare, flexible time off, and other benefits and perks.Equal
Employment Opportunity at MachinifyMachinify is committed to hiring
talented and qualified individuals with diverse backgrounds for all
of its positions. Machinify believes that the gathering and
celebration of unique backgrounds, qualities, and cultures enriches
the workplace.
#J-18808-Ljbffr
Keywords: Machinify Inc., Palo Alto , Analytics Engineer, Engineering , Palo Alto, California
Didn't find what you're looking for? Search again!
Loading more jobs...