Analytics Engineer

| New York, NY, USA
Employer Provided Salary: $125,000-$145,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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About Sage

Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective.

Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.

About this Role 

This Analytics Engineer will be a pivotal member in our fast growing startup. As the second hire of the Data team, you will be responsible for ensuring the scalability, improvement, maintenance, and quality assurance of our data pipelines day to day and during critical phases of integration with external systems. You will work autonomously and bring a blend of technical expertise and strategic thinking to support reporting for internal and external clients.

Our stakeholders rely on data artifacts to make critical business decisions, so having a passion for data quality, meticulous attention to detail, and a commitment to creating reliable and accurate data solutions is important for this role.

Key Responsibilities

  • Data Governance: Lead initiatives to assure internal and external trust on data.
  • Data Pipelines: Lead and implement architectural improvements to the data pipeline to prepare it for scalability and to enhance performance. Integrate, test, and document new models developed by Sage product analysts and from external sources.
  • Reporting: Collaborate with the internal teams to update and scale existing data artifacts, and migrate some processing tasks to the data pipeline, ensuring efficient and effective reporting solutions for our clients.
  • Continuous Improvement: Conduct technical research and implement state-of-the-art methodologies as needed to increase efficiency, accuracy and overall business value.

Minimum Qualifications

  • A minimum of 3 years of post grad experience in analytics engineering or business intelligence at scale, with a strong record of developing and maintaining complex data pipelines and enforcing data quality processes.
  • A minimum of 1 year of post grad experience communicating core business metrics with data visualization and dash boarding tools (Tableau, PowerBI, Looker, Mixpanel, Hex, etc.), with a strong understanding of ties between data and business operations.
  • Non academic experience with Python, particularly with data related libraries (Pandas, NumPy, Scikit-Learn, or equivalent)
  • Exceptional communication and stakeholder management skills, comfortable supporting non-technical teams to reach their goals and managing expectations.
  • Ability to work independently and in a team environment, with a proactive approach to problem-solving and a focus on delivering results.
  • Entrepreneurial and self-starter spirit. You will be expected to actively identify, prioritize and solve for the needs of different teams and clients.

Preferred Qualifications

  • Experience with Hevo + Snowflake + dbt + Hex/Mixpanel is preferred
  • In particular, extensive experience with dbt can be a deciding factor, as it is the platform where most of the work is expected to happen.
  • Bachelor’s or Master’s degree in Computer Science or other Quantitative field
  • Experience building Machine Learning models in production environments.
  • Experience in the healthcare industry and familiarity with HIPAA and other healthcare compliance standards

Benefits and Pay

Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in office culture, we allow up to 2 remote days per week.

Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $125,000-145,000 USD, depending on your level of expertise, your experience, and your qualifications. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays.

EEO Statement

Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • DockerFrameworks
    • React NativeFrameworks
    • TerraformFrameworks
    • AnsibleFrameworks
    • KubernetesFrameworks
    • PostgreSQLDatabases
    • AWS (Amazon Web Services)Services
    • GitHubServices
    • GitLabServices

Location

We are located in the heart of the Flatiron District, easily accessible from all major NYC subway lines.

What are Sage Perks + Benefits

Sage Benefits Overview

Our benefits package for employees includes competitive base compensation along with stock options. We feel that you should be paid well for your contributions to our mission, and that you should stand to gain as we grow and succeed. We also provide fully-paid health and dental insurance coverage for all of our employees.

Culture
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Employee-led culture committees
Hybrid work model
In-person all-hands meetings
Employee awards
Diversity
Documented equal pay policy
Highly diverse management team
Mandated unconscious bias training
Mean gender pay gap below 10%
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental insurance
Vision insurance
Health insurance
Mental health benefits
Financial & Retirement
Company equity
Pay transparency
Child Care & Parental Leave Benefits
Generous parental leave
Return-to-work program post parental leave
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Paid holidays
Paid sick days
Company-wide vacation
Office Perks
Company-sponsored outings
Free daily meals
Free snacks and drinks
Company-sponsored happy hours
Professional Development Benefits
Job training & conferences
Promote from within

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