Senior Analytics Engineer
Company: Disability Solutions
Location: New York
Posted on: April 20, 2024
Job Description:
ABOUT THE ROLE The Enterprise Data team at Peloton works with
many teams to get the most out of their data. As an Analytics
Engineer you'll work with stakeholders to build models the right
way and serve as a thought leader on standard methodologies around
analysis. Peloton is looking for a versatile individual to join the
team to build and maintain foundational data infrastructure crucial
to gaining insights. YOUR DAILY IMPACT AT PELOTON This hire will be
instrumental in crafting the team's technical direction and growth.
We're looking for someone who can:
- Architect performant, accurate, and scalable dimensional data
models using dbt and LookML using DRY (don't repeat yourself)
principles
- Set up tests to ensure data quality, supervise daily job
execution, and diagnose/fix issues to ensure SLAs are met with
internal stakeholders
- Troubleshoot, diagnose, and resolve issues with data pipelines
urgently and thoroughly
- Understand business context and support analysts/business
stakeholders in crafting and standardizing source-of-truth Looker
Explores and Dashboards
- Detail your designs, prioritize data governance, and promote
best practices
- At Peloton, we've invested in a modern data tech stack
(Redshift, Airbyte, Airflow, dbt, Looker) and a world-class data
team. If you're passionate about using the best technology out
there and being part of a growing team that values teamwork,
proactivity, disciplined decision making, and knowledge sharing,
we'd love to hear from you. YOU BRING TO PELOTON
- 5-7 years experience in an analytics engineering, data
engineering, business intelligence, or technical data analytics
role supporting a variety of business domains (Serious plus: You've
worked with subscription and/or ecommerce based business
models)
- Demonstrated experience helping teams streamline and scale with
improvements to technical design, code review, and analytics
architecture
- Expertise in SQL and ETL optimization techniques, especially
within cloud-based data warehouses like Redshift, as well as use of
OSX command line and version control software. (Plus: Knowledge of
AWS ecosystem/CLI and data ingestion tools [e.g. Fivetran,
Stitch])
- Experience building Looker data models (LookML), data pipeline
management technologies with dependency checking (e.g. Airflow,
dbt), schema design, and dimensional data modeling
- Ability to leverage tools, business intuition, and attention to
detail for data validation and QA
- Excellent interpersonal skills, particularly when explaining
technical or sophisticated matters to less technical
co-workers
- Ability to document design and technical specifications in a
clear and concise way. [#LI-HYBRID] [#LI-TP2] The base salary range
represents the low and high end of the anticipated salary range for
this position based at our New York City headquarters. The actual
base salary offered for this position will depend on numerous
factors including individual performance, business objectives, and
if the location for the job changes. Our base salary is just one
component of Peloton's competitive total rewards strategy that also
includes annual equity awards and an Employee Stock Purchase Plan
as well as other region-specific health and welfare benefits. As an
organization, one of our top priorities is to maintain the health
and wellbeing for our employees and their family. To achieve this
goal, we offer robust and comprehensive benefits including: -
Medical, dental and vision insurance - Generous paid time off
policy - Short-term and long-term disability - Access to mental
health services - 401k, tuition reimbursement and student loan
paydown plans - Employee Stock Purchase Plan - Fertility and
adoption support and up to 18 weeks of paid parental leave - Child
care and family care discounts - Free access to Peloton Digital App
and apparel and product discounts - Commuter benefits and Citi Bike
Discount - Pet insurance and so much more! Base Salary Range
$154,100-$200,400 USD ABOUT PELOTON: Peloton (NASDAQ: PTON),
provides Members with expert instruction, and world class content
to create impactful and entertaining workout experiences for
anyone, anywhere and at any stage in their fitness journey. At
home, outdoors, traveling, or at the gym, Peloton brings together
immersive classes, cutting-edge technology and hardware, and the
Peloton App with multiple tiers to personalize the Peloton
experience [with or without equipment]. Founded in 2012 and
headquartered in New York City, Peloton has millions of Members
across the US, UK, Canada, Germany, Australia, and Austria. For
more information, visit www.onepeloton.com. At Peloton, we motivate
the world to live better. "Together We Go Far" means that we are
greater than the sum of our parts, stronger collectively when each
one of us is at our best. By combining hardware, software, content,
retail, apparel, manufacturing, Member support, and so much more,
we deliver an exhilarating fitness experience that unlocks our
members' greatness. Join our team to unlock yours. Peloton is an
equal opportunity employer and complies with all applicable
federal, state, and local fair employment practices laws. Equal
employment opportunity has been, and will continue to be, a
fundamental principle at Peloton, where all team members,
applicants, and other covered persons are considered on the basis
of their personal capabilities and qualifications without
discrimination because of race, color, religion, sex, age, national
origin, disability, pregnancy, genetic information, military or
veteran status, sexual orientation, gender identity or expression,
marital and civil partnership/union status, alienage or citizenship
status, creed, genetic predisposition or carrier status,
unemployment status, familial status, domestic violence, sexual
violence or stalking victim status, caregiver status, or any other
protected characteristic as established by applicable law. This
policy of equal employment opportunity applies to all practices and
procedures relating to recruitment and hiring, compensation,
benefits, termination, and all other terms and conditions of
employment. If you would like to request any accommodations from
application through to interview, please email:
applicantaccommodations@onepeloton.com Please be aware that
fictitious job openings, consulting engagements, solicitations, or
employment offers may be circulated on the Internet in an attempt
to obtain privileged information, or to induce you to pay a fee for
services related to recruitment or training. Peloton does NOT
charge any application, processing, or training fee at any stage of
the recruitment or hiring process. All genuine job openings will be
posted on our careers page and all communications from the Peloton
recruiting team and/or hiring managers will be from an @ email
address. If you have any doubts about the authenticity of an email,
letter or telephone communication purportedly from, for, or on
behalf of Peloton, please email
applicantaccommodations@onepeloton.com before taking any further
action in relation to the correspondence. Peloton does not accept
unsolicited agency resumes. Agencies should not forward resumes to
our jobs alias, Peloton employees or any other organization
location. Peloton is not responsible for any agency fees related to
unsolicited resumes.
Keywords: Disability Solutions, New York , Senior Analytics Engineer, Engineering , New York, New York
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