Lead, Analytics Engineering

Snap Finance
Remote in Salt Lake City, UT Full Time
POSTED ON 5/12/2022 CLOSED ON 9/27/2022

Job Posting for Lead, Analytics Engineering at Snap Finance

Are you looking for a friendly, fast-paced workplace with an emphasis on helping customers and empowering team members? Snap Finance is a thriving leader in the financial services industry, and our team members are the foundation of our success. Snap knows that happy, empowered, and engaged team members are essential to innovation and business success- and our approach is working. Come join us!

Snap Finance is a rapidly growing FinTech company focused on digital disruption in the $1 trillion financial service industry. Our proprietary technology platform and machine-learning decisioning algorithms are changing the face and pace of consumer retail finance. FinTech is the combination of technology and finance and is at the forefront of the next generation of emerging disruptive technologies with the ability to democratize the lending process for all consumers. Snap has a strong supportive culture and is dedicated to its customers, merchant partners, and team members.

Our team members are modern day shopkeepers that blend traditional steadfast commitment to service and top results with the speed and energy of today. We take ownership of our responsibilities and are accountable for our actions.

We are looking for an Analytics Engineering Team Lead, to join our team at our. The ideal candidate will have some industry experience and will have a passion for building and documenting data models as well as developing people.

This person will take their expertise and apply it to exciting and diverse data to empower cutting edge and world class analytics, while developing their team, guiding, and inspiring them to be their best!


The Job…

  • Lead a team of Analytics Engineers to develop and maintain data models, create data pipelines, and maintain data integrity in the analytics data ecosystem
  • Collaborate with Data Engineering and Business Intelligence Engineering to improve the maturity and integrity of analytics data assets
  • Represent the analytics department in major cross-functional initiatives
  • Supervise the learning, development, and career progress of the Analytics Engineering team
  • Own the strategic development of Analytics Engineering tools, and best practices
  • Manage tools and methods for documenting major data sources
  • Conduct industry research and monitor trends in Analytics Engineering domain to help establish the strategic direction and practices of the team
  • Interact with stakeholders to gather and negotiate requirements, and maintain effective working relationships
  • Lead strategic projects with cross-functional teams

You…

  • Fluency in English, both in oral and written form
  • Authorized to work in the United States
  • Master's degree or equivalent practical experience (or PhD preferred) in a technical field such as computer science, information systems, mathematics, engineering, etc.
  • 4 years' experience in one or more of the following areas: analytics engineering, data model development, software development, data engineering, BI engineering

Skills, Experience & Qualifications Required

  • Strong background in Python
  • Strong background in SQL
  • Deep knowledge of Data Modeling and best practices
  • Demonstrated advanced knowledge of a variety of data sources
  • Experience with structured and unstructured data
  • Strong knowledge of data model development best practices
  • Experience with AWS cloud services such as EC2 and S3
  • Familiarity with common computing environment (e.g. Linux, Shell Scripting)
  • Demonstrated ability to execute on a strategic vision

Preferred Skills (3 of the following):

  • Experience with database design
  • Worked with Streaming Data (Spark, Kafka), Graph Data, or APIs
  • DBT power user
  • Experience with data and automation workflows: Airflow, Docker, Jenkins, etc.
  • Experience with developing and maintaining data pipelines for any of the following programs: SalesForce, Tableau, InContact, Amplitude or other click-stream data source, HubSpot
  • Databricks power user

Personal Characteristics:

  • Demonstrates many of the follow leadership traits: visionary, motivator, assertive, accountable, supportive, decisive, thought-provoking, empathetic, and humble
  • Experience managing the work and priorities of others as a supervisor or senior team-member
  • Excellent listener
  • Sincere desire to help grow the careers of others
  • Strong analytical and problem-solving skills
  • Leads by example in setting a high standard for quality of work
  • Structured, organized and detail-oriented
  • Proactive, enthusiastic, and flexible
  • Ability to take projects from conceptualization to implementation
  • Committed to uphold and exemplify the company and team values
  • Excellent communication skills with the ability to clearly explain technical topics to a non-technical audience
  • Ability to prioritize work according to area and business needs

Why You'll Love It Here…

  • Unlimited PTO
  • Competitive medical, dental & vision coverage
  • 401K with company match
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Legal coverage and other supplemental options
  • Pet insurance, free snacks, and fun events
  • A value-based culture where growth opportunities are endless

More…

Snap values diversity, and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Learn more by visiting our website at www.snapfinance.com

California Residents please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice


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Salary.com Estimation for Lead, Analytics Engineering in Remote in Salt Lake City, UT
$121,596 to $151,769
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