Jobs Companies Brigit Lead Data Analyst, Product

Sobre esta vaga de Lead Data Analyst, Product na Brigit

Brigit · Híbrido · New York City (Hybrid)

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

Role Overview:

The Membership pod owns our cross-product customer experience. As the Lead Product Analyst embedded with the team, you will have a huge impact. You will help identify opportunities, prioritize initiatives and influence strategy by leveraging your analytics expertise, keen product sense and knack for pattern recognition.

As the Lead Product Analyst, you are also responsible for the technical architecture of our experimentation framework and the integrity of our growth metrics. You will build data models, automation workflows, and statistical tests that drive our product roadmap.

What you'll be doing:

  • Act as a core product thinker within the membership pod. Analyze user journeys to identify friction points and proactively recommend product changes that drive retention and LTV.

  • Become embedded with the product, design and engineering teams to define key metrics and answer important questions and influence product roadmap.

  • Conduct analysis and opportunity sizing to find opportunities for improvement and turn the hypothesis into actionable and well-designed experiments (A/B Testing)

  • Identify KPIs and develop dashboards to monitor the metrics, the progress we’ve made towards our goals and the key levers

  • Communicate results through written and verbal presentations, influence stakeholders, and be the trusted thought partner for the product, design and engineering

  • Build and maintain the dbt transformation layer and semantic models to ensure a single source of truth for membership KPIs.

  • Develop agentic analytics workflows to automate trend detection, anomaly alerting, and standard reporting allowing you to spend more time on deep-dive strategic analysis.

  • Lend your expertise to help your teammates and coworkers to improve processes and performance.

What you have:

  • Bachelor’s degree in Business, Finance, Economics, Statistics, or equivalent quantitative field

  • 7 years experience in Business Intelligence, Analytics, Data Science or quantitative analysis related fields.

  • Experience with SQL and scripting in one or more languages (Python or R) for automation and data manipulation

  • Ability to synthesize often ambiguous problems into a hypothesis-driven data investigation to weave a story together.

  • Ability to then present the story employing data visualization to improve stakeholder understanding and steer strategic initiatives.

  • Ability to communicate qualitative and quantitative results in verbal and written communications for technical, business and executive audiences.

  • Experience translating user behavior data into specific product improvements

  • Demonstrated capacity to manage collaborative relationships and assert influence without authority, particularly when working with product managers, design, marketing and engineering teams.

  • Ability to succeed in a fast-paced and often ambiguous work environment

  • Ability to thrive in a remote and sometimes ambiguous environment.

The anticipated annual base salary for this position is $155,000 - $170,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

 

Our Benefits & Team:

  • Medical, dental, and vision insurance

  • Flexible PTO Policy

  • 401k plan

  • Paid Parental Leave

  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support

  • Monthly reimbursements to use against wifi and cell phone bills

  • Annual reimbursement for Learning & Development

  • Help hard working Americans build a brighter financial future

  • High-growth company

  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.

Disclosures:

  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.

  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

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Como este salário de Data Analyst se compara

Esta vaga paga $162,500/yracima da faixa típica para vagas de Data Analyst.

$54,950 a mediana $109,000 $175,000

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