Remote - Lead Analyst, Business Analytics

Work set-up: 
Full Remote
Contract: 
Salary: 
97 - 97K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Data Science, Math, Statistics, or related field., At least 6 years of experience in business analytics or data science., Proficiency in SQL, Python, R, and data visualization tools like Tableau or Power BI., Strong analytical, problem-solving, and communication skills..

Key responsibilities:

  • Lead analytical projects supporting SBTPG’s product portfolio.
  • Analyze large datasets and develop data models and reports.
  • Collaborate with stakeholders to identify key business questions and provide insights.
  • Ensure data accuracy and promote data-driven decision-making across the organization.

Green Dot Corporation logo
Green Dot Corporation Financial Services Large https://www.greendot.com/
1001 - 5000 Employees
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Job description

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.

At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.

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JOB DESCRIPTION

Job Title: Lead Analyst, Business Analytics

Job Summary: The Lead Analyst, Business Analytics – SBTPG will drive high-impact analytical initiatives that support SBTPG’s tax product ecosystem. This role requires advanced analytical skills, business acumen, and the ability to independently manage complex projects. The Lead Analyst will collaborate with cross-functional teams to deliver actionable insights and support data-driven strategies.

Key Responsibilities:

  • Lead analytics projects that support SBTPG’s product portfolio, including FCA, RT, and small business loan programs
  • Collect, analyze, and interpret large datasets from various sources
  • Develop and maintain data models, dashboards, and reports to visualize key metrics and trends
  • Collaborate with stakeholders and cross-functional teams to identify key business questions and develop analytical solutions to address them
  • Ensure data accuracy and integrity through rigorous validation and quality control processes
  • Translate complex data into clear, actionable insights and recommendations based on data analysis to support business objectives
  • Build relationships and provide analytical guidance to key business stakeholders and leaders
  • Working closely with strategic initiative owners, synthesize inputs from multiple sources and stakeholders to support part of the end-to-end strategic planning process (target setting, idea creation, debate, planning, resource allocation, accountability)
  • Formulate and implement a comprehensive analytics strategy aligned with growth and innovation goals including setting short-term and long-term priorities that boost decision-making and competitive positioning
  • Support development of scorecard models and provide data to support the Fast Cash Advance (FCA) product
    • Gather tax return, historical, and 3rd party data to predict likelihood of IRS Refund payment
    • Apply statistical techniques and predictive modeling to support business analysis and risk assessment
    • Produce model documentation required for Model Risk Management and/or Bank review and approval
    • Perform required model testing and validations
  • Stay updated with the latest trends and technologies in data analytics and implement best practices.
  • Document data processes and maintain comprehensive records of data sources and methodologies
  • Lead initiatives that enhance data literacy across the organization and drive a cultural shift towards analytics-driven decision-making

Qualifications:

  • Bachelor's degree in Data Science, Math, Statistics, Computer Science, or a related field
  • 6+ years of experience in business analytics, data science or a related role
  • Proficiency in data analytics tools and technologies, such as SQL, Python, R, Amazon SageMaker, SAS, and data visualization tools like Tableau or Power BI
  • Strong analytical and problem-solving skills
  • Experience with consumer lending and underwriting model development
  • Proven ability to deliver strategic insights, partner with cross-functional teams, and communicate with executive stakeholders
  • Strong communication skills with the ability to translate complex data into executive-level insights
  • Experience with data governance and ensuring data accuracy and integrity
  • Ability to manage multiple priorities in a fast-paced remote environment

Preferred Skills:

  • Experience in the tax, financial technology or banking industries
  • Knowledge of machine learning and artificial intelligence techniques
  • Familiarity with cloud-based data platforms and big data technologies

POSITION TYPE

Regular

PAY RANGE

The targeted base salary for this position is $97,100 to $145,500 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.

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Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.

Work Authorization Requirement
At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Analytical Skills
  • Problem Solving

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