GigFinder.ai
Posted 51 days agoVerified live 1d ago
Data Analyst
Brief overview
Remote
UndergradOr in progress
$3k–$7k/moStated range
3+ yrsMinimum
SQLPythonData VisualizationRedashTableauLookerPower BIData AnalysisMachine LearningRedshiftPostgreSQLdbtBusiness Judgment
About the company
GigFinder.aiGigFinder.ai
GigFinder was founded on a simple premise: the traditional job search is broken.
Job description
Summary
Sezzle is a fintech and retail technology company revolutionizing shopping through interest-free installment plans and data-driven consumer and merchant experiences. The Data Analyst will partner with cross-functional teams to define metrics, build reporting solutions, perform analyses, develop dashboards, and deliver actionable insights that improve business outcomes and operational efficiency.
Responsibilities
- Work closely with business teams to understand their priorities and analytics needs
- Create sophisticated analyses and reporting to provide insights at scale that support strategic initiatives and empower data-informed decision-making
- Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
- Help stakeholders identify new opportunities through data analysis
- Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses
- Utilize modern AI tools, including LLMs, copilots, and workflow automation platforms, to enhance analytical productivity and develop scalable solutions to business problems
Skills
- Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
- Masters degree or 3+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
- Expert in using SQL to extract data and create actionable data sets
- Experience with Python for data processing and analytics
- Ability to complete analyses with minimal guidance
- Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
- Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
- Excellent problem-solving skills
- Strong business judgment and communication skills
- Fluent in English
- Graduate degree in a quantitative discipline
- Experience optimizing operational and financial performance
- Experience in payments, financial services, banking, fintech, BNPL
Qualifications
Must Haves
- Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
- Masters degree or 3+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
- Expert in using SQL to extract data and create actionable data sets
- Experience with Python for data processing and analytics
- Ability to complete analyses with minimal guidance
- Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
- Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
- Excellent problem-solving skills
- Strong business judgment and communication skills
- Fluent in English
Nice to Haves
- Graduate degree in a quantitative discipline
- Experience optimizing operational and financial performance
- Experience in payments, financial services, banking, fintech, BNPL