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Evening Data Analyst Startup Jobs in Georgia (NOW HIRING)

They are seeking a Finance Data Analyst to serve as the data engine for their finance team, working ... startup environment Preferred : • Familiarity with consumer lending, fintech, or financial ...

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

Solid SQL skills for data analysis and transformation * Previous startup experience - you understand the pace and adaptability required in a fast-moving environment * A pragmatic mindset focused on ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

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Evening Data Analyst Startup information

What is the difference between Evening Data Analyst Startup vs Evening Data Analyst Corporate?

AspectEvening Data Analyst StartupEvening Data Analyst Corporate
Work EnvironmentFast-paced, flexible, entrepreneurialStructured, hierarchical, process-driven
Required CredentialsRelevant degree, data analysis skills, startup experienceSimilar credentials, often with corporate-specific certifications
Industry UsageCommon in tech startups, small businessesPrevalent in large corporations, finance, consulting
Job FocusData insights for growth, product developmentOperational reporting, compliance, strategic analysis

Overall, Evening Data Analyst Startup roles tend to be more dynamic and flexible, focusing on growth-driven insights, while Evening Data Analyst Corporate positions emphasize structured processes and operational reporting within established organizations.

What are the most commonly searched types of Data Analyst Startup jobs in Georgia? The most popular types of Data Analyst Startup jobs in Georgia are:
What cities in Georgia are hiring for Evening Data Analyst Startup jobs? Cities in Georgia with the most Evening Data Analyst Startup job openings:

Finance Data Analyst

ClarityPay

Atlanta, GA • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
ClarityPay is a fast-growing fintech company redefining the point-of-sale credit market. They are seeking a Finance Data Analyst to serve as the data engine for their finance team, working cross-functionally to extract and analyze data that drives financial reporting and business decisions.
Responsibilities:
• Write, optimize, and maintain complex SQL queries to extract and analyze data across loan originations, portfolio performance, payment activity, and merchant transactions
• Build and maintain clean, reliable datasets and data pipelines to support recurring finance and risk reporting
• Perform ad hoc analyses to answer business questions across the credit, product, and finance teams
• Support the finance team with data pulls for monthly reporting, investor updates, and board materials
• Analyze portfolio-level metrics including origination volumes, delinquency rates, loss rates, prepayment speeds, and cohort performance
• Build and maintain dashboards in BI tools (Looker, Tableau, or similar) to give stakeholders real-time visibility into key metrics
• Partner with the Risk team to pull and analyze credit performance data, underwriting outcomes, and loss trends
• Work with the Product team to instrument new features, track performance metrics, and assess the financial impact of product decisions
• Translate raw data into clear, actionable insights for non-technical stakeholders
• Use Python to automate recurring data pulls, reporting workflows, and manual finance processes to improve efficiency and reduce operational overhead
• Partner with engineering to understand data models, ensure data quality, and flag anomalies
• Help build and document a scalable data foundation for the finance function
Qualifications:
Required:
• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field
• 2–4 years of experience in a data analyst, financial analyst, or similar role
• Strong SQL skills — comfortable writing complex queries, joins, window functions, and aggregations
• Proficiency in Python for data analysis and process automation (pandas, numpy)
• Experience with BI tools such as Looker, Tableau, or Power BI
• Ability to work cross-functionally and communicate data findings clearly to finance, risk, and product stakeholders
• Detail-oriented, intellectually curious, and comfortable working in a fast-paced startup environment
Preferred:
• Familiarity with consumer lending, fintech, or financial services data is a strong plus
Company:
ClarityPay is a financial services technology company that offers installment loans to consumers at the point of sale. Founded in 2024, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.