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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 ...

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 ...

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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Showing results 1-20

Data Analyst Startup information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do data analyst startup jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst startup in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

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:
Infographic showing various Data Analyst Startup job openings in Georgia as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Finance Data Analyst

ClarityPay

Atlanta, GA • On-site

Full-time

Re-posted 15 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.