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Hourly Data Analyst Startup Jobs (NOW HIRING)

Sundaysky

Data Analyst

New York, NY

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... analytical mind with creative problem-solving skills to use data to drive success. The ideal ...

Sundaysky

Data Analyst

New York, NY · On-site

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... Building proactive analysis through data mining to identify trends and opportunities for product ...

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered ... About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ...

Hayden AI

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics ... Prior experience in a startup environment and a desire to make a significant impact.

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Lean Startup lets us turn those ideas into business models that work, quickly and for the least ...

SafeLease Insurance Services LLC

Data Analyst

Austin, TX · On-site

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our ... Experience working in a startup or early-stage data team where you had to build the foundation, not ...

Numeral, Inc.

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable ... Startup mindset: Not scared of ambiguity and hungry for rapid growth * Intensity & Ownership: This ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Compa

Compensation Data Analyst

San Francisco, CA · On-site

$100K - $145K/yr

About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a ... The Role: The Compensation Data Analyst plays a critical role in maintaining trust in Compa ...

Lemonade

Data Analyst

New York, NY · On-site

We take pride in the fact that we still think and operate like a startup. We don't care much about ... for a Data Analyst to help turn Finance, Compliance, Insurance, and Actuarial questions into ...

Kforce Technology Staffing

Data Analyst

Durham, NC · On-site

The Data Analyst consulting is focused on using data to uncover insights that drive action and ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

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Hourly Data Analyst Startup information

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$34K

$82.6K

$136K

How much do hourly data analyst startup jobs pay per year?

As of Jul 7, 2026, the average yearly pay for hourly data analyst startup in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst at a startup, and why are they important?

To thrive as an Hourly Data Analyst at a startup, you need strong analytical skills, proficiency in statistics, and experience with data manipulation, often supported by a relevant degree or coursework. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau or Power BI is typically required. Standout candidates possess problem-solving abilities, adaptability, and effective communication to translate data into actionable insights in a dynamic environment. These skills are crucial for driving data-informed decisions and supporting rapid growth and innovation in the startup setting.

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

AspectHourly Data Analyst StartupHourly Data Analyst Corporate
Work EnvironmentFast-paced, flexible, often small teamsStructured, larger teams, formal processes
Required CredentialsRelevant degree, data analysis skills, sometimes certificationsSimilar credentials, often with additional industry-specific certifications
Industry UsageStartups across tech, finance, marketingLarge corporations in various sectors
Work FocusRapid project turnaround, innovationLong-term data management, reporting

Hourly Data Analyst startup roles typically involve a fast-paced environment with flexible hours and a focus on quick, innovative solutions. In contrast, corporate roles tend to be more structured with formal processes and long-term data projects. Both roles require similar credentials, but the work environment and focus differ significantly.

What are some common challenges faced by an Hourly Data Analyst at a startup, and how can I prepare for them?

As an Hourly Data Analyst in a startup environment, you may encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. Startups often require analysts to work with incomplete or messy data and to quickly provide actionable insights for fast-paced decision-making. To prepare, it's beneficial to strengthen your adaptability, communication, and problem-solving skills, as well as familiarize yourself with a range of data tools and technologies. Collaborating closely with cross-functional teams—such as product, engineering, and marketing—is also key to success in this dynamic setting.

What does an Hourly Data Analyst at a startup do?

An Hourly Data Analyst at a startup is responsible for collecting, processing, and analyzing data to help the company make informed decisions. This role often involves working with large datasets, creating reports, and visualizing trends to support various business functions. Since startups are fast-paced, an hourly data analyst may also assist with data cleaning, database management, and implementing analytics tools. Their work helps identify areas for growth, improve processes, and measure key performance indicators. Flexibility and adaptability are important, as tasks and priorities can change rapidly in a startup environment.
More about Hourly Data Analyst Startup jobs
What cities are hiring for Hourly Data Analyst Startup jobs? Cities with the most Hourly Data Analyst Startup job openings:
What are the most commonly searched types of Data Analyst Startup jobs? The most popular types of Data Analyst Startup jobs are:
What states have the most Hourly Data Analyst Startup jobs? States with the most job openings for Hourly Data Analyst Startup jobs include:
What job categories do people searching Hourly Data Analyst Startup jobs look for? The top searched job categories for Hourly Data Analyst Startup jobs are:
Hourly Data Analyst Startup jobs near you
Infographic showing various Hourly Data Analyst Startup job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Sundaysky

New York, NY

Full-time

Posted 7 days ago

Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success.

The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you. In a fast paced, ever-changing environment, you will be involved in the following - Building proactive analysis through data mining to identify trends and opportunities for product optimization.

Finding areas of opportunity to drive revenue in a digital advertising campaign. Proving value to strategic clients by developing data-driven stories in dynamic presentations. Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.

Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky. Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues. Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.

Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports. Become an expert in industry, customer and SundaySky measurement methodologies. Requirements: The ideal candidate will have the following experience and skillset: Minimum 3 years of experience in business analytics or digital advertising environment Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones.

Balances desire for quantitative rigor with realities of inconsistent business data Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives Experience with the following tools: MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint BI & Analytics Tools (Tableau, MicroStrategy, SAS) Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc. Open source statistical software: R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with data visualization and/or an eye for design Proactive, independent thinker with high energy and positive attitude Bachelor's degree (B.A. or B.Sc.) or equivalent

Experience with ecommerce / digital advertising best practices Willingness to take coaching for continuous personal development Experience working with a distributed team of Sales managers, project managers and technical support. Must be authorized to work in the US

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