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Hourly Data Analyst Startup Jobs (NOW HIRING)

Vendelux Inc

Lead Data Analyst

New York, NY · On-site

$130K - $180K/yr

Vendelux is seeking a Lead Data Analyst to drive and execute the strategic analytics roadmap for ... Previous startup experience or equivalent strongly preferred. Not all candidates will check all of ...

Motion Recruitment

Senior Data Analyst

Woburn, MA · On-site

$91K - $115K/yr

Full-time opportunity for a Senior Data Analyst at a robotics startup revolutionizing tire changing and wheel balancing through advanced automation, robotics, and AI. The company combines cutting ...

University of Rochester

$21.36 - $29.90/hr

Individual annual salaries/hourly rates will be set within the job's compensation range, and will ... Supports the development of methods for data collection, analysis, and reporting for assigned area.

Din Tai Fung North America

Data Analyst

Arcadia, CA · On-site

$117K - $146K/yr

Data Analyst Compensation: $117,000 - $146,000 Annual Salary The base salary or hourly wage range for this role will vary based on multiple factors, including but not limited to prior experience ...

Aquent

Data Analyst

Seattle, WA · On-site +1

$42 - $45/hr

Temporary Salary: $42-45 Hourly Start Date: Jun 22, 2026 We are seeking a prominent leader in its ... Oversee data integrations across various social media advertising platforms, site analytics tools ...

BCforward

Data Analyst

Golden Valley, MN · On-site

Data Analyst Duration: 2 Months Location ... Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE ...

Vouch, Inc.

Senior Data Analyst

San Francisco, CA · On-site

$140K - $170K/yr

We're a quickly growing startup that believes in transparency and acknowledgment with our team ... As Senior Data Analyst for our GTM team, you'll be the analytical engine that helps us win: turning ...

Capital One

Senior Data Analyst

Richmond, VA

$85K - $107K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst

Mclean, VA

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Metropolis

Senior Data Analyst

Seattle, WA · On-site

$129K - $175K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Bring excitement to working in a fast-paced, dynamic startup environment * Experience leveraging AI ...

Metropolis

Senior Data Analyst

New York, NY · On-site

$132K - $180K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Bring excitement to working in a fast-paced, dynamic startup environment * Experience leveraging AI ...

Metropolis

Senior Data Analyst

Nashville, TN · On-site

$103K - $139K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Bring excitement to working in a fast-paced, dynamic startup environment * Experience leveraging AI ...

HubAnalytics

Senior Quantitative Data Analyst

Cambridge, MA · On-site

$94K - $118K/yr

As a Quantitative Data Analyst, you'll design & implement marketing programs for a start-up company ... We are a startup, but are on the cusp of being profitable. Things You'll Like About HubAnalytics:

Capital One

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

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Hourly Data Analyst Startup information

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$82.6K

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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.
Lead Data Analyst

Lead Data Analyst

Vendelux Inc

New York, NY • On-site

$130K - $180K/yr

Full-time

Re-posted 7 days ago

Job description

Vendelux is transforming how companies discover, evaluate, and maximize the impact of events.
Event marketers are the driving force behind pipeline and brand - yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions.
Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer's dream. A key part of this is our growing network of event organizer partnerships - where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights.
In addition, Vendelux Meetings helps customers turn event insights into action - using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful.
Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Airbnb, FanDuel, Shutterstock, Compass and more.
Vendelux is seeking a Lead Data Analyst to drive and execute the strategic analytics roadmap for the company. Reporting into the Head of Data & AI, you will be a critical partner to executives and business teams to recommend data driven solutions and strategic opportunities, working collaboratively to make data actionable. Your experience defining key business metrics, uncovering impactful trends, and identifying customer insights will enable you to understand and measure product performance and customer retention to power business growth. Your technical skills in building data solutions, including data warehousing, data analysis, predictive analytics, and data visualization will help us develop a strong foundation for analytics at the company.
Scope of Responsibilities
  • Use data to generate actionable recommendations to optimize performance and drive business results.
  • Define, measure, and monitor KPIs that reflect underlying business dynamics. Develop dashboards to track progress towards key results.
  • Design and build data models to capture key information necessary for business insights by integrating data from various sources.
  • Work with engineering and business teams to understand data models, gather requirements, and design accurate and actionable business intelligence solutions.
  • Design customer-facing dashboards and visualizations to share insights and recommendations from our platform.
  • Lead the application of advanced analytics to model user behavior, uncover drivers of growth, and operationalize actionable insights.
  • Collaborate with operations, sales, and customer teams to share findings, implement recommendations, and generate feedback loops.
  • Communicate insights and results to peers and leaders, promoting a culture of collaboration and learning across teams via mentoring, documentation, presentations, or other knowledge-sharing methods.
  • Identify bottlenecks and implement improvements to our processes and tools. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work.
  • Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence.

Qualifications
  • Minimum 5 years of relevant data analytics or business intelligence experience in areas such as marketing analytics, product analytics, or strategy and operations.
  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business, Finance, Engineering etc.).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong proficiency in analytical tools such as SQL, Excel, Tableau or equivalent, cloud data warehouses.
  • Experience applying advanced analytics, statistical analysis, predictive modeling, and data visualization as needed to uncover and communicate insights from data.
  • Data model optimization skills to make BI processes more efficient and relevant is preferred.
  • Ability to translate complex data into actionable insights and recommendations, tailoring communications to diverse audiences.
  • Excellent verbal and written communication and presentation skills.
  • Execute tasks independently, with a strong ability to contextualize business performance.
  • Demonstrated leadership skills and the ability to thrive in a collaborative team environment.
  • Adaptability to a fast-paced and dynamic work environment.
  • Previous startup experience or equivalent strongly preferred.

Not all candidates will check all of the requirements listed above and that's ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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