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Hourly Data Analytics Jobs in Norwalk, CT (NOW HIRING)

Carlyle

Data and Analytics - Contract

New York, NY · On-site

$10K - $12K/mo

Data and Analytics - Contract Location: New York/OVA Line of Business: Global Corporate Affairs Job Function: Investor Services Date: Wednesday, April 15, 2026 Position Summary This Data & Analytics ...

1-800-Flowers

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid understanding of data modeling concepts (e.g., star schemas, fact and dimension tables). * Ability ...

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Skylimit Systems

Data analyst

New York, NY

$60K - $65K/yr

Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, or a related field * 0-3 years of experience in data analysis or a similar role (internships included) * Strong proficiency in ...

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$24

$54

$94

How much do hourly data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for hourly data analytics in Norwalk, CT is $54.95, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $62.26 per hour, depending on experience, location, and employer.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Norwalk, CT? The most popular types of Data Analytics jobs in Norwalk, CT are:
What are popular job titles related to Hourly Data Analytics jobs in Norwalk, CT? For Hourly Data Analytics jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Hourly Data Analytics jobs in Norwalk, CT look for? The top searched job categories for Hourly Data Analytics jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Hourly Data Analytics jobs? Cities near Norwalk, CT with the most Hourly Data Analytics job openings:
Hourly Data Analytics jobs near you
Infographic showing various Hourly Data Analytics job openings in Norwalk, CT as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $114,304 per year, or $55 per hour.
Global Head of Claims Data & Analytics

Global Head of Claims Data & Analytics

Starr Insurance Companies

New York, NY • On-site

Full-time

Posted 7 days ago

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

We are seeking a seasoned and visionary leader to serve as ourGlobal Head of Claims Data & Analytics. This senior executive will define and drive our enterprise-wide data and analytics strategy, enhancing organizational decision-making and supporting profitable growth. The role will champion a data-driven culture, ensuring the company leverages advanced analytics, data governance, and business intelligence to improve claims management, key operational metrics and customer experience.

Key Responsibilities

  • Lead, develop, and mentor a high-performing global claims data & analytics team, fostering collaboration across underwriting, claims, actuarial, finance, and IT.
  • Design and implement a comprehensive data and analytics strategy aligned with the organization's vision and business objectives.
  • Oversee enterprise data governance, quality, security, and compliance initiatives, ensuring data integrity and regulatory compliance (e.g., GDPR, CCPA).
  • Drive the adoption of predictive modeling, machine learning, and advanced analytics solutions for, claims, , fraud detection, and operational efficiency.
  • Participate in the selection and integrate of leading-edge data technologies, platforms, and tools to support scalable and agile analytics infrastructure.
  • Foster a data-driven culture by promoting analytics literacy and best practices acrossthe global claim organization.
  • Establish key performance indicators (KPIs), metrics dashboards, and reporting frameworks to measure progress and impact.
  • Partner with external vendors, data providers, and technology partners to expand data sources and capabilities.
  • Stay ahead of industry trends, regulatory changes, and disruptors in data & analytics within the Insurance sector.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
  • 10+ years' progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
  • Proven expertise operationalizing data-driven solutions.
  • Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
  • Exceptional leadership, communication, and stakeholder management skills.
  • Strong project management,vendor management and communication skills.

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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