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Data Analytics Jobs in Norwalk, CT (NOW HIRING)

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

Current

Director, Data Analytics

New York, NY · On-site

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions ...

Gartner

Manager, Data Analytics

Stamford, CT · On-site

Our teampowersfact-based decision making by providing client centric data, insights, and analytic tools to continuously improve ourbusines- operationally and strategically. Weare looking for ...

Current

Director, Data Analytics

New York, NY · On-site

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions ...

Gartner, Inc.

Manager, Data Analytics

Stamford, CT · On-site

Initiatives and projects involve data definition, data pull, technical understanding of Gartner data, analyze for insights, build recommendations, visualize data, scale through automated ...

Gartner

Manager, Data Analytics

Stamford, CT

Our teampowersfact-based decision making by providing client centric data, insights, and analytic tools to continuously improve ourbusines- operationally and strategically. Weare looking for ...

Rent the Runway

Data Analytics Manager

New York, NY · On-site

Manager, Data Analytics About Us: Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 ...

New

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model. * Partner directly with leadership and cross-functional ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model. * Partner directly with leadership and cross-functional ...

Oscar Health

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Oscar Health

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Oscar Health

Manager, Data Analytics

New York, NY · On-site

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and ...

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All JobsData Analytics JobsData Analytics Jobs in Norwalk, CT

Data Analytics information

See Norwalk, CT salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for 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 kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 Data Analytics jobs in Norwalk, CT? For Data Analytics jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Norwalk, CT look for? The top searched job categories for Data Analytics jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Data Analytics jobs? Cities near Norwalk, CT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Norwalk, CT as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $114,304 per year, or $55 per hour.

Director, Data & Analytics

MoonPay

New York, NY • On-site

$410K/yr

Full-time

Retirement

Posted 14 days ago

Job description

About MoonPay

MoonPay is for builders with something to prove.

This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.

AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.

You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.

The bar is high. The pace is real. We're building for what's next, for humans and agents.
Recent recognition:
Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100, 
The Sunday Times Best Places to Work two years running.
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.

______________________________________________________________________________________________________

About the role

As Director of Data & Analytics, you'll own Product Data & Analytics across Product & Engineering, reporting to the CTO, Ramps & Platform. You'll have a real mandate: build out the team, define how it operates, and make it the reason MoonPay ships better products faster. The metrics, experimentation, and data infrastructure that Product, Engineering, and Leadership rely on to decide what to build next will be yours to shape.

This is a builder's role. You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for rigor, design the structure and career paths that let each discipline do its best work, and scale the function alongside one of the fastest-growing companies in crypto. If you've wanted to take a data organization to the next level, with executive backing and a business that genuinely depends on it, this is that opportunity.

What you will do

  • Own the direction, roadmap, and operating model for Product Data & Analytics

  • Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)

  • Design the org structure, leveling, and career paths that let each discipline scale as the team grows

  • Standardize how product metrics, experimentation, and analytics get built and consumed across MoonPay, replacing one-off analysis with reusable, trusted data products

  • Partner directly with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle, from problem definition through post-launch measurement

  • Set technical and quality standards across the team's work: data modeling conventions, experimentation methodology, dashboarding and reporting practices

  • Represent data and analytics needs in cross-functional planning with Product, Engineering, Finance, Operations, and Compliance

  • Mentor team leads and senior ICs, building a bench of future managers within the function

  • Report on team health, hiring progress, and analytics impact to senior leadership

About you

  • 10+ years of experience in data science, analytics, or analytics engineering, with significant time in a management or leadership role

  • A track record of building and scaling a data/analytics function from the ground up or through a high-growth phase, including hands-on hiring across multiple disciplines

  • Deep experience partnering with Product and Engineering teams to embed analytics and experimentation into how products get built

  • Strong technical fluency across the disciplines you'll manage. You don't need to write production code daily, but you can evaluate tradeoffs in data modeling and experimentation design

  • Excellent stakeholder management skills, with experience communicating clearly to executives, engineers, and cross-functional partners alike

  • Experience working within fintech, payments, or crypto is a strong plus

  • An active interest in cryptocurrency and Web3, and comfort operating in a fast-moving, less-defined environment

Salary Bandings: $360-410k USD

______________________________________________________________________________________________________

Benefits & Perks

  • Competitive salary package

  • Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay

  • Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards

  • Moonshot award: we honor exceptional impact. 10 employees twice a year, each earning a $250,000 equity grant

  • Pension: employer contributions from day one

  • Employee referral program: refer great people, earn 10K in USDC

  • Flexible Time Off: choose when to work and when to switch off

  • Birthday leave: take the day off to celebrate you

  • Enhanced parental leave: more time with family, no second thought

  • Hybrid working schedule: work fully remotely or from your nearest Moonbase

  • Commuter benefits: public transport to and from the office

  • Private healthcare benefits: to protect you and your loved ones

  • Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership

  • Unlimited enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next

  • Lunch credit: meals covered on the days you're in the office

  • Home office setup allowance: build the home office of your dreams

  • Remote working allowance: those working fully remotely get a little extra for utilities

  • Monthly product budget and zero-fee crypto transactions

  • $1,000 Annual training budget: we support your learning journey

  • High Potential Program: structured development, mentorship, and stretch opportunities

  • Regular remote company offsites: high-impact in-person sessions and hackathons

  • (Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit

  • (UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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