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Senior Data Analyst Jobs in East Rutherford, NJ (NOW HIRING)

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

You will join the Data team, partnering closely with Product, Growth, Risk, and Finance. What You'll Do * Build and maintain the dbt models and metric definitions that power analytics across the ...

Senior Data Analyst (NYC)

New York, NY · On-site

$110K - $130K/yr

Title: Sr. Data Analyst (NYC) Location: New York City (Hybrid) Salary Range: $110,000-$130,000 base salary Employment Type: Full-time About RealSelf For two decades, RealSelf has been the most ...

Senior Data Analyst

New York, NY · On-site

$110K - $125K/yr

Conduct data analysis on large datasets & apply segmentation/clustering/regression/EDA to support client management/market intelligence/pricing strategies. * Collaborate with business/product/finance ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making. Responsibilities : • Own and evolve our core data models ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the business. Responsibilities : • Own and evolve our ...

Sr. Data Analyst

New York, NY · On-site

$120K - $135K/yr

Qualifications -Experience of working on corporate banking products -Strong data analytics, SQL skills, BigQuery -Hands-on experience on large datasets -Understanding of Agile framework -Banking ...

Senior Data Analyst

New York, NY · On-site

$160K - $180K/yr

Uphold trust in data by ensuring accuracy, consistency, and quality across reporting pipelines. * Translate business questions into clear analytical approaches, and present findings in compelling ...

Sr. Data Analyst

New York, NY · On-site

$115K - $141K/yr

Outstanding analytical and problem-solving skills with the ability to manipulate data sets to identify patterns and insights, and recommend actionable strategies * Excel in data storytelling and ...

Role Overview As a Senior Data Analyst, Product, you will partner with our product team to strengthen data-informed decision making by defining sharp success metrics. You will dive deep into our ...

Senior Data Analyst, Data Products

Manhattan, NY · On-site

$94K - $119K/yr

About The Role The Corporate Data Team is seeking a Senior Data Analyst to help define and measure the success of Hearst's enterprise data products. This role will develop analytical products and ...

About The Role The Corporate Data Team is seeking a Senior Data Analyst to help define and measure the success of Hearst's enterprise data products. This role will develop analytical products and ...

About The Role The Corporate Data Team is seeking a Senior Data Analyst to help define and measure the success of Hearst's enterprise data products. This role will develop analytical products and ...

Showing results 41-60

Senior Data Analyst information

See East Rutherford, NJ salary details

$56K

$101.1K

$138.1K

How much do senior data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data analyst in East Rutherford, NJ is $101,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $110,500.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
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For Senior Data Analyst jobs in East Rutherford, NJ, the most frequently searched job titles are:

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Senior Data Analyst

Comun

New York, NY • On-site

$94K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

About Común
Comun's mission is to help Hispanic immigrants turn their hard work into upward mobility - starting with financial services that support their transition from a cash-based system to the digital economy.
We offer checking accounts that can be opened using 100+ types of Latin American IDs, access to over 90K locations nationwide to deposit cash, international transfers to 17 countries at market-leading rates, and 24/7 bilingual customer support with <5 min SLA across email, chat, and phone.
We currently process over $1.5B in annual transaction volume and surpassed $100M in annualized international transfers just six months after launch. Comun has raised +$50M from top investors including Redpoint, Costanoa Ventures, and South Park Commons. Our team brings experience from leading fintech companies like Brex, Nubank, and Mercury.
We believe immigrants are the ultimate entrepreneurs - driven by relentless ambition and a vision for a better future for their families. Comun exists to serve them throughout their journey.
Learn more at comun.app/nosotros
Article here
About the Role
This role focuses on delivering high-quality analytics at scale across Comun, split across two key areas:
  1. Designing and owning canonical data models in our warehouse, and delivering the dashboards, monitoring, and research that turn that data into decisions. You'll own specific domains end to end (e.g. reconciliation, remittances, risk): deciding what gets measured, building the pipelines and definitions behind it, and clearly framing insights to drive decision making.
  2. Pushing the boundaries of our data platform and infrastructure to enable trusted AI outcomes on our data. As we scale, that means expanding our warehouse context and semantic layer, exploring new tools and integrations, and driving toward an AI-native warehouse and data product, with an obsessive focus on the trust and quality of outcomes generated through agentic processes.

You will join the Data team, partnering closely with Product, Growth, Risk, and Finance.
What You'll Do
  • Build and maintain the dbt models and metric definitions that power analytics across the business, so every team works from the same numbers
  • Build the semantic layer that gives AI agents and stakeholders the context and structure to use data reliably, turning raw domain data into trusted, reusable assets
  • Own measurement, reporting, and analysis end to end for specific domain areas; decide what gets measured, how, and why
  • Partner with Product, Growth, Risk, and Finance on high-stakes questions (feature impact, funnel drop-off, fraud and loss trends, cohort behavior) with rigor
  • Own dashboards and self-serve tooling in Hex so stakeholders get trustworthy answers without waiting on a one-off query
  • Communicate data driven findings clearly to stakeholders and leadership, without flattening the nuance or overstating what the data supports

Requirements
  • Strong SQL, Python, dbt, and a BI/notebook tool (Hex, Looker, Mode, or similar): these are the core of the role
  • 3+ years in a data analyst, analytics engineer, or similar role, ideally with direct ownership of a business domain
  • Experience with a modern warehouse (Snowflake, BigQuery, Redshift, or similar)
  • Some exposure to financial data (payments, banking, lending, or similar), including reconciliation and settlement concepts
  • Real, demonstrable use of AI tools in your analytics workflow; come ready to name the tool, the workflow it accelerated, and the outcome
  • A clear communicator who can explain a data-driven conclusion to a PM or exec without losing the nuance
  • Nice to have: experience in a regulated financial product, fraud/risk analytics or credit modeling, reverse-ETL tools (Hightouch, Census), orchestration tools, or experience owning a semantic layer for LLM/agent-driven querying.

You'd Be a Great Fit If You
  • Highly motivated by driving business decisions forward, and enjoy working with cross-functional teams
  • Care irrationally about the quality and correctness of core metric definitions
  • Want to keep pushing your skills forward by leveraging the power of AI
  • Are willing to get hands-on in areas outside your expertise, given capabilities that AI has unlocked
  • Have a strong work ethic, and want to work in person with a high-performing team

Team
We are a team of 40 based out of New York, coming from industry-leading companies like Brex, Nubank, Cruise, and Verkada. Over half of us are immigrants, and have experienced the problems we're solving first hand. We value customer focus, high ambition, principled decision-making, and deep trust.
Full Time Employee Benefits
  • Competitive salary and generous equity
  • Medical, dental, and vision insurance
  • Gym Pass subscription
  • Daily office lunch in NYC Office
  • Paid parental leave
  • Flexible PTO
  • Remote-friendly when traveling
  • Company-wide offsites
  • 401(k) for US employees
  • Visit to our NYC Office for remote team members
  • Visa sponsorship if applicable

Común is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.