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Data Analysis Manager Jobs in Secaucus, NJ (NOW HIRING)

Barclays

Data Strategy Manager

Whippany, NJ · On-site

The role involves providing data analysis, managing project plans, and collaborating with cross-functional teams to enhance data governance and quality control. Responsibilities : • Provide ...

USHG

Financial Planning & Analysis Manager

Manhattan, NY · On-site

$95K - $110K/yr

The Financial Planning and Analysis (FP&A) Manager will support all aspects of the financial ... You are data-driven. You have excellent organizational skills, attention to detail, and are able to ...

Orthodox Union

FP&A Manager

New York, NY · On-site

$140K - $175K/yr

The Financial Planning & Analysis Manager is a senior-level finance professional responsible for ... data into clear, actionable insights that strengthen financial discipline and support informed ...

Orthodox Union

FP&A Manager

New York, NY

$140K - $175K/yr

The Financial Planning & Analysis Manager is a senior-level finance professional responsible for ... data into clear, actionable insights that strengthen financial discipline and support informed ...

Orthodox Union

FP&A Manager

Manhattan, NY · On-site

$75/hr

The Financial Planning & Analysis Manager is a senior-level finance professional responsible for ... data into clear, actionable insights that strengthen financial discipline and support informed ...

Chicago Yachad

FP&A Manager

Manhattan, NY · On-site

$140 - $175/hr

The Financial Planning & Analysis Manager is a senior-level finance professional responsible for ... data into clear, actionable insights that strengthen financial discipline and support informed ...

New

Orthodox Union

FP&A Manager

Manhattan, NY

$140K - $175K/yr

The Financial Planning & Analysis Manager is a senior-level finance professional responsible for ... data into clear, actionable insights that strengthen financial discipline and support informed ...

New

The Greene Group

FP&A Manager

Manhattan, NY · On-site

FP&A Manager Our client is a late stage SaaS company in NYC that is experiencing significant year ... data to highlight performance * Define and implement best practices for financial management ...

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 ... and analysis across the organization * Collaborate closely with Data Engineering to design ...

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All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Secaucus, NJ

Data Analysis Manager information

See Secaucus, NJ salary details

$22.9K

$90.1K

$146.4K

How much do data analysis manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analysis manager in Secaucus, NJ is $90,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $110,300.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Secaucus, NJ?

The most popular types of Data Analysis jobs in Secaucus, NJ are:

What are popular job titles related to Data Analysis Manager jobs in Secaucus, NJ?

For Data Analysis Manager jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Secaucus, NJ look for?

The top searched job categories for Data Analysis Manager jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Data Analysis Manager jobs?

Cities near Secaucus, NJ with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Secaucus, NJ as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $90,143 per year, or $43.3 per hour.

Data Analyst III, Perfomance Analytics

Fanatics Betting & Gaming

New York, NY

Full-time

Re-posted yesterday

Job description

Team: FES Commercial (Fanatics ONE Loyalty & FanaticsApp Reports to: Data Analytics Manager, FES Commercial 

Job Summary

As the Performance Analyst III, you will play a key role in supporting the growth and success of Fanatics ONE (Loyalty) and FanaticsApp. Reporting to the FES Commercial Data Analytics Manager, you will be responsible for gathering and analyzing data across loyalty and app engagement, identifying trends, and providing actionable insights to inform strategies that drive member engagement, retention, and revenue. This role is ideal for an adaptive and detail-oriented individual who thrives in a fast-paced environment and has a passion for leveraging data to drive business decisions.

Key Responsibilities
  • Collect, clean, and organize large datasets from Fanatics ONE (Loyalty) and FanaticsApp to support engagement, retention, and revenue analysis.
  • Develop and maintain reporting dashboards to track performance metrics, including member engagement, FanCash earn/burn, tier progression, app DAU/MAU, retention/churn, and other KPIs across user segments.
  • Conduct ad hoc analyses to support strategic decision-making and uncover opportunities for growth and efficiency across the loyalty and app ecosystems.
  • Collaborate closely with the Sr. Performance Analyst, the Performance team, and key business stakeholders across Loyalty, App Product, and Marketing to provide the foundational data needed for strategic insights and initiatives.
  • Identify and communicate key trends, anomalies, and opportunities in engagement and loyalty performance metrics to stakeholders.
  • Partner with cross-functional teams (Product, Engineering, Marketing, Data Engineering) to ensure alignment and accuracy in data and reporting.
  • Continuously optimize data processes and reporting workflows to enhance efficiency and scalability.
What You'll Bring
  • Bachelor's degree in Business Analytics, Data Science, Economics, or a related field.
  • 4+ years of experience in data analysis, customer analytics, or related areas, preferably within loyalty programs, mobile app/product analytics, or the sports, betting, or technology industry.
  • Strong analytical skills with experience in data collection, analysis, and visualization tools (e.g., Sigma, Excel, SQL).
  • Exceptional attention to detail and the ability to work with large datasets while ensuring accuracy.
  • A self-starter mindset with a proven ability to learn quickly and adapt to changing priorities.
  • Solid understanding of loyalty program mechanics (points/rewards economics, tiering, redemption behavior) and/or mobile app engagement KPIs (funnels, retention curves, DAU/MAU) is a plus.
  • Excellent organizational skills with the ability to manage multiple projects and deadlines.
  • Clear and concise communication skills to present findings effectively to both technical and non-technical stakeholders.
  • A passion for data-driven decision-making and solving complex problems.
  • Experience with DBT, Snowflake a plus.


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