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Data Analytics Director Jobs in Edison, NJ (NOW HIRING)

City of New York

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

Reporting to the Senior Director of Compliance and Quality Assurance, the selected candidate ... Research and provide additional data and analysis. -Assist other business units with special ...

Mercor

RCM Analytics Director - AI Tools

New York, NY · Remote

$100/hr

Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations . * Evaluate AI-generated revenue cycle analytics outputs ...

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Data Analytics Director information

See Edison, NJ salary details

$73.5K

$163.7K

$253.1K

How much do data analytics director jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analytics director in Edison, NJ is $163,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $186,300.00 per year, depending on experience, location, and employer.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the most commonly searched types of Data Analytics jobs in Edison, NJ?

The most popular types of Data Analytics jobs in Edison, NJ are:

What are popular job titles related to Data Analytics Director jobs in Edison, NJ?

For Data Analytics Director jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analytics Director jobs in Edison, NJ look for?

The top searched job categories for Data Analytics Director jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Data Analytics Director jobs?

Cities near Edison, NJ with the most Data Analytics Director job openings:

Data Analytics Director jobs near you
Infographic showing various Data Analytics Director job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,690 per year, or $78.7 per hour.

Associate Director, Data Analytics

Canvas Worldwide

New York, NY • On-site

$120K - $130K/yr

Full-time

Re-posted 4 days ago

Job description

Canvas Worldwide dares to be the challenger the ad industry needs. Do you "Challenge the Comfortable?" Then you'll fit right in here at Canvas.
 
Recognized as one of Ad Age's "Best Places to Work" for three consecutive years, Canvas Worldwide is an independent media agency committed to providing creative solutions for brands that challenge the status quo. Our clients include Hyundai, Kia, Genesis, MGM, Zillow and McDonald’s (to name a few…).
 
Our agency cultivates an environment where all are welcome to push outside their comfort zones to solve problems in new ways. We encourage the team to be its best by creating the most positive workplace experience for all. For instance, we outpace the industry on diversity and inclusion AND offer continuous training and workshops for career development. So, if you dare to challenge the comfortable… then keep reading.

The Associate Director, Analytics serves as the day-to-day analytics lead for QSR client, responsible for operationalizing a measurement ecosystem that connects media investments to consumer behavior and business outcomes. This role requires execution of measurement strategies that support planning, optimization, and business growth while ensuring insights are translated into clear, actionable recommendations. As the day to day lead, it presents an opportunity to shape the measurement agenda for an iconic/beloved QSR brand.

The Associate Director will oversee advanced measurement initiatives including marketing mix modeling, incrementality testing, attribution, brand lift, and consumer research. Success in this role requires strong analytical rigor, strategic thinking, client-facing leadership, and the ability to influence internal teams and stakeholders through data driven storytelling.  

Key Duties & Responsibilities Measurement Strategy & Analytics Leadership

•    Partner with the SVP in deploying a full-funnel measurement strategy and test-and-learn agenda, including incrementality testing, experimentation frameworks, and iterative agile MMM approaches 
•    Interpret outputs across multiple measurement methodologies including agile MMMs, incrementality testing, attribution, brand lift, and audience measurement. These outputs are used for ongoing media plan optimizations and strategic recommendations 
•    Develop narratives that translate complex analytical findings into actionable business recommendations 
•    Deliver actionable insights that inform planning, and investment decisions 
•    Work across paid, owned and earned data sources with varying levels of granularity and attribution 
•    Develop quarterly learning agendas focused on key business questions, media effectiveness, and customer behavior.  
•    Identify optimization opportunities by understanding the consumer consideration window, research-to-purchase journey, and the media drivers that influence consumer decision-making. 


Insights, Storytelling & Business Impact 
•    Synthesize findings across multiple data sources into concise, executive-level narratives and recommendations.  
•    Translate complex analytical outputs into actionable business implications for client and agency stakeholders 
•    Develop insights that influence media planning, investment allocation, promotional strategy, and business decisions 
•    Present findings to senior stakeholders in a compelling and consultative manner. 


Leadership 
•    Serve as the primary analytics contact for day-to-day client engagement and measurement planning 
•    Manage relationships with internal and external clients and measurement partners.  
•    Manage timelines, deliverables, assumptions, risks, and stakeholder expectations across multiple measurement initiatives.  
•    Ensure all outputs meet quality standards and are aligned with business objectives.  
•    Participate in strategic planning sessions and client business reviews to provide measurement perspectives and recommendations 
•    Manage and mentor Analysts on the team 

Reporting & Measurement Operations 
•    Oversee development and maintenance of reporting dashboards and campaign analysis 
•    Ensure outputs are actionable and support ongoing media optimization and business decision-making 
•    Maintain measurement roadmaps, documentation, assumptions, and best practices. 

Skills & Qualifications
•    Bachelor's degree in Statistics, Economics, Mathematics, Analytics, Marketing, or related field; Master's degree preferred 
•    5-7 years of experience in marketing analytics, advanced measurement, media effectiveness, or consumer insights. 
•    Understanding of MMM, attribution, incrementality testing, experimentation, brand lift, and causal measurement methodologies.  
•    Experience with SQL, Tableau, Power BI, or similar analytics and visualization tools.  
•    Familiarity with leading measurement providers including Nielsen, Circana, DISQO, Kantar, VideoAmp, iSpot, Samba TV, or similar platforms 
•    Strong presentation, storytelling, and executive communication skills are a must. This is high-visibility client facing role. 
•    Proven experience managing and developing junior analytics talent. 
•    Ability to translate complex analytical findings into clear business recommendations Success in This Role 
•    Supports execution of the client measurement roadmap and partners with the SVP to evolve long-term measurement priorities 
•    Helps influence media and business decisions through outcome-focused insights. 
•    Builds trust with client stakeholders and agency leadership. 
•    Identifies opportunities to improve business outcomes by understanding the consumer journey and associated purchase behaviors that drive revenue 
Salary and Benefits
Actual base salary is determined upon factors such as experience, qualifications, training, certifications, and internal equity. The Company reserves the right to modify this pay range at any time. Base salary is part of a total rewards package that includes highly competitive benefits like generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a “Do Good Day,” and unlimited PTO.
 
Additional perks include employee social and wellness events, a DEI Council, auto purchase rebate program and monthly wellness allowance.
 
In-Office Work Schedule
This is a hybrid role, requiring a minimum of 3 days in-office per week.
 
Canvas Worldwide is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
 
CA Applicants: Canvas Worldwide practices Fair Chance Hiring

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.