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Sales Analytics Manager Jobs in Edison, NJ (NOW HIRING)

Data Analytics Manager

New York, NY · On-site

$105K - $135K/yr

Madhive empowers sales teams to extend their reach into streaming and connects local advertisers ... We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our ...

New

Serve as the sales managers' most collaborative and strategic thought partners - they walk away ... Bachelor's degree and 4-6 years in an analytical and strategic data-driven role. Experience in CPG ...

Within our Analytics organization, we have well-established SME verticals (e.g., forecasting, sales ... They are seller-doers who are accountable leaders to managing both sales, project delivery ...

... Sales, and Marketing are aligned on a single source of truth. * Ensure data quality and integrity ... Analytics, Business Operations, or Management Consulting with 2-3 years of people management ...

Account management- key customer focus areas / concerns to ensure sales analytics team has appropriate customer context * Central data- supports data and dashboard requests to enable prioritized ...

Showing results 21-40

Sales Analytics Manager information

See Edison, NJ salary details

$84K

$108K

$180.5K

How much do sales analytics manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for sales analytics manager in Edison, NJ is $107,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $99,500.00 per year, depending on experience, location, and employer.

What is the difference between Sales Analytics Manager vs Sales Operations Analyst?

AspectSales Analytics ManagerSales Operations Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; often prefers experience with data analysis toolsBachelor's degree in Business, Analytics, or related field; familiarity with CRM and data tools
Work EnvironmentLeads data analysis teams, collaborates with sales leadership, focuses on strategic insightsSupports sales teams with process improvements, data management, and reporting
Employer & Industry UsageCommon in sales-driven organizations, tech, and retail sectorsWidely used across industries to optimize sales processes and efficiency

The Sales Analytics Manager focuses on analyzing sales data to inform strategic decisions, while the Sales Operations Analyst supports daily sales activities and process improvements. Both roles require analytical skills and familiarity with data tools, but their primary responsibilities differ in scope and focus.

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

To thrive as a Sales Analytics Manager, you need strong analytical skills, business acumen, and a background in statistics, mathematics, or a related field, often supported by a bachelor’s or master’s degree. Expertise with data visualization tools like Tableau, CRM systems such as Salesforce, and advanced Excel or SQL skills are typically required. Outstanding communication, problem-solving abilities, and leadership skills help drive cross-functional collaboration and translate data insights into actionable business strategies. These skills are crucial for optimizing sales performance, guiding decision-making, and delivering measurable business growth.

What does a sales analytics manager do?

A Sales Analytics Manager is responsible for analyzing sales data to uncover trends, forecast future sales, and provide actionable insights to drive business growth. They collaborate closely with sales teams and leadership to develop strategies based on data-driven findings. Their role often includes creating reports, managing analytics tools, and ensuring that sales goals are tracked and achieved using quantitative evidence.

What are some common challenges faced by sales analytics managers, and how can they be addressed?

Sales Analytics Managers often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and translating analytical findings into actionable sales strategies. Addressing these issues usually involves collaborating closely with IT and sales teams to streamline data pipelines, implementing robust data validation processes, and developing clear communication channels to share insights with non-technical stakeholders. Staying proactive in adopting new analytical tools and fostering cross-functional partnerships can greatly enhance effectiveness in this role.

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

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

What job categories do people searching Sales Analytics Manager jobs in Edison, NJ look for?

The top searched job categories for Sales Analytics Manager jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Sales Analytics Manager jobs?

Cities near Edison, NJ with the most Sales Analytics Manager job openings:

Infographic showing various Sales Analytics Manager job openings in Edison, NJ as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,991 per year, or $51.9 per hour.

Data Analytics Manager

MadHive

New York, NY • On-site

$105K - $135K/yr

Full-time

Posted 2 days ago

New


Job description

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive's platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media.
We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance-you will build the technical infrastructure that powers our entire partnership strategy. You will bridge the gap between what our partnership and commercial teams need and what our technology can do, translating complex ecosystem processes into automated, scalable, and AI-assisted workflows.
If you love writing SQL and Python, building operational AI agents, and seeing your technical assets directly drive external partner growth and internal revenue velocity, this role is for you.
The Mission: Eliminate manual friction for our channel and strategic partnership teams. You will turn data into a competitive advantage by embedding proactive partner insights and AI-powered automation directly into our daily operations.
This is a hybrid role based in either our New York City or Redwood City office. The successful candidate will be expected to work onsite at least three days per week.
What You'll Do:
  • System Integration & Automation: Translate GTM and partnership processes into working technical systems. Collaborate with Revenue Operations, Sales, and Marketing Ops to scope, prioritize, and deliver automation that reduces manual work and improves data quality.
  • Insight Pipelines & Analytics: Design proactive insight pipelines by translating recurring business and partner needs into clear analytical logic, metric definitions, signal criteria, and output requirements.
  • Workflow Embedding: Partner with analytics, product and revenue teams to embed analytics into workflows, dashboards that help tell the greater story.
  • Data-Driven Outputs: Develop outputs that help internal and partner-facing teams prioritize effort, identify risk and t opportunity, and act with greater precision.
  • AI Tooling: Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration, documentation, anomaly detection, query development, and workflow design.
  • Strategic Problem Solving: Translate ambiguous commercial and partnership problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables.

Who you are:
  • The AI Edge: Hands-on experience building with LLMs and AI agent frameworks-you have shipped real AI-powered tools, not just experimented with them.
  • Technical Toolkit: Strong proficiency in SQL and Python for building repeatable analytics; understanding of Salesforce (+ data model, APIs, reporting, and permissions) is valuable.
  • GTM & Partnership Fluency: Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous, high-growth, data-intensive environments.
  • Industry Context: Familiarity with advertising technology, digital media, measurement, or platform-based commercial models is highly preferred. Experience in CTV, Digital Audio and DOOH is a bonus.
  • Product Mindset: Experience building repeatable analytics, signals, or insight workflows rather than relying solely on ad-hoc analysis.
  • Cross-Functional Collaboration: Proven experience partnering effectively with technical teams and a broad set of internal stakeholders, including client- and partner-facing teams.
  • Communication: Strong written and verbal communication-you can explain technical decisions to non-technical stakeholders and document your work clearly.
  • Adaptability: Comfort working in a fast-moving environment where the roadmap evolves and ownership is broad.

The approximate compensation range for this position is $105,000-$135,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.
We are Madhive
Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace our differences and believe they fuel our creativity. We come from varied backgrounds and think that's important. Whether it's taking ideas from previous lives and applying them in different ways or creating something completely new, we are all trail-blazing team players who think big and want to make an impact.
We are committed to cultivating a culture of inclusion and collaboration. We welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.
Please be advised that we will NOT be using third-party recruiting agencies for this search.