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Sales Analyst Intern Jobs in Ridgewood, NJ (NOW HIRING)

The Need 2 Know

Sales Intern

New York, NY

$16.50 - $22.25/hr

We are seeking a sales intern with strong research and communication skills to help out our sales ... Analytics * Update weekly statistics of newsletter in Google spreadsheet. * Examine trends and ...

The Need 2 Know

Sales Intern

New York, NY · On-site

$16.50 - $22.25/hr

We are seeking a sales intern with strong research and communication skills to help out our sales ... Analytics * Update weekly statistics of newsletter in Google spreadsheet. * Examine trends and ...

Freixenet Mionetto USA

Intern

Nyack, NY · On-site

$15.50 - $20.75/hr

  • PTO

Track and analyze event performance metrics, gathering insights to optimize future executions ... Work closely with sales teams to align activations with retail priorities and key distribution ...

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All JobsSales Analyst Intern JobsSales Analyst Intern Jobs in Ridgewood, NJ

Sales Analyst Intern information

See Ridgewood, NJ salary details

$10

$19

$34

How much do sales analyst intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for sales analyst intern in Ridgewood, NJ is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $19.71 per hour, depending on experience, location, and employer.

Do sales analyst interns get paid?

Sales analyst interns are often paid positions, with compensation varying by company and location. Internships may also include stipends, hourly wages, or academic credit, and some organizations offer full or part-time paid roles to attract qualified candidates.

What does a sales analyst intern do?

A Sales Analyst Intern supports the sales team by collecting, analyzing, and interpreting sales data to help identify trends, forecast sales, and inform strategic decisions. They often use tools like Excel or CRM software to track sales performance, prepare reports, and provide insights that can improve sales processes. The intern may also assist with market research, competitor analysis, and the preparation of presentations for internal or client meetings. Their work helps the company better understand sales patterns and optimize strategies for growth.

What are the key skills and qualifications needed to thrive as a sales analyst intern?

To thrive as a Sales Analyst Intern, you typically need strong analytical abilities, proficiency in data interpretation, and a background in business, finance, or a related field. Familiarity with Excel, CRM systems, and data visualization tools like Tableau or Power BI is often required. Attention to detail, communication skills, and adaptability help interns collaborate effectively and present findings clearly. These skills are crucial for providing actionable insights that support sales strategies and drive business growth.
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Sales Analyst Intern jobs near you
Infographic showing various Sales Analyst Intern job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $39,655 per year, or $19.1 per hour.

Quantitative Analyst Intern

Rho Technologies

New York, NY • On-site

$20 - $35/hr

Internship

Posted 6 days ago

Job description

About Us
Rho is the modern banking platform built for startups. Open accounts in minutes, issue cards, manage expenses, pay bills, and close the books - all in one connected platform backed by real human support.
About the role
You'll work on high-impact data projects that help Rho detect, prevent, and better understand customer behavior, from identifying early churn signals to mapping growth opportunities. Your work will directly support Rho's growth engineering function, the systems that power expansion, retention, and churn mitigation. The work spans designing experiments, building predictive models, extracting insights from unstructured data, and working with large, complex datasets. You'll collaborate across teams to drive workflow efficiency, improve customer retention, and influence product direction, taking full ownership of your analyses and communicating your findings clearly to technical and non-technical audiences.
Potential Projects
  • New churn leading indicators. The current set catches a lot, but not everything. Hunt for earlier, cleaner predictors of account churn and treasury drawdown. Backtest candidates against known outcomes and graduate what holds.
  • New expansion and deposit-growth signals. The upside side of the book is less built out than the churn side. What predicts an account is about to move more money onto Rho, hire, raise, or grow its treasury? Generate and test candidates.
  • Unstructured data as a new signal source. Today's entire signal universe lives in the warehouse; call transcripts are untouched. Build LLM extraction experiments to pull signals that will never appear in transaction data: a competitor mentioned on a call, product-limit frustration, expansion intent voiced directly. A different modality, genuinely additive.
  • Probabilistic modeling. Move signal scoring from hand-tuned rules toward measured weights. Model how signals interact, quantify which combinations actually matter, and cluster accounts into behavioral archetypes.
  • Graph and network signals. Map shared-investor and vendor co-occurrence structure for fundraise-contagion detection and referral clusters. Untouched today.
  • Customer health modeling. Improve how we model account health over time: how accounts move between health states, what predicts those transitions, and where intervention changes the trajectory.
  • Playbook effectiveness. Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.
  • GTM workflow efficiency. Find and remove friction in how signals reach the field.
  • Product adoption. Analyze adoption patterns, identify behaviors that predict or drive adoption, and use them to make customers stickier.

You have:
  • Challenging coursework in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field
  • Project experience in statistics, ML, econometrics, or a related quantitative field
  • Proficient in Python, Comfortable with SQL
  • Willing to run a high volume of experiments and work with messy, incomplete data
  • Communicates quantitative work clearly to technical and non-technical stakeholders

Strong fit if:
  • Comfortable with ambiguity. Problems arrive underspecified.
  • Take ownership. You run your experiments end to end and do not need handholding. If something is broken or unclear, you chase it down rather than wait.
  • Question everything. You do not take a number, a signal, or an assumption at face value, including your own. You pressure-test before you trust.
  • Very fast learner. You pick up new tools, new data, and new methods quickly and independently, and you are not thrown by unfamiliar territory.
  • High attention to detail.
  • Deeply analytical. You reason from the data, quantify your claims, and can explain why something works or does not.
  • High throughput. You would rather run five experiments this week than one perfect one next month.

Hourly: $20-$35 | Start: ASAP

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