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Data Analytics Project Manager Jobs in Secaucus, NJ

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

Responsibilities : • Own and evolve our core data models, ensuring the analytics layer accurately ... projects from scoping through to delivery, with ownership over outcomes not just outputs. • ...

City of New York

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

Work to consolidate and streamline data sources and reports. -Manage projects and aid Property ... Research and provide additional data and analysis. -Assist other business units with special ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access ... Proven track record of taking analytical projects from scoping through to delivery, with ownership ...

Current

Senior Data Analyst, Data Analytics

New York, NY

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access ... Proven track record of taking analytical projects from scoping through to delivery, with ownership ...

Unchain Data

Data Analytics AI Engineer

Manhattan, NY · On-site

$156 - $204/hr

Manage and influence senior business stakeholders (including CRO-level), owning projects end-to-end ... Strong analytical background: experience defining KPIs and communicating data-driven ...

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How much do data analytics project manager jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics project manager in Secaucus, NJ is $58.47, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $68.41 per hour, depending on experience, location, and employer.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

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

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

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Data Analytics Project Manager jobs near you
Infographic showing various Data Analytics Project Manager job openings in Secaucus, NJ as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $121,613 per year, or $58.5 per hour.

Senior Data Analyst, Data Analytics

Current

Manhattan, NY • On-site

$94K - $119K/yr

Full-time

Re-posted 2 hours ago

Job description

Job Summary:
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. 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, ensuring the analytics layer accurately reflects business logic across the company’s unit economics model.
• Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives.
• Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy before they reach consumers.
• Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends - translating complex data into decisions.
• Take ownership of reconciliation workflows, cross-checking mart outputs against source systems and flagging discrepancies.
• Support the broader team with ad hoc analytics requests, with each task building domain context across Current’s metrics and business logic.
• Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations.
Qualifications:
Required:
• 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy.
• At least 2–3 years in a consumer-facing fintech, digital banking, payments, or lending environment, working closely with transactional data, product metrics, and customer behavior at scale.
• Proven track record of taking analytical projects from scoping through to delivery, with ownership over outcomes not just outputs.
• Strong written and verbal communication; comfortable presenting findings and recommendations to non-technical stakeholders and leadership.
• Technical proficiency across the modern data stack.
• Advanced SQL in a cloud data warehouse environment (Snowflake, BigQuery, or Redshift) - window functions, CTEs, and complex joins.
• Hands-on experience with dbt or a comparable transformation tool.
• Working knowledge of Looker or a comparable BI/semantic layer.
• Python for scripting and automation.
• Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks.
Preferred:
• Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange - or experience working with transaction-level data at scale.
• Experience working in environments where data accuracy and auditability matter - validating outputs and tracing metric definitions across systems.
• Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable.
• Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally.
Company:
Current is a consumer fintech banking platform transforming financial access for everyday Americans. Founded in 2015, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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