1

Data Analyst Analyst Jobs in Ridgewood, NJ (NOW HIRING)

We are seeking a detail-oriented Data Analyst with strong analytical, technical, and visualization skills. The ideal candidate will use data-driven insights to support decision-making, optimize ...

Data Analyst

New York, NY · On-site

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You ...

We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to ...

Building proactive analysis through data mining to identify trends and opportunities for product optimization. * Finding areas of opportunity to drive revenue in a digital advertising campaign.

Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

Reporting to the Director of Reporting Systems within the Analytics and Reporting Department, the position of Data Analyst performs in-depth analysis of healthcare data, supporting regulatory ...

Data Analyst

Queens, NY · On-site

$65K - $75K/yr

Reporting to the Senior Manager of Organizational Assessment, the Data Analyst is responsible for data collection, formatting, reporting, analysis, and visualization of data pertaining to Queens ...

Data Analyst

Manhattan, NY · On-site

$89K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary of Vital Statistics on a timely basis, as well as producing data tables for the Provisional Birth ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

YUPRO Placement Data Analyst This is a contract opportunity. This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with ...

Data Analyst

Brooklyn, NY · Hybrid

$100K - $120K/yr

Our client, a technology company in the music and entertainment space, is seeking a Data Analyst to join their growing team. This role will involve collecting and analyzing large datasets to gather ...

Data Analyst

New York, NY · On-site +1

$97K/yr

Our Data Analysts work with diverse data - criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more - to develop our ...

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

next page

Showing results 1-20

Data Analyst Analyst information

See Ridgewood, NJ salary details

$34.4K

$83.6K

$137.6K

How much do data analyst analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst analyst in Ridgewood, NJ is $83,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make informed decisions. They use tools such as Excel, SQL, and data visualization software to interpret data trends and present actionable insights to stakeholders. Data Analysts often work closely with other departments to identify business needs and support strategic planning. Their work is crucial in guiding business strategies, improving processes, and solving complex problems.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or a related field, often supported by a bachelor’s degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

How do Data Analysts typically collaborate with other departments within an organization?

Data Analysts frequently work alongside teams from marketing, finance, product, and operations to understand their data needs and deliver actionable insights. They attend cross-functional meetings, clarify requirements, and translate business questions into analytical tasks. Strong communication skills are essential, as Data Analysts must explain technical findings in an accessible way to non-technical stakeholders. This collaborative environment not only broadens their understanding of the business but also helps them identify opportunities for greater impact and career advancement.
What cities near Ridgewood, NJ are hiring for Data Analyst Analyst jobs? Cities near Ridgewood, NJ with the most Data Analyst Analyst job openings:

Full-time

Posted 3 days ago


Job description

Job Title : Data Analyst
Location: Whippany, NJ(Onsite)
Note : Face to Face Interview
Job Description:
This role will enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualizations and reports.
Accountabilities
• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Purpose of the Role
• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• Consult on complex issues, providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.,) to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.
Required Experience & Capabilities
• Expert-level SQL - analytical queries, query optimization, complex transformations, performance tuning
• Intellectual curiosity that helps to gain a broad understanding of business data requirements
• Translate data into actionable insights for CX and Marketing
• Cross calibration across teams
• Strong understanding of business data requirements and KPIs
• Ability to translate business logic into curated datasets and metrics
• Data analysis mindset: identify anomalies, trends, and data issues
• Stakeholder collaboration with analytics, BI, and product teams
• Documentation of business rules, data definitions, and assumptions
• Understanding of data lifecycle, data ownership, and stewardship
• Working knowledge of Adobe suite of reporting tools.
• Advanced analytical and problem-solving skills, with experience using data to inform product decisions.
Preferred / Desirable Qualifications
• Experience with workflow platforms, business rules engines, and complex orchestration across systems
• Working knowledge of Business Intelligence (BI) tools i.e., Tableau, etc.
• Demonstrated capability in risk management, change and transformation, business acumen, strategic thinking, and digital technology