ZipRecruiter

Log In

2

Entry Level Deloitte Data Analytics Jobs in Rutherford, NJ

Deloitte

R&D Data Products Manager

Jersey City, NJ · On-site

Work you'll do/Responsibilities As a Manager at Deloitte, you will work within an engagement team ... Analytical ability to manage multiple projects and prioritize tasks into manageable work products

Deloitte

R&D Data Products Manager

Jersey City, NJ · On-site

Work you'll do/Responsibilities As a Manager at Deloitte, you will work within an engagement team ... Analytical ability to manage multiple projects and prioritize tasks into manageable work products

Deloitte

Senior DevOps Engineer

Jersey City, NJ · On-site

$103K - $173K/yr

... analyze, and provide strategic insights regarding data to drive growth and performance ... Deloitte is committed to providing reasonable accommodations for people with disabilities. If you ...

next page

Showing results 1-20

All JobsEntry Level Deloitte Data Analytics JobsEntry Level Deloitte Data Analytics Jobs in Rutherford, NJ

Entry Level Deloitte Data Analytics information

See Rutherford, NJ salary details

$24

$55

$96

How much do entry level deloitte data analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for entry level deloitte data analytics in Rutherford, NJ is $55.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 per hour, depending on experience, location, and employer.

What are Entry Level Deloitte Data Analytics jobs?

Entry Level Deloitte Data Analytics jobs are positions designed for recent graduates or individuals with limited professional experience who are interested in starting a career in data analytics at Deloitte. These roles typically involve collecting, processing, and analyzing data to help clients make informed business decisions. Employees in these positions work with experienced teams, utilize various analytics tools, and receive on-the-job training to develop technical and consulting skills. They may also assist in creating reports, dashboards, and presentations to communicate findings. This is a great starting point for those looking to grow in the field of data analytics and consulting.

What are the key skills and qualifications needed to thrive as an Entry Level Deloitte Data Analytics professional, and why are they important?

To thrive as an Entry Level Deloitte Data Analytics professional, you need a strong foundation in quantitative analysis, statistics, and a relevant degree such as business, computer science, or mathematics. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as SQL, Python, or R), and Excel is typically required, and certifications in analytics or cloud platforms are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and present insights to stakeholders. These skills are crucial for delivering actionable, high-quality analyses that support client decision-making and drive business value.

What is the difference between Entry Level Deloitte Data Analytics vs Entry Level Data Analyst?

AspectEntry Level Deloitte Data AnalyticsEntry Level Data Analyst
Required CredentialsBachelor's degree in related field; some certifications like Microsoft Excel, TableauBachelor's degree in data-related field; certifications like Excel, SQL, Tableau are common
Work EnvironmentConsulting firm environment, client-facing projects, team collaborationCorporate or organizational setting, data processing, reporting, analysis tasks
Employer & Industry UsageUsed by Deloitte and similar consulting firms across industriesUsed across various industries including finance, healthcare, tech

Both roles involve data analysis skills, but Entry Level Deloitte Data Analytics typically emphasizes consulting projects, client interaction, and working within a consulting firm environment. Entry Level Data Analyst roles are more focused on internal organizational data processing and reporting. The choice depends on whether you prefer consulting or in-house data work.

What types of projects do entry-level data analytics professionals at Deloitte typically work on, and how much client interaction is involved?

As an entry-level data analytics professional at Deloitte, you can expect to work on a variety of projects, including data visualization, dashboard development, data cleaning, and assisting with the analysis of large data sets to provide insights for client decision-making. Typically, you will collaborate closely with more experienced team members, such as data scientists and consultants, and may have some exposure to client-facing meetings, especially as you gain confidence and expertise. Your role will often involve both independent tasks and teamwork, providing a balance of technical skill development and professional communication experience.
What cities near Rutherford, NJ are hiring for Entry Level Deloitte Data Analytics jobs? Cities near Rutherford, NJ with the most Entry Level Deloitte Data Analytics job openings:
Entry Level Deloitte Data Analytics jobs near you
Consultant, Data Analytics & AI (51467)

Consultant, Data Analytics & AI (51467)

Citrin Cooperman

Manhattan, NY • On-site

Full-time

Posted yesterday

Job description

The Consultant, Data Analytics & AI supports the design and delivery of analytics and AI solutions that help clients make better use of their data. This is an entry-level consulting role suited for candidates with a strong academic foundation and early hands-on exposure to data tools. You will work alongside senior practitioners to contribute to client engagements, build your technical depth, and develop an understanding of how analytics creates business value.

Data Analytics & Solution Development

  • Assist in the design and development of data analytics solutions aligned with client business needs.
  • Support the build-out of ETL/ELT pipelines and data models using Microsoft Fabric and related tools.
  • Write and optimize SQL queries for data transformation, validation, and reporting.
  • Contribute to Power BI report and dashboard development, including data modeling and DAX.
  • Help ensure data accuracy and consistency across client environments.

Microsoft Fabric & Cloud Platforms

  • Develop familiarity with Microsoft Fabric and Power BI as core delivery platforms.
  • Support the configuration and testing of cloud data workflows under senior guidance.
  • Stay current on Microsoft Fabric innovations, AI Copilot features, and emerging data capabilities.

Client Engagement & Communication

  • Participate in client meetings and help track open items and action lists.
  • Assist in translating technical findings into clear documentation and presentation materials.
  • Build relationships with client contacts under the direction of project leads.

Project Delivery & Execution

  • Contribute to project workstreams with a focus on quality, timeliness, and attention to detail.
  • Assist with documentation, training materials, and knowledge transfer artifacts.
  • Proactively flag risks or blockers to project leads.
  • Collaborate with cross-functional teams in a professional services environment.

  • Bachelor's degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.

  • 0 to 2 years of experience in data analytics, business intelligence, or a related technical role; internship or academic project experience is considered.

  • Working knowledge of SQL for data querying and manipulation.

  • Exposure to Python for data analysis is a plus.

  • Familiarity with Power BI, Tableau, or similar data visualization tools.

  • Basic understanding of cloud platforms, particularly Microsoft Azure or Microsoft Fabric, is preferred.

  • Strong analytical thinking and problem-solving skills.

  • Clear written and verbal communication with the ability to present ideas concisely.

  • Eagerness to learn in a fast-paced consulting environment with multiple concurrent workstreams.

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, Computer Science, or a related field is a plus.

  • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or DP-900 (Azure Data Fundamentals) are a plus, not a requirement.

  • Exposure to data governance concepts, ETL workflows, or AI-powered analytics through coursework or self-study.

  • Prior internship, co-op, or project experience in a consulting, analytics, or technology environment is a differentiator.

Apply