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Analytics Assistant Jobs in Wayne, NJ (NOW HIRING)

Capitex

AML Analytics Consultant

New York, NY · On-site +1

Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior. * Assist in the development of dashboards, reporting tools, and data visualizations to present key ...

Capitex

AML Analytics Consultant

New York, NY · Hybrid

Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior. * Assist in the development of dashboards, reporting tools, and data visualizations to present key ...

CAPITEX

AML Analytics Consultant

New York, NY · Remote

Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior. * Assist in the development of dashboards, reporting tools, and data visualizations to present key ...

ACME CO.

Financial Analyst

New York, NY

Financial Planning and Analysis: Assist in the development of financial forecasts, budgets, and long-range plans, ensuring accuracy and alignment with company goals. * Variance Analysis: Analyze ...

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Analytics Assistant information

What is an analytics assistant?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What does an analytics assistant do?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What are the key skills and qualifications needed to thrive as an analytics assistant?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

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

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

What cities near Wayne, NJ are hiring for Analytics Assistant jobs?

Cities near Wayne, NJ with the most Analytics Assistant job openings:

Analytics Assistant jobs near you

AML Analytics Consultant

Capitex

New York, NY • On-site, Remote

Contractor

Re-posted 15 days ago

Job description

Job Title: AML Analytics Consultant (Contractor)
Location: Hybrid / Remote (Global Client Base)
Engagement Type: Contract / Consultancy
Duration: 6-12 months (with potential extension)
Rate: Competitive (based on experience)
About the Role
We are seeking an experienced AML Analytics Consultant with strong SQL and data analytics capabilities to join a global consulting firm. In this role, you will work alongside high-profile financial institutions, supporting them in the design, development, and optimization of Anti-Money Laundering (AML) analytics and data-driven solutions.
This is an exciting opportunity for a contractor or independent consultant with hands-on experience in AML analytics, a solid grasp of financial crime compliance, and a deep understanding of data manipulation and reporting.
Key Responsibilities
  • Partner with client teams to assess existing AML systems, analytics tools, and monitoring models.
  • Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.
  • Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior.
  • Assist in the development of dashboards, reporting tools, and data visualizations to present key AML insights.
  • Translate regulatory and risk requirements into technical data solutions.
  • Provide advisory support on AML system tuning, calibration, and effectiveness reviews.
  • Collaborate with cross-functional teams including compliance, risk, IT, and business units.
  • Deliver clear documentation and findings to both technical and non-technical stakeholders.

Key Requirements
  • Proven experience in AML/Financial Crime analytics, ideally within consulting or large financial institutions.
  • Strong SQL skills and experience handling large datasets across multiple systems.
  • Proficiency in tools such as Python, R, SAS, or similar (desirable but not required).
  • Experience with transaction monitoring systems (Actimize, FICO, SAS AML, etc.) is a plus.
  • Deep understanding of AML regulations, typologies, and industry standards.
  • Strong analytical thinking with the ability to solve complex problems using data.
  • Excellent communication and stakeholder management skills.
  • Self-starter with the ability to work independently in a fast-paced, client-facing environment.

Preferred Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Economics, Finance, or a related field.
  • Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous.

What We Offer
  • Opportunity to work with globally recognized financial institutions.
  • A dynamic and collaborative consulting environment.
  • Flexible working arrangements.
  • Exposure to innovative AML technologies and strategic projects.

Apply