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Analytics Assistant Jobs in Secaucus, NJ (NOW HIRING)

Barclays

Analytics AVP US

New York, NY · On-site

... by analysis and solving complex problems. Accountabilities * Acquisition and collection of data ... Assistant Vice President Expectations * To advise and influence decision making, contribute to ...

Barclays

Analytics AVP US

New York, NY

$110K - $155K/yr

In your new role as Analytics Assistant Vice President - US Quantexa, you will play a pivotal role in conducting detailed model analysis, tuning, optimization, and analytics across Transaction ...

Collins Building Services

Be Seen First

Facilities Operations - Administrative Assistant

Mineola, NY · On-site

Collect, analyze, and interpret data with the ability to translate into business strategies to ... * Assist with the coordination of replacement labor with supervisors and HR staffing team.

New

Publicis Groupe Holdings B.V

Senior Analyst

Manhattan, NY · On-site

$60K - $93K/yr

Forecast around audits and campaign analytics * Assist the Manager and greater team with overall strategy and recommendations * Serve as a mentor to Analysts and available for ad hoc questions and ...

Publicis Groupe Holdings B.V

Senior Analyst

Manhattan, NY · On-site

$60K - $93K/yr

Forecast around audits and campaign analytics * Assist the Manager and greater team with overall strategy and recommendations * Serve as a mentor to Analysts and available for ad hoc questions and ...

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Analytics Assistant information

What are Analytics Assistants?

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 are the typical daily responsibilities of an Analytics Assistant and how do they contribute to team projects?

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 does an assistant analyst do?

An assistant analyst supports data analysis tasks by collecting, organizing, and preparing data for review. They often use tools like Excel or statistical software, assist in generating reports, and help interpret data insights under the supervision of senior analysts.

What jobs make $1,000,000 a year?

In the field of analytics, high-paying roles such as Chief Data Officer, Data Science Director, or senior executive positions in large corporations can reach or exceed $1,000,000 annually, especially with bonuses and stock options. These roles typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most roles at this level are found in large organizations or consulting firms with significant revenue and data assets.

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.

Can I be a data analyst with no experience?

Yes, entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a strong understanding of basic statistical concepts. Gaining certifications or completing online courses can also improve your chances of starting in this role.

What are the key skills and qualifications needed to thrive as an Analytics Assistant, and why are they important?

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.

Is 40 too late for data science?

For an Analytics Assistant or similar data-related roles, starting a career in data science at age 40 is possible. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications. Age is less important than skills, experience, and continuous learning in the field.
What are the most commonly searched types of Analytics jobs in Secaucus, NJ? The most popular types of Analytics jobs in Secaucus, NJ are:
What are popular job titles related to Analytics Assistant jobs in Secaucus, NJ? For Analytics Assistant jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Analytics Assistant jobs in Secaucus, NJ look for? The top searched job categories for Analytics Assistant jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Analytics Assistant jobs? Cities near Secaucus, NJ with the most Analytics Assistant job openings:
Analytics Assistant jobs near you
Infographic showing various Analytics Assistant job openings in Secaucus, NJ as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Analytics AVP US

Barclays

New York, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Job Description
Purpose of the role
To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.
Accountabilities
  • Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
  • Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
  • Design and implementation of data management strategies for model maintenance and future development.
  • Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
  • Monitoring model performance in real-time and identify any potential issues or biases.
  • Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
  • Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Assistant Vice President Expectations
  • 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
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required 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 organisation 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 practises (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.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Transform Financial Crime Detection with Data - Apply your analytics experience to strengthen resilience and safeguard Barclays. In your new role as Analytics Assistant Vice President - US Quantexa, you will play a pivotal role in conducting detailed model analysis, tuning, optimization, and analytics across Transaction Monitoring systems deployed in the US and globally. You'll collaborate with stakeholders including Control Owners, Risk, Compliance, Technology, Operations, and Model Validation teams, communicating clearly on model risk, performance, and lifecycle data. In your role, you will ensure TM solutions are rigorously built and embedded into routine processes, enabling early identification of money laundering and financial crime risks through advanced analytics. Alongside business-as-usual responsibilities, you'll also contribute to transformation projects, helping design and deliver strategic detection solutions that strengthen Barclays' financial crime prevention framework.
To be successful in your role as Analytics Assistant Vice President - US Quantexa you should have:
  • Advance coding skills like Python, PySpark, Scala or SQL
  • Analytics background with good understanding of databases, modelling, mathematics, and machine learning
  • Solving multi-faceted financial crime problems with logical analytics and ability to present them clearly with visualization MI tools, charts, processes, and business friendly language

Other highly values skills include:
  • Financial crime experience especially in the area of Transaction Monitoring (TM)
  • Tuning and optimization, as well as model risk validation with understanding on various processes and responses to responses to complexities raised within TM models.
  • Entity resolution and network analysis

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.
This role is located in New York, NY
Minimum Salary: $110,000.00
Maximum Salary: $155,000.00
The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

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