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Data Implementation Analyst Jobs in New Jersey (NOW HIRING)

... data, identify anomalies and provide analysis, recommendations, and remediation steps. The role ... Strong problem-solving skills and ability to provide and implement solutions. * Self-motivated and ...

Work on a team of developers, analysts, and consultants focused on data acquisition and migration ... implementation, and/or data migrations. * Experience with Database Management Systems (MSSQL ...

The team is primarily responsible for new customer implementations, data services and ongoing customer support. Data Service Analysts are responsible for data collection, matching, remediation, and ...

New

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

Work on a team of developers, analysts, and consultants focused on data acquisition and migration ... implementation, and/or data migrations. * Experience with Database Management Systems (MSSQL ...

Should be independently able to conduct data analysis on results produced by financial models ... The person will be responsible for testing and implementing the new/updated regulatory requirements.

Data Analyst II

Newark, NJ · Hybrid

$80K - $95K/yr

Participate in finding and implementing technology solutions and business processes by providing ... Data analysts work with large amounts of data: facts, figures, and number crunching. You will need ...

New

Senior Data Analyst

Moorestown, NJ · On-site

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Implementing emerging AI/ML solutions from commercial and academic domains to support military and ...

Senior Data Analyst

Moorestown, NJ · On-site

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Implementing emerging AI/ML solutions from commercial and academic domains to support military and ...

Collect, clean, and analyze large datasets from various sources to identify patterns, trends, and ... Develop and implement data models, algorithms, and statistical techniques to extract insights and ...

Showing results 21-40

Data Implementation Analyst information

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a data implementation analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Implementation Analyst jobs in New Jersey?

For Data Implementation Analyst jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Implementation Analyst jobs in New Jersey look for?

The top searched job categories for Data Implementation Analyst jobs in New Jersey are:

What cities in New Jersey are hiring for Data Implementation Analyst jobs?

Cities in New Jersey with the most Data Implementation Analyst job openings:

Data Modeler/Data Analyst

Procom Services

Mount Laurel, NJ

Contractor

Re-posted 28 days ago


Job description

Company Description

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.
With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest "Canadian-Owned" IT staffing/consulting company.
Procom's areas of staffing expertise include:

Application Development
Project Management
Quality Assurance
Business/Systems Analysis
Datawarehouse & Business Intelligence
Infrastructure & Network Services
Risk Management & Compliance
Business Continuity & Disaster Recovery
Security & Privacy
Specialties

Contract Staffing (Staff Augmentation)
Permanent Placement (Staff Augmentation)
ICAP (Contractor Payroll)
Flextrack (Vendor Management System)

Job Description
Hi,
Hoping all is well. We have a job opportunity for you: TDbank, IT - Data Modeler/Data Analyst /W2 basis + Benefit coverage. And TDBank provides great experience and has great people to work along side.
Hoping you would consider and I'm looking forward to hearing from you. Please check the job description below. And kindly send this info to your friends who would be interested.
 
Thanks much!
=============================================
Job #196345 | US - IT - Data Modeler/Data Analyst| Toronto Dominion Bank
 
6 Month Contract(possible extension up to 2 yrs)
Location: Mount Laurel - will consider 2-3 days a week remote however must be able to come into the office, interviews will be in person so no relocation considered
Manager is seeking a Data Modeler/Data Analytic to join DCTS team.
The Senior Data Analyst will be responsible for extracting, staging, storing, migrating, hashing, and analyzing TD Bank (USA) data across multiple channels and product sets. The successful candidate will develops logical data models, conduct data mining, and integrate/match data across different data sets for analytical purposes, and segmentation methodologies to address a wide array of business issues, objectives and strategies.
Responsibilities:
Develop database models and supporting documentation in order to meet business requirements. Define data requirements and business rules, perform logical and physical data modeling, implement and test database design. Coordinate data models. Dictionaries and other documentation across multiple applications
Job Responsibilities:
SME (Subject Matter Expert) to establish, communicate and execute measurement and analytical strategies for TD Bank (USA). Design model/methodology to integrate raw data across different data sources
Analyze trends & data in both internal and vendor-supplied data to interpret customer relationships and make appropriate recommendations to key stakeholders within the organization.
Support Channels initiatives for TD Bank (USA) with data extraction, migration, storage, integration, and analysis, business cases and providing monthly trended forecast and plan information.
Working with key stakeholders and other members of the Digital Customer Insights team define and manage online customer insights through definition of KPIs, web metrics capabilities and reporting.
Provide value-added data analysis and anticipate the requirements of the Online Channel stakeholders.
Contribute to presentations for senior management that clearly and concisely present findings and recommendations.
Working with other members of the Digital team and tech define and establish standards, processes and policies for an online datamart.
Participate in the education of business partners in the area of data analytics.
Stay abreast of industry trends and innovations and drive new analytics initiatives that contribute to business goals.
Qualifications

MUST HAVES
Experience in developing logical/physical models for operational systems,
Experience in database administration and impact analysis of data structure changes.
5+ years experience in the following
ERWIN
OLTP
SQL or SAS
RUP
Oracle
MS Office Tools
Must have worked with Large Data - ability to create and manipulate Data Models
1 year experience with Hadoop
PGP encryption
Nice to have
Data ware house background

Skills:
Undergraduate university degree in business, statistics or analytically-based discipline, or equivalent experience; having a post graduate degree would be an asset.
Experience working with Data Warehouse environments and applications
Data mining and modeling capabilities with a solid background working with large data sets.
Excellent analytical, organization and presentation skills. A drive to understand the relationships between divergent data metrics.
Experience with cross-channel and data that spans multiple product groups
Experience with data sanitization such as masking, hashing, and obfuscation algorithms
Experience with data extraction, transformation, loading and governance.
Experience with the following software and tools:
Microsoft Office
SAS and SQL
Business Intelligence software such as Tableau, Crystal Reports, Business Objects or Cognos
SQL Server
SAS (PC and Host versions)
Win SQL
Encryption products like WinZIP and PGP
Experience with Web Analytics Applications like Adobe/Omniture, Google Analytics, Coremetrics would be an asset.
Strong online/web/digital experience and knowledge of the latest user trends and behavior.
A strong focus on attention to detail, accuracy and on-time delivery
Ability to work independently as well as a contributing member of the team.
Ability to prioritize competing tasks in a deadline-driven environment.
Strong interpersonal skills.
5-7 years experience required.
Additional Information
All your information will be kept confidential according to EEO guidelines.