Data Integration & Material Mapping Specialist
Data analyst job in Ewing, NJ
Our client is seeking a detail-oriented Data Integration & Material Mapping Specialist to support a critical acquisition integration project. This role involves transforming incoming material, product, and PDF-based information into company-standard templates and terminology. If you excel at highly tactical, structured work and love ensuring data accuracy, this is an ideal short-term assignment.
Duration: 2-3 Months (Early January Start)
Schedule: 3 Days Onsite per Week (Ewing, NJ)
Commitment: Must be able to commit to the full contract with no vacations or breaks
Key Responsibilities
Prepare and organize data and information from an acquisition for upload into company systems
Perform material description enrichment and transformation into company-standard terminology
Map PDF data into internal load templates with high accuracy
Execute structured, rules-based data transformation tasks
Ensure all information follows predefined data standards and formatting guidelines
Perform precise data entry using templates (Excel-focused; “glorified Excel”)
Support overall acquisition integration tasks and documentation
Required Skills & Experience
Strong attention to detail and ability to follow strict data rules
Excellent Excel and MS Office skills
Experience working with templates and high-volume data entry
Ability to interpret PDFs and accurately map data into company formats
Prior material data experience is a significant plus
Comfortable with tactical, structured workloads
Business Analyst - Product Management
Data analyst job in Piscataway, NJ
Client is a rapidly growing fragrance subscription service. Their continued growth has led them to seek an experienced Business Analyst - Product Management to optimize their operations systems, streamline integrations, and enhance business intelligence capabilities. Reporting directly to the Director of Digital Product, you'll drive continuous improvement and effective use of technology to elevate our operational efficiency.
Responsibilities:
Collaborate with Operations and Product teams to identify, document, and solve complex WMS and backend system challenges.
Provide software analysis and requirements for operational implementations (EDI, Shipping methods, WMS systems, Automation).
Coordinate data transfer / API troubleshooting and liaise between vendors and internal Product Team members.
Design, execute, and oversee rigorous system testing and validation processes, particularly within sandbox environments for WMS or supply chain applications.
Support integration projects with external vendors and actively contribute to requirements development.
Conduct detailed business intelligence and data analysis, identifying critical issues to prevent financial losses.
Contribute to operational technical system requirements such as Quickbase and CMMS.
Troubleshoot and analyze software issues related to fulfillment and other operational technologies.
Strong analytical and technical troubleshooting skills.
Collaborative, solution-focused mindset with project management capabilities.
Proactive, organized, and detail-oriented, with excellent communication skills.
Passion for continuous learning and adapting quickly to evolving challenges.
Willingness and ability to be onsite or maintain frequent visits for smooth operations and team collaboration.
Requirements:
4+ years of experience supporting or implementing software systems, preferably in product management or business analysis roles.
4+ years combined experience in warehouse management systems (WMS), supply chain technologies, EDI implementations, or similar domains.
Experience performing rigorous software testing and validation in Agile environments.
Ability to read, interpret, and communicate API functionality effectively.
Excellent documentation and communication skills for cross-team collaboration.
What You'll Love About Our Client:
Competitive base compensation and bonus program
Referral bonus
Paid Time Off and Wellness Time Off
Paid Parental Leave
401k with company match through Fidelity
Medical, Dental, and Vision Benefits
Company-provided Life Insurance, Short-term & Long-term Disability
Flexible Spending Accounts, Dependent Care FSA
Annual Education Stipend
Complimentary in-house Membership and discounts on owned brands
Monthly virtual team-building / educational activities
A fun, creative, and energetic work environment
Compensation:
Base salary:$100,000 - $120,000
Commercial Data Specialist, Life Sciences
Data analyst job in Somerville, NJ
Commercial Data Specialist, Life Sciences For Conexus Solutions, Inc. Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. - Branchburg, NJ, work w/ clients to define bus problems, anlys rqmts & determine sol.
rqmts; understand.
objective, participate in implement.
& support; gather rqmts to mng data; create doc of analytics use cases; commiss.
& decom data sets; design wireframes, extract insights & trends, support delivery of rprts & anlys; mng & design report.
environ; oversee rprts; troubleshoot report.
DB environ & rprts; eval changes & updates; train on rprts & dashboards.
Rqmts: MS or foreign equiv deg in Comp Sci, Info Tech, Healthc.
Informatics or rlt fld; 1 yr exp as Commercial Data Specialist, Life Sci or 1 yr exp as Data Analyst.
Rqrd exp incl.
data analytics, Pharma data sets, implement.
cmrcl data solutions for life sci co., adhere to analytics lifecycle & practices.
Exp can be gained while pursuing degree; profic.
in Python, SQL &/or visualization tools such as PowerBI, Tableau, or Qlik, pharma data sources such as PlanTrak, APLD & LAAD, & RWD sources; knowl.
of platforms such as Azure and/or AWS, Snowflake; underst.
of cmrcl pharma process. xevrcyc
Travel to client worksite in Bridgewater, NJ; National telecommuting; National roving w/o residential rqmt.
Work Location: Branchburg, NJ & client worksite in Bridgewater, NJ.
Apply to Philip Portantino:
SQL Senior Clinical AI Data Analyst
Data analyst job in Philadelphia, PA
Do you like working with data and analytics to evaluate AI models and their performance?
Do you love collaborating with teams to assess and improve generative AI solutions?
About our Team
Elsevier is singularly focused on helping healthcare professionals improve clinical outcomes through evidence-based care. Our generative AI team works on evaluating and implementing cutting-edge AI technologies to enhance our healthcare solutions while ensuring their safety, reliability, and compliance with healthcare standards.
About the Role
We are seeking a motivated individual to join our dynamic generative AI evaluation team. We focus on assessing and validating AI models that support healthcare decision-making tools. Our team ensures that our AI solutions meet rigorous standards for accuracy, fairness, and clinical relevance. The successful candidate will help evaluate model performance, analyze output quality, and ensure our AI solutions align with healthcare best practices.
The successful candidate has relevant experience with AI model evaluation, including performance metrics analysis, output validation, and data visualization. They enjoy collaborating with cross-functional teams including AI researchers, product managers, clinicians, and engineers to evaluate AI models, analyze their outputs, and improve their performance in healthcare contexts.
Responsibilities
Leading requirements gathering and development of analytics frameworks for evaluating generative AI models in healthcare applications
Leading and defining the strategic direction for AI evaluation methodologies in their product area
Managing the analytics roadmap for model evaluation. Collaborating with internal and external stakeholders to manage evaluation timelines and deliverables
Defining, developing, and deploying queries and metrics to assess AI model performance and output quality
Leading data model creation and maintenance for AI evaluation frameworks and monitoring systems
Conducting comprehensive QA of AI outputs and participating in risk analysis and mitigation
Understanding how security and privacy laws such as HIPAA affect AI deployment in healthcare. Understanding how to handle sensitive data including PHI and PII in AI contexts
Requirements
Extensive and relevant experience in data analytics including a depth and breadth of SQL Data Engineering
Demonstrated thought leadership in analytics strategy and enterprise-wide project implementation
Have current experience in a data analytics role
Have expertise in using and querying relational database management systems such as Microsoft SQL Server, Snowflake.
Have expertise in using BI tools such as Tableau or PowerBI
Medicaid Business Analyst
Data analyst job in Hamilton, NJ
Title: Medicaid Business Analyst
Client: State of NJ
Pay Rate: $34.04/ per hour (Without Benefits)
Duration: 06+ Months
Shift Timing (Day/ Evening/ Night): Day
Job Type (Contract/Full-time/Part-time): Contract
BG Check Required: Yes
Working Hours: Mon to Sun
Job Description
Equipment to be used by the temporary staffing professional(s) :
• Computer, copier, printer
Computer software to be used:
• Microsoft Office, Zoom, MS Teams
Interview Mode
• Virtual
Knowledge, skills, education, and/or experience
• Bachelor's Degree from an accredited college or university
• Social Services experience/background.
• Working in an office setting within a social services' related field.
• Previous employment in a local/federal eligibility office, preferred.
• Ability to understand computer systems as they relate to program activities
• Project management background
• Training/teaching experience
• Systems background helpful- but not required
Desired skills:
Duties/Responsibilities:
• Coordination of User Acceptance Testing
• Responding to Help Desk Tickets/Troubleshooting System Issues
• Writing of business requirements for systemchanges
• Train-the-Trainer activities
• Project management activities- facilitating meetings, coordination of training/materials, change management, coordination/liaison with vendors, local offices, executive management and Information Technology Units.
Required Skills
Microsoft Office applications such as Word, Outlook, Teams, Excel etc. Zoom
Bachelor's Degree from accredited college or university
Social Services background/experience. Working in an office setting within a social services' related field.
Ability to understand computer systems as they relate to program activities.
Project Management
Training/Teaching Experience
Highly desired Skills
Systems Background
Highly desired
Previous employment in a local/federal eligibility office.
Cloud Data Warehouse Architect
Data analyst job in Edison, NJ
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite , Price Rite , The Fresh Grocer , Dearborn Markets , and Gourmet Garage banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern's co-operative members benefit from the company's extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
Summary
The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases.
Essential Functions
Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
Define architecture standards and best practices for data warehousing and cloud infrastructure.
Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity.
Provide input for project plans and timelines to align with business objectives.
Monitor project progress, identify risks, and implement mitigation strategies.
Work with cross-functional teams and ensure effective communication and collaboration.
Provide regular updates to the management team.
Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
Communicates and promotes the code of ethics and business conduct.
Ensures completion of required company compliance training programs.
Is trained - either through formal education or through experience - in software / hardware technologies and development methodologies.
Stays current through personal development and professional and industry organizations.
Additional Functions
Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS.
Implement robust security measures to ensure data privacy and comply with regulatory standards.
Leverage cloud-native automation tools to streamline data management and reduce manual processes.
Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations.
Design and implement data integration solutions to automate data flow between systems and databases.
Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors.
Provides training and support to the end users of the cloud solutions.
Maintain detailed architecture documentation and best practices for the organization's data cloud infrastructure.
Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions.
Understands cloud FinOps including chargeback and alert monitoring
Qualifications
5+ years of experience in cloud data warehouse design, cloud computing, and data architecture.
A bachelor's degree or higher in computer science, information systems, or a related field.
Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.)
Knowledge of data security, encryption, and compliance in cloud environments.
Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms)
Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
Experience with data modeling tools.
Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar.
Strong knowledge and skills in data management, data quality, and data governance.
Strong communication, collaboration, and problem-solving skills.
Ability to work on multiple projects and prioritize tasks effectively.
Ability to work independently and in a team environment.
Ability to learn new technologies and tools quickly.
The ability to handle stressful situations.
Highly developed business acuity and acumen.
Strong critical thinking and decision-making skills.
Working Conditions & Physical Demands
This position requires in-person office presence at least 4x a week.
Python Data Controls Developer
Data analyst job in Mount Laurel, NJ
Mount Laurel, NJ - (3 days onsite role)
Mode of Hiring: Full Time
Salary: Negotiable for right candidates
Minimum of 7 - 10 years of experience working in a financial institution, preferably in Global Banks
Minimum of 7 - 10 years of experience in SQL development, including query optimization, stored procedures, and indexing.
Strong working experience in Python for data manipulation, scripting, and automation
Understanding of the Compliance domain and concepts i.e., Anti-Money laundering (AML), Know your Customer (KYC), Customer Risk Rating etc. is a must
Minimum of 5 - 7 years of experience in data (data lifecycle, data governance, data quality, Metadata, Data issue resolution and other data concepts)
Senior Healthcare Data Analyst
Data analyst job in Philadelphia, PA
About This Role:
At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects.
In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities.
What You'll Do:
Strategy & Collaboration
Collaborate with and mentor your team of analysts, developers, and data architects.
Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices.
Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
Technical Execution & Data Pipelines
Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability.
Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing.
Prioritize and manage project data flows to ensure timely delivery and effective resource allocation.
System Performance & Governance
Oversee monitoring and alerting systems to proactively identify and resolve potential issues.
Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications.
Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance.
What You'll Bring:
Required:
Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field.
Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology).
Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis.
Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices.
Nice-to-Haves:
Proficiency with modern web and cloud (AWS or GCP) technologies.
Strong understanding of U.S. healthcare policy and value-based reimbursement models.
Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards.
Why You'll Love Working at hMetrix:
We invest in our team's success and well-being. Here's what we offer:
Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match.
Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents.
Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours.
Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network.
About hMetrix:
For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization.
We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact.
Our Recent Impact:
Identified over $100 million in actionable annual savings through advanced algorithms.
Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions.
Reduced data processing time by over 90% through advanced technology and automation.
Supported policy initiatives to improve care for over 2 million beneficiaries.
Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance.
Location
150 Monument Road, Suite 203
Bala Cynwyd, PA 19004
Tel: ************** | Fax: **************
Guidewire Business Analyst with PolicyCenter & SBT Exp
Data analyst job in Piscataway, NJ
About role:
We are seeking a highly skilled Business Analyst - Guidewire (Commercial Lines) to join our dynamic team. The ideal candidate will lead product inception and configuration efforts for Guidewire Commercial Lines implementations, leveraging Guidewire SBTs and cloud expertise to deliver impactful business solutions.
Responsibilities
Lead pre inception and inception for Commercial Lines products using Guidewire SBTs
Ensure inception plan is created, maintained, and kept up-to-date for various releases.
Document Product Model using SBTs and state variations
Document requirements for Guidewire PolicyCenter, BillingCenter, and ProducerEngage
Hands on experience of working on projects implemented using Agile methodologies.
Experience of interacting with Business stakeholders and IT stakeholders to understand the requirements and translate them into functional requirements that can be used by Development and Testing Teams
Identify and document when business requirements which are not in scope (NFRs)
Provide direction, mentorship, and daily guidance to Business Analysts to keep analysis efforts aligned with business and delivery goals.
Actively perform hands-on requirements gathering, analysis, and documentation to support efforts, in addition to providing oversight and guidance.
Lead, mentor & coordinate with the offshore team.
Support User Acceptance Testing by ensuring timely BA responsiveness to UAT requests, triaging issues reported by testers, and coordinating necessary fixes.
Foster strong relationships with business stakeholders to build trust, deepen understanding of business processes and objectives, and ensure analysis deliverables are aligned with goals.
Knowledge, Skills & Experience:
The incumbent must have-
An overall work experience ranging between 7-12 years, with at least 5 years of Guidewire PolicyCenter implementation experience for Commercial Lines.
Guidewire cloud upgrade experience and Guidewire Cloud ACE Certification mandatory.
Guidewire SBT experience mandatory and strong experience on implementing Commercial lines on Guidewire suite.
About ValueMomentum:
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry, supported by deep domain and technology capabilities. We help insurers stay ahead with sustained growth and high performance for enhancing stakeholder value and fostering resilient societies. Trusted by over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the property and casualty. ValueMomentum is headquartered in Piscataway, NJ, with state-of-the-art delivery centers in Piscataway, NJ; Hyderabad, Pune, and Coimbatore in India; Toronto in Canada; and London in the United Kingdom.
Data Engineer
Data analyst job in Hamilton, NJ
Key Responsibilities:
Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.
Integrate and process Bloomberg market data feeds and files into trading or analytics platforms.
Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion.
Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL.
Manage FTP/SFTP file transfers between internal systems and external vendors.
Ensure data quality, completeness, and timeliness for downstream trading and reporting systems.
Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows.
Required Skills & Experience:
10+ years of experience in data engineering or production support within financial services or trading environments.
Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric.
Strong Python and SQL programming skills.
Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP).
Experience with Git, CI/CD pipelines, and Azure DevOps.
Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling.
Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools).
Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments.
Excellent communication, problem-solving, and stakeholder management skills.
Data Engineer - Sensor Data / Machine Learning
Data analyst job in Willow Grove, PA
Local Candidates Only - No Sponsorship**
A growing technology company in the Doylestown, PA area is seeking a Data Engineer to join
its analytics and machine learning team. This is a hands-on, engineering-focused role working
with real operational time-series data-not a dashboard or BI-heavy position.
We're looking for someone who's naturally curious, self-driven, and enjoys taking ownership. If
you like solving real-world problems, building clean and reliable data systems, and contributing
ideas that actually get implemented, you'll enjoy this environment.
About the Role
You will work directly with internal engineering teams to build and support production data
pipelines, deploy Python-based analytics and ML components, and work with high-volume
time-series data from complex systems. This is a hybrid position requiring regular on-site
collaboration.
What You'll Do
● Build and maintain data pipelines for time-series and operational datasets
● Deploy Python and SQL-based data processing components using cloud resources
● Troubleshoot issues, optimize performance, and support new customer implementations
● Document deployment workflows and data behaviors
● Work with engineering/domain specialists to identify opportunities for improvement
● Proactively correct inefficiencies-if something can work better, you take the initiative
Required Qualifications
● 2+ years of professional experience in data engineering, data science, ML
engineering, or a related field
● Strong Python and SQL skills
● Experience with time-series data or operational/industrial datasets (preferred)
● Experience with deploying machine learning
● Exposure to cloud environments; Azure experience is a plus but not required
● Ability to think independently, problem-solve, and build solutions with minimal oversight
● Strong communication skills and attention to detail
Local + Work Authorization Requirements (Strict)
● Must currently live within daily commuting distance of Doylestown, PA
(Philadelphia suburbs / Montgomery County / Bucks County / surrounding PA/NJ areas)
● No relocation, no remote-only applicants
● No sponsorship-must be authorized to work in the U.S. now and in the future
These requirements are firm and help ensure strong team collaboration.
What's Offered
● Competitive salary + bonus potential
● Health insurance and paid time off
● Hybrid work flexibility
● Opportunity to grow, innovate, and have a direct impact on meaningful technical work
● Supportive, engineering-first culture
If This Sounds Like You
We'd love to hear from local candidates who are excited about Python, data engineering, and
solving real-world problems with time-series data
Work Authorization:
Applicants must have valid, independent authorization to work in the United States. This position does not offer, support, or accept any form of sponsorship-whether employer, third-party, future, contingent, transfer, or otherwise. Candidates must be able to work for any employer in the U.S. without current or future sponsorship of any kind. Work authorization will be verified, and misrepresentation will result in immediate removal from consideration
Data Analytics Engineer
Data analyst job in Somerset, NJ
Client: manufacturing company
Type: direct hire
Our client is a publicly traded, globally recognized technology and manufacturing organization that relies on data-driven insights to support operational excellence, strategic decision-making, and digital transformation. They are seeking a Power BI Developer to design, develop, and maintain enterprise reporting solutions, data pipelines, and data warehousing assets.
This role works closely with internal stakeholders across departments to ensure reporting accuracy, data availability, and the long-term success of the company's business intelligence initiatives. The position also plays a key role in shaping BI strategy and fostering collaboration across cross-functional teams.
This role is on-site five days per week in Somerset, NJ.
Key Responsibilities
Power BI Reporting & Administration
Lead the design, development, and deployment of Power BI and SSRS reports, dashboards, and analytics assets
Collaborate with business stakeholders to gather requirements and translate needs into scalable technical solutions
Develop and maintain data models to ensure accuracy, consistency, and reliability
Serve as the Power BI tenant administrator, partnering with security teams to maintain data protection and regulatory compliance
Optimize Power BI solutions for performance, scalability, and ease of use
ETL & Data Warehousing
Design and maintain data warehouse structures, including schema and database layouts
Develop and support ETL processes to ensure timely and accurate data ingestion
Integrate data from multiple systems while ensuring quality, consistency, and completeness
Work closely with database administrators to optimize data warehouse performance
Troubleshoot data pipelines, ETL jobs, and warehouse-related issues as needed
Training & Documentation
Create and maintain technical documentation, including specifications, mappings, models, and architectural designs
Document data warehouse processes for reference, troubleshooting, and ongoing maintenance
Manage data definitions, lineage documentation, and data cataloging for all enterprise data models
Project Management
Oversee Power BI and reporting projects, offering technical guidance to the Business Intelligence team
Collaborate with key business stakeholders to ensure departmental reporting needs are met
Record meeting notes in Confluence and document project updates in Jira
Data Governance
Implement and enforce data governance policies to ensure data quality, compliance, and security
Monitor report usage metrics and follow up with end users as needed to optimize adoption and effectiveness
Routine IT Functions
Resolve Help Desk tickets related to reporting, dashboards, and BI tools
Support general software and hardware installations when needed
Other Responsibilities
Manage email and phone communication professionally and promptly
Respond to inquiries to resolve issues, provide information, or direct to appropriate personnel
Perform additional assigned duties as needed
Qualifications
Required
Minimum of 3 years of relevant experience
Bachelor's degree in Computer Science, Data Analytics, Machine Learning, or equivalent experience
Experience with cloud-based BI environments (Azure, AWS, etc.)
Strong understanding of data modeling, data visualization, and ETL tools (e.g., SSIS, Azure Synapse, Snowflake, Informatica)
Proficiency in SQL for data extraction, manipulation, and transformation
Strong knowledge of DAX
Familiarity with data warehouse technologies (e.g., Azure Blob Storage, Redshift, Snowflake)
Experience with Power Pivot, SSRS, Azure Synapse, or similar reporting tools
Strong analytical, problem-solving, and documentation skills
Excellent written and verbal communication abilities
High attention to detail and strong self-review practices
Effective time management and organizational skills; ability to prioritize workload
Professional, adaptable, team-oriented, and able to thrive in a dynamic environment
Business Analyst(Only w2)
Data analyst job in Trenton, NJ
Role : Business Analyst(Only w2)
Minimum 9+ Years of Experience required.
RESPONSIBILITIES:
The Business Analyst will be responsible for:
- gathering and documentation of business requirements,
- creating user interface/user experience mockups, workflows, use cases, user stories,
- user documentation for training purposes,
- test scripts and test plans.
Skills required:
- Experience in the complete SDLC including Agile methodology.
- Experience writing documentation including BRD, FRD, Use Cases, User Stories etc.-RD, Use Cases, User Stories etc.
- Experience with end user support using Adobe XD, Visio and other design tools (Adobe XD preferred).
- Ability to gather and interpret relevant information via interviews, observation, surveys, meetings and reading manuals/documentation.
- Experience in writing test plans and test scripts and conducting various testing.
- Experience in creating user training manuals and conducting user training and demos.
- Customer service/end user support/helpdesk support experience preferred.
- Ability to analyze complex business processes and workflows and propose areas for improvement.
- 4-year college degree or equivalent study required
If I missed your call ! Please drop me a mail.
Thank you,
Harish
Accounts Manager/Talent Acquisition
Astir IT Solutions, Inc - An E-Verified Company
Email:*******************
Direct : ***********788
50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
***************
Sr. Azure Data Engineer with Databricks Expertise
Data analyst job in Iselin, NJ
Role : Sr. Azure Data Engineer with Databricks Expertise
Exp : 12+
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.
Key Responsibilities:
1. Data Pipeline Development:
• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
2. Collaboration & Analysis:
• Work Closely with multiple teams to prepare data for dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
3. Performance & Optimization:
• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
4. Governance & Security:
• Implement and manage data security, access controls and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.
5. Deployment:
• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.
Technical Skills:
• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.
• Experience in developing real-time data solutions.
Certifications:
• Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Data Engineer & Analytics(Reporting, Visualization) (US Citizen Only)
Data analyst job in Philadelphia, PA
1. Comfortable writing and tuning SQL queries on Vertica .
2. Can work with large datasets.
3. Good understanding of MicroStrategy basics like Attributes, Facts, and Hierarchies.
4. Skilled at translating complex technical outputs into simple, meaningful visuals and summaries.
5. Experience optimizing MicroStrategy reports for performance and scalability.
6. Experience creating data pipeline using cloud platforms (edited)
Senior Data Engineer
Data analyst job in Philadelphia, PA
Full-time Perm
Remote - EAST COAST ONLY
Role open to US Citizens and Green Card Holders only
We're looking for a Senior Data Engineer to lead the design, build, and optimization of modern data pipelines and cloud-native data infrastructure. This role is ideal for someone who thrives on solving complex data challenges, improving systems at scale, and collaborating across technical and business teams to deliver high-impact solutions.
What You'll Do
Architect, develop, and maintain scalable, secure data infrastructure supporting analytics, reporting, and operational workflows.
Design and optimize ETL/ELT pipelines to integrate data from diverse internal and external sources.
Prepare and transform structured and unstructured data to support modeling, reporting, and advanced analysis.
Improve data quality, reliability, and performance across platforms and workflows.
Monitor pipelines, troubleshoot discrepancies, and ensure accuracy and timely data delivery.
Identify architectural bottlenecks and drive long-term scalability improvements.
Collaborate with Product, BI, Finance, and engineering teams to build end-to-end data solutions.
Prototype algorithms, transformations, and automation tools to accelerate insights.
Lead cloud-native workflow design, including logging, monitoring, and storage best practices.
Create and maintain high-quality technical documentation.
Contribute to Agile ceremonies, engineering best practices, and continuous improvement initiatives.
Mentor teammates and guide adoption of data platform tools and patterns.
Participate in on-call rotation to maintain platform stability and availability.
What You Bring
Bachelor's degree in Computer Science or related technical field.
4+ years of advanced SQL experience (Oracle, PostgreSQL, etc.).
4+ years working with Java or Groovy.
3+ years integrating with SOAP or REST APIs.
2+ years with DBT and data modeling.
Strong understanding of modern data architectures, distributed systems, and performance optimization.
Experience with Snowflake or similar cloud data platforms (preferred).
Hands-on experience with Git, Jenkins, CI/CD, and automation/testing practices.
Solid grasp of cloud concepts and cloud-native engineering.
Excellent problem-solving, communication, and cross-team collaboration skills.
Ability to lead projects, own solutions end-to-end, and influence technical direction.
Proactive mindset with strong analytical and consultative abilities.
Asset Management Analyst
Data analyst job in Philadelphia, PA
Company
Headquartered in Philadelphia, PREIT is a premier owner, developer, and operator of high-quality retail and mixed-use destinations across densely populated U.S. markets. Founded in 1960, the company has a storied history of transforming traditional shopping centers into vibrant, community-centric hubs that bring together shopping, dining, entertainment, and lifestyle experiences. Today, PREIT continues to redefine the future of retail by leveraging its portfolio's prime locations to deliver dynamic, multi-generational destinations.
Responsibilities
This position will support the Regional Asset Manager as it relates to company strategy and goals. This includes, but is not limited to, budgeting & forecasting, leasing analysis, deal execution, due diligence, analysis, and other projects that align with PREIT objectives such as transactions, refinancing, and development.
Essential Functions
Supports leadership in PREIT portfolio lease execution.
Create and update annual property budgets and creating forecasting models for region in Argus and Excel.
Develop pro formas and projections for leasing representatives to help them in negotiating transactions.
Develop and track pro formas for redevelopment projects.
Work closely with property management and accounting staff in coordinating collection efforts and responding to various tenant inquiries relating to co-tenancy, CAM audits and various other lease clauses.
Build and maintain quarterly covenant calculations for term reporting.
Participate in Regional Production meetings and ensure action items are addressed in a timely manner.
Monitor performance of the property and identifying operations and challenges and implement strategies to respond.
Review lease comments and work with Leasing Representatives to evaluate the impact of proposed changes and Landlord's risk and develop the appropriate responses to tenants.
Prepare financial projections for the properties and portfolio, and for properties under consideration for development.
Carry out special assignments/projects as assigned by management.
Assist team in acquisition, disposition, and refinance initiatives.
Qualifications
Bachelor's degree in Accounting, Finance, Real Estate, Business Management, or related field required. Master's Degree highly desirable.
1 - 5 years of experience in commercial real estate, financial analysis and/or contract and real estate law. A combination of equivalent education and experience necessary to effectively perform the responsibilities of the position.
Strong interpersonal skills; comfortable working with all levels of management, leadership, ownership, joint venture partners and external advisors.
Excellent written and verbal communication skills
Detail orientation demonstrated ability to multitask effectively, and strong analytical skills.
Competency in the use of Microsoft Office suite including Excel and PowerPoint. Experience using ARGUS or Yardi a plus.
Ability to work in Center City, Philadelphia office 4 days per week.
Benefits
401(k)
Health insurance
SAP SRM Procurement Analyst
Data analyst job in Middletown, PA
Work will largely be performed in SAP SRM, the Commission's Vendor Portal, internal SharePoint folders and documents as appropriate. This resource will work closely with IT procurement team members, members of the Commissions contracts and purchasing department, and also external stakeholders to the Commission.
• Manage staff augmentation requisition process including working with internal stakeholders to finalize requests
• Submitting staff augmentation requisitions to external vendors
• Entering shopping carts in SAP SRM
• Process changes to purchase orders in SAP SRM
• Assist IT team members with shopping carts and goods receipts as needed
• Review monthly invoicing for all staff augmentation and process change orders and goods receipts as appropriate
• Review IT dashboards for accuracy and maintain data as needed
• Develop and maintain a productive working relationship with technology staff, business owners, project sponsors, vendors, and key clients
• Work independently to accomplish the tasks and duties assigned
• Adhere to and follow all PTC standards, policies, and procedures
• Utilize various software and/or technology tools to perform job duties
• Perform tasks and other duties as assigned by the PTC
Minimum Experience
• 2+ years of experience in SAP SRM functions - Display, Shop, Receiving
• Proficient in the Microsoft Office 365 suite of business software including Teams, Word, Excel, and PowerPoint
Junior Data Engineer
Data analyst job in Philadelphia, PA
Remote
12-Month Contract-to-Hire
$30-35/hr. Depending on Experience
We are seeking a Junior Data Engineer to support the development and maintenance of data pipelines and analytics solutions. The ideal candidate will work alongside senior engineers and analysts to help manage data infrastructure, build scalable data workflows, and support business intelligence and AI initiatives. This role is ideal for someone with a strong technical foundation and a passion for learning who is looking to grow in the field of data engineering and analytics.
Requirements:
Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or a related field.
0-3 years of experience in a data engineering or analytics support role.
Proficiency in SQL and familiarity with relational databases.
Exposure to Python, R, or Spark for data processing.
Understanding of data modeling, ETL processes, and data warehousing concepts.
Willingness to learn and grow within a large-scale enterprise data environment.
Strong communication skills and ability to work with cross-functional teams.
Ability to follow documented processes and work under supervision.
Your Responsibilities Include:
Assist in building and maintaining data pipelines and workflows.
Support data ingestion, transformation, and integration tasks.
Help manage and document data schemas and metadata.
Collaborate with analysts and business users to understand data needs.
Participate in data quality checks and troubleshooting efforts.
Contribute to the automation of manual data processes.
Learn and support cloud-based data tools and platforms (e.g., Azure).
Stay current with new data technologies and best practices.
Participate in sprint planning and agile ceremonies with the team.
Preferred Experience:
Exposure to cloud platforms (Azure preferred).
Experience with data visualization tools (e.g., Power BI).
Familiarity with CRM systems and customer data.
Understanding of the retail energy industry is a plus.
Certifications in data engineering or cloud technologies are a bonus.
What's in it for you?
A welcoming, team-oriented environment where you'll gain hands-on experience with a Fortune 100 company. Eight Eleven Group offers health, dental, and vision benefits, weekly pay, holiday paid time off, and sick leave.
Employee Benefits - Data Analytics Intern
Data analyst job in Camden, NJ
Summary: The Intern for the Data Analytics and Underwriting Team is responsible for performing detailed consultative reviews of the health and welfare plans for prospective and/or existing clients. Focuses on analysis of plans and other financials, budget forecasting, plan modeling, contribution analysis, conducting trend and cost analysis of claim history. The Data Analytics Team supports the client facing consulting teams and the new business sales team in performing the analytical services noted throughout.
Principal Responsibilities:
Perform detailed consultative review of prospective/existing clients' health and welfare plans, including medical, pharmacy, dental, life, disability, long term care, re-insurance, voluntary plans. Review to include performing detailed gap analysis for all coverages, examining cost and policy data, plan design strategies, budget forecasting followed by detailed recommendations and corrective action steps for prospective/and or existing clients.
Work with the new business production team in the consultative review process. Interface with the prospective client in data collection. Prepare recommendations and presentations to support the RFQ/RFP process for new business.
Work with Consultants and Associate Consultants to analyze and negotiate rate renewals and year-end financials on behalf of clients. Responsible for proactive preparation for renewal negotiation process through detailed analysis of client objectives, performing claims experience and benchmarking analysis and identifying and introducing market trends to provide clients with an understanding and justification of renewal action. Prepare recommendations and presentations to support the RFQ/RFP process for renewal business.
Assist with project analysis work related to current clients. This may include but is not limited to claims analysis, trend and utilization analysis, IBNR and reserve studies, lag analysis, vendor discount reviews and other special on-going data projects requests that may arise on client business
Manage and perform benefit cost modeling projects using the BeneFuture tool.
Utilize the data results for clients using the BeneView data warehouse.
Manage and be engaged with the pharmacy coalition and preferred re-insurance terms.
Assist the consulting staff in the proper usage of these features and be engaged in the monitoring and analysis of the continued effectiveness of the tools.
Requirements:
Exceptional organization and customer service skills.
Excellent interpersonal, analytical, written and verbal communication skills.
Must be an enthusiastic self-starter, flexible, able to multi-task and delegate or handle responsibilities with minimal supervision.
PC proficiency , MS Office (Word and Excel) a must.
Working Conditions
Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong buildings and client work sites on a regular basis.
Effective June 1st, 2026, the pay rate for this role is $25 per hour.
Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity
or expression, national origin, ancestry, nationality, age, disability
(physical or mental)
, marital or domestic partnership or Civil Union status,
pregnancy, family medical history or genetic information,
atypical cellular or blood trait,
military service
or any other status protected by law.
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