Senior data analyst- jobs in East Orange, NJ

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. We are seeking a highly skilled and experienced Data Mapping/Business Analyst to join our team. The successful candidate will play a critical role in major data migration, conversion, and integration projects, leveraging deep knowledge of ALIP (Admin Server, Life Insurance Platform), ACORD standards, and the Life Insurance domain. This role requires exceptional analytical skills, proficiency in data modeling and mapping, and the ability to translate complex business requirements into detailed technical specifications. We are looking for a Business Analyst who can, but not limited to, the following: Analyze, document, and manage data mapping requirements for system conversions, integrations, and upgrades involving the ALIP platform. Analyze and map ACORD XMLs, JSON, flat files, and legacy data into target logical models. Define and document source-to-target data mappings for various data elements, including policy, product, party, claims, and financial data. Develop data transformation rules and logic for complex data elements. Demonstrate strong working knowledge of the ALIP platform's data model and functionality for various life and annuity products. Apply expertise in ACORD standards (e.g., ACORD XML, ACORD Life standards) to facilitate effective data exchange and interoperability. Conduct gap analysis between ACORD standards, source data, and target BRx models (Business Rules/Requirements models). Ensure all data mapping and integration solutions adhere to industry best practices and ACORD messaging specifications. Elicit, analyze, and document business requirements from stakeholders across various departments (Actuarial, Operations, IT, etc.) for life insurance modernization initiatives. Translate high-level business needs into detailed functional and non-functional specifications, including use cases and process flows. Serve as the subject matter expert (SME) for life insurance products, business processes, and related data structures. Validate that implemented solutions meet the original business requirements through rigorous testing and review. Collaborate with data architects, developers, and testers to ensure the accuracy and integrity of data transformations. Facilitate meetings and workshops with technical and business teams to resolve data and business process conflicts. Create and maintain essential project documentation, including Business Requirements Documents (BRD), Functional Specifications Documents (FSD), and Data Dictionaries. Required Qualifications 10-12+ years of experience as a Data Analyst, Business Analyst, or similar role, preferably within the Life and Annuity Insurance industry. Mandatory hands-on experience with the ALIP platform data structures and functionality. Proven expertise in ACORD standards and models, specifically related to Life Insurance and Annuities. Demonstrated proficiency in data mapping and developing detailed transformation logic across various data formats (XML, JSON, flat files). Strong SQL skills for data querying, analysis, and validation. Solid understanding of the end-to-end life insurance business lifecycle, including new business, underwriting, policy administration, billing, and claims. Excellent communication, presentation, and interpersonal skills. Our Process Schedule a 15 min Video Call with someone from our Team 1 Proctored GQ Tests (< 2 hours) Slideware (Presentation Deck) 30-45 min Final/tech Video Interview Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you within the hour.

*CANDIDATE MUST BE US CITIZEN OR GREEN CARD HOLDER* Job Title: Senior Data Analyst Experience: 5+ years About the Role: We are seeking a Senior Data Analyst to provide advanced insights, drive strategic decision-making, and lead analytics initiatives across the organization. This role involves analyzing complex datasets, building scalable dashboards, and influencing business strategy with actionable insights. Key Responsibilities: Lead analysis of large, complex datasets to uncover trends, patterns, and opportunities Design, build, and maintain dashboards and reports using Tableau, Power BI, or Looker Partner with cross-functional teams (Product, Marketing, Operations, Finance) to define KPIs and measure performance Translate data findings into actionable recommendations and communicate results to senior stakeholders Mentor junior analysts and promote best practices in data analysis, visualization, and reporting Drive process improvements through automation and advanced analytical methods Skills & Qualifications: 5+ years in data analysis, business intelligence, or analytics Advanced proficiency in SQL and Excel; experience with Python, R, or similar tools preferred Expertise in BI tools (Tableau, Power BI, Looker) and data visualization best practices Strong problem-solving skills and ability to translate data into business insights Excellent communication skills for presenting complex findings to technical and non-technical audiences Experience with data warehousing, ETL, and cloud analytics platforms a plus What We Offer: Competitive salary ($115k-$135k NYC range; higher depending on experience) Opportunities to lead high-impact analytics projects across the organization Professional development and career growth in a data-driven environment

Data Solutions - AI - ChatGPT Hybrid 4 days per week - New York We are partnering with a leading Private Equity firm seeking to modernize its operations through data, automation, and AI-driven solutions. This is a unique opportunity for a versatile problem-solver who can sit across applications and data, integrate systems, and pioneer the firm's use of AI technologies particularly ChatGPT and related tools to create tangible business impact. The role is hands-on, highly exploratory, and focused on “figuring things out” whether that means building a solution directly or identifying where specialist consultants should be brought in. You'll play a critical role in helping the firm embrace new technologies, streamline operations, and unlock the value of their data. You will sit between the IT and Data Science team working on both Projects and BAU. Key Responsibilities Work across business applications and data platforms to enable integration, automation, and efficiency. Lead projects to centralize and leverage data (e.g., bringing Sage and Allvue data into Snowflake). Explore, design, and implement AI-driven use cases, including the use of ChatGPT, to modernize workflows and enhance decision-making. Identify opportunities for automation and digital transformation across the firm's operations. Serve as a bridge between business needs and technology solutions, providing practical guidance on what should be solved internally vs. with external consultants. Continuously research and experiment with emerging tools to keep the firm ahead of the curve. Key Skills & Experience Strong understanding of application and data integration. Experience with data platforms (Snowflake preferred) and familiarity with financial systems (e.g., Sage, Allvue). Hands-on experience with automation tools and scripting (e.g., Python, APIs, workflow automation). Knowledge of and practical experience using AI/LLMs (e.g., ChatGPT) to solve business problems. Ability to work in an exploratory, solutions-focused manner, with a high level of autonomy. Strong problem-solving mindset-able to evaluate when to build, buy, or bring in external expertise. Personal Attributes Curious and entrepreneurial; thrives in ambiguity and enjoys “figuring things out.” Practical and solutions-oriented with a strong sense of ownership. Strong communicator who can bridge technical and non-technical stakeholders. Excited by the opportunity to help transform and modernize a business. What's on Offer The chance to shape the digital and AI journey of a forward-looking Private Equity firm. A broad, impactful role with exposure across applications, data, and AI. Opportunity to work in a high-trust environment where innovation and experimentation are encouraged. Competitive compensation package.

We are working with a fast-growing SaaS company that has about 500 employees. They're looking for a Senior Data Analyst to turn complex data into actionable insights for business and product teams. Responsibilities Build and maintain dashboards and reports using Power BI, SSRS, or Excel. Analyze large datasets using SQL and scripting languages (Python, R). Translate business questions into actionable insights and clear visualizations. Partner with cross-functional teams to define metrics and reporting needs. Ensure data quality and improve reporting workflows. Lead data projects and mentor junior team members. Requirements 4+ years of data analyst experience in a tech company. Strong SQL skills and experience with data warehousing concepts. Proficient with BI tools and scripting for data analysis. Skilled at turning business questions into actionable insights. Detail-oriented, proactive, and able to work independently in a fast-paced environment.

Job Title: Data Analyst IV Duration: 6 Months We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation. Responsibilities: Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business. Utilize AI tools to help automate routine analysis and scale solutions. Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact. Conduct in-depth investigations leveraging large and complex data sets. Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale. Inform and execute new strategies and tactics using analysis and impact metrics. Build narrative around data quality and provide insights that will help in better annotation project performance opportunities. Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation. Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions. Minimum Qualifications: Degree in a related field and 5+ years of work experience in an analyst role. Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics Experience building and maintaining dashboards for making business decisions Well-versed in AI prompt engineering and utilizing AI to analyze data Advanced Excel / Google Sheet experience Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels Ability to make judgments under tight deadlines and competing priorities Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others Preferred Qualifications: Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models Served as a thought leader for data-informed initiatives and contributed to the team's direction overall.

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************* Job Title: Principal Data Modeler / Data Architecture Lead - Capital Markets Work Location Jersey City, NJ (Onsite, 5 days / week) Job Description: We are seeking a highly experienced Principal Data Modeler / Data Architecture Lead to reverse engineer an existing logical data model supporting all major lines of business in the capital markets domain. The ideal candidate will have deep capital markets domain expertise and will work closely with business and technology stakeholders to elicit and document requirements, map those requirements to the data model, and drive enhancements or rationalization of the logical model prior to its conversion to a physical data model. A software development background is not required. Key Responsibilities Reverse engineers the current logical data model, analyzing entities, relationships, and subject areas across capital markets (including customer, account, portfolio, instruments, trades, settlement, funds, reporting, and analytics). Engage with stakeholders (business, operations, risk, finance, compliance, technology) to capture and document business and functional requirements, and map these to the data model. Enhance or streamline the logical data model, ensuring it is fit-for-purpose, scalable, and aligned with business needs before conversion to a physical model. Lead the logical-to-physical data model transformation, including schema design, indexing, and optimization for performance and data quality. Perform advanced data analysis using SQL or other data analysis tools to validate model assumptions, support business decisions, and ensure data integrity. Document all aspects of the data model, including entity and attribute definitions, ERDs, source-to-target mappings, and data lineage. Mentor and guide junior data modelers, providing coaching, peer reviews, and best practices for modeling and documentation. Champion a detail-oriented and documentation-first culture within the data modeling team. Qualifications Minimum 15 years of experience in data modeling, data architecture, or related roles within capital markets or financial services. Strong domain expertise in capital markets (e.g., trading, settlement, reference data, funds, private investments, reporting, analytics). Proven expertise in reverse engineering complex logical data models and translating business requirements into robust data architectures. Strong skills in data analysis using SQL and/or other data analysis tools. Demonstrated ability to engage with stakeholders, elicit requirements, and produce high-quality documentation. Experience in enhancing, rationalizing, and optimizing logical data models prior to physical implementation. Ability to mentor and lead junior team members in data modeling best practices. Passion for detail, documentation, and continuous improvement. Software development background is not required. Preferred Skills Experience with data modeling tools (e.g., ER/Studio, ERwin, Power Designer). Familiarity with capital markets, business processes and data flows. Knowledge of regulatory and compliance requirements in financial data management. Exposure to modern data platforms (e.g., Snowflake, Databricks, cloud databases). Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Job Title: Sr. Business Analyst / Data Analyst (Data Governance) Only W2 & Visa Independent Candidates with 10+ Yrs of experience Need local resumes with candidates open for Client In-Person interview. Domain: Strong Data Governance & Investment Banking experience is MUST. Overview: We are seeking a highly experienced Lead Business Analyst to champion risk governance and data management initiatives within our organization. The ideal candidate will possess deep expertise in data lineage, risk assessment, data quality, and governance frameworks, with a proven ability to lead complex programs across cross-functional teams in the BFSI sector. Key Responsibilities : Strategic Leadership- Own the end-to-end delivery of key phases: Data Lineage, Risk and Control Assessment, Data Quality, Testing, and Attestation. Shape and refine implementation strategies for high-risk data packages, setting execution priorities. Serve as the SME and escalation point for data risk, governance processes, and remediation planning. Program Oversight - 1. Data Lineage - Oversee the execution of data lineage mapping exercises across business units. Ensure completeness of lineage documentation, incorporating data transformations and manual interventions. Govern lineage quality metrics, gap identification, and remediation prioritization. 2. Risk and Control Assessment - Lead walkthroughs with business and control owners to assess ingestion-to-consumption risk. Review and validate control effectiveness across manual, automated, preventive, and detective controls. Guide the use of internal risk templates and align findings with enterprise risk taxonomy. 3. Data Quality & Profiling - Direct the design and execution of data profiling and anomaly detection, working with vendor tools (e.g., Anomalo). Guide business rule validation and help define or enhance enterprise DQ rules. Lead quality assurance documentation and remediation recommendations. 4. Issue Management and Remediation - Monitor the issue lifecycle, including severity tagging, impact assessment, and ownership tracking. Oversee governance reporting for remediation plans; ensure timely execution across teams. Maintain transparency with leadership on backlog status, risk exposure, and closure KPIs. 5. Testing & Validation - Supervise UAT cycles validating data quality rules, lineage completeness, and control coverage. Collaborate with data engineers and business testers to design and approve test plans. Validate control effectiveness across automated and manual pipelines. 6. Use Case Onboarding - Create and maintain templates for use case documentation (risk, control, lineage). Ensure each use case includes proper controls, lineage, risk documentation, and compliance guardrails. Standardize onboarding checklists and compliance approval workflows. 7. Operational Attestation Transition - Define and institutionalize the transition framework from project delivery to operational teams. Drive adoption of attestation templates, training materials, and feedback mechanisms. Ensure control ownership and documentation continuity post-transition. Required Skills and Qualifications Experience : 10+ years of experience in Business Analysis, Risk Governance, or Enterprise Data Management. At least 3 years in a lead or senior BA role overseeing cross-functional risk/data initiatives in BFSI. Proven experience managing stakeholders across business, technology, audit, and compliance. Technical & Domain Knowledge : Solid knowledge of risk frameworks (e.g., COSO, COBIT, BCBS 239). Deep understanding of data lineage, data quality measurement, metadata management. Familiarity with profiling/anomaly tools (Anomalo, Great Expectations), data cataloging (Collibra, Alation). Ability to read and interpret data flows, lineage diagrams, profiling logs. Soft Skills: Strong stakeholder engagement, facilitation, and negotiation skills. Detail-oriented with ability to synthesize complex topics for senior leadership. Capable of mentoring junior analysts and driving team collaboration. Partner with Heads of Risk, Business Data Stewards, Data Engineering, Compliance, and Internal Audit. Represent risk/data programs in governance forums and regulatory working groups. Liaise with vendor partners supporting profiling, lineage, or remediation.

Oncorre, Inc. is a boutique digital transformation consultancy based in Bridgewater, New Jersey, USA. Since 2007, the company has been providing innovative engineering solutions to Fortune companies and Government Agencies. Oncorre's mission is to accelerate the adoption of new technologies, untangle complex issues during digital evolution, and drive ongoing innovation for enterprises. Role Description This is a full-time/Contract hybrid role for a Senior Business System Analyst at our Client location in Jersey City, NJ. Local to New York, New Jersey. Recent experience in property and casualty insurance project. Good knowledge on claims, policy life cycle, insurance, accounting. Expertise in SQL. Good to have - Reinsurance, AI The role involves tasks such as business systems analysis, systems analysis, and defining business requirements. Reviewing the Mapping documents from source to destination. Leading the development team and making sure the deliverables are according to the acceptance criteria. Leading large team, managers in building large scale, highly available distributed Data. Strong experience in building production grade enterprise solutions. Qualifications Business Systems Analysis and Systems Analysis skills Analytical Skills and Business Analysis abilities Experience in defining and documenting business requirements Strong problem-solving and critical thinking skills Ability to work well both independently and in a team Excellent communication and interpersonal skills Knowledge of software development lifecycle (SDLC) methodologies Handson SQL Excellent Communication.

We are looking for a seasoned Senior Business Analyst (P&C is a MUST, Specialty and/or Commercial is a plus) with extensive experience in the insurance sector. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate effectively with both technical and non-technical stakeholders. They should have a proven track record of successfully managing and delivering complex projects within the insurance domain. Skills, Knowledge, and Abilities: * Solution, lead and drive projects to conclusion from a business point of view - time, budget, and scope definition. * Conduct thorough analysis of business processes and identify areas for improvement. * Collaborate with stakeholders to gather and document business requirements. * Design and implement innovative solutions to enhance business operations and drive efficiency. * Facilitate workshops and meetings to ensure alignment and understanding of project objectives. * Develop and maintain comprehensive documentation, including business requirements, process flows, and user stories with supporting acceptance criteria. * Provide ongoing support and guidance to project teams throughout the project lifecycle. Education/Experience: * 10 to 15 years of experience as a Business Analyst within the insurance industry. * Claims experience a positive. * Strong understanding of insurance products, processes, and regulations. * Understands claims from operation system standpoint. * Excellent analytical, problem-solving, and decision-making skills. * Exceptional communication and interpersonal abilities. * Proficiency in business analysis tools and methodologies. * Experience with project management and agile methodologies is a plus. * Bachelor's degree in Business Administration, Finance, or a related field. A relevant certification (e.g., CBAP) is highly desirable Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.

Data Scientist - Pharmaceutical Analytics (PhD) 1 year Contract - Hybrid- Plainfield, NJ We're looking for a PhD-level Data Scientist with experience in the pharmaceutical industry and expertise working with commercial data sets (IQVIA, claims, prescription data). This role will drive insights that shape drug launches, market access, and patient outcomes. What You'll Do Apply machine learning & advanced analytics to pharma commercial data Deliver insights on market dynamics, physician prescribing, and patient behavior Partner with R&D, medical affairs, and commercial teams to guide strategy Build predictive models for sales effectiveness, adherence, and market forecasting What We're Looking For PhD in Data Science, Statistics, Computer Science, Bioinformatics, or related field 5+ years of pharma or healthcare analytics experience Strong skills in enterprise-class software stacks and cloud computing Deep knowledge of pharma market dynamics & healthcare systems Excellent communication skills to translate data into strategy

Job Title: Senior Global Data Warehouse Architect Duration: Full-Time/Permanent We are seeking a Senior Global Data Warehouse Architect to design and deliver modern, scalable, and high-performing data platforms that enable advanced financial and operational analytics. The role focuses on defining enterprise data architecture strategy, optimizing data flows, and ensuring data structures are reliable, efficient, and built for analytical depth and scalability. The architect will develop data platforms that deliver reconciled financial and operational metrics, reduce time-to-insight, and establish standards for data governance, lineage, and model reusability to elevate data quality across the enterprise. **LAW FIRM EXPERIENCE REQUIRED. Responsibilities Design and implement enterprise-grade data architectures on Databricks, Snowflake, or similar platforms for real-time and batch analytical workloads. Build efficient ELT/ETL workflows using Spark, Python, and SQL to ingest, transform, and curate large volumes of structured and unstructured financial and operational data. Create and maintain dimensional, normalized, and semantic data models to support financial reporting, performance analytics, and forecasting. Lead integration design for financial and HRIS systems, ensuring accurate reconciliation and alignment with enterprise data warehouse schemas. Enforce data governance policies, lineage tracking, and metadata standards to ensure data accuracy, consistency, and regulatory compliance. Tune query performance, optimize compute and storage costs, and implement data caching and partitioning strategies to improve processing speed and efficiency. Collaborate with data engineers, BI developers, finance analysts, and technology teams to translate business requirements into scalable data solutions. Evaluate new tools, frameworks, and architectures to enhance data platform performance and scalability. Qualifications 8+ years of experience in data architecture, data engineering, or BI engineering roles. Hands-on experience architecting solutions on Databricks and/or Snowflake. Strong proficiency in SQL, Python, and Spark. Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault). Proven experience designing data lakes and lakehouse architectures. Familiarity with financial data structures, accounting schemas, and practice management systems such as Elite 3E or Aderant. Experience supporting financial planning, billing, profitability, and time & expense analytics. Experience with cloud platforms (AWS, Azure, or GCP), data platform tools (Databricks, Snowflake, S3, Delta Lake), and BI/visualization tools (Power BI, Tableau, or equivalent). Strong analytical, problem-solving, and communication skills. Ability to influence and align technical direction across teams. Relevant certifications preferred: Databricks Certified Data Engineer/Architect, Snowflake SnowPro Advanced: Architect, TOGAF or other enterprise data architecture credentials.

Data Architecture & Modeling Design and maintain enterprise-level logical, conceptual, and physical data models. Define data standards, naming conventions, metadata structures, and modeling best practices. Ensure scalability, performance, and alignment of data models with business requirements. Data Governance & Quality Implement and enforce data governance principles and policies. Define data ownership, stewardship, data lineage, and lifecycle management. Lead initiatives to improve data quality, consistency, and compliance. Enterprise Data Management Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks. Define and oversee the enterprise data architecture blueprint. Ensure alignment between business vision and data technology roadmaps.

Hi, I hope you are doing well! We have an opportunity for Data Architect with one of our clients for NYC, NY. Please see the job details below and let me know if you would be interested in this role. If interested, please send me a copy of your resume, contact details, availability, and a good time to connect with you. Title: Data Architect Location: New York, New York - Onsite Terms: Long Term Contract Job Details: Primary Skills: SQL,ORACLE,Snowflake,12+ years of experience in data technology At least 5 years as a Data Engineer with hands-on experience in cloud environments 8+ years of Python programming focused on data processing and distributed systems 8+ years working with relational databases, dimensional modeling, and DBT 8+ years designing and administering cloud-based data warehousing solutions (e.g., Databricks) 8+ years' experience with Kafka or other streaming platforms Exposure to AI based advance techniques and tools Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT. Experience with Java, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus Responsibilities: Architect streaming data ingestion and integration with downstream systems Implement AI-driven controller to orchestrate tens of millions of streams and micro-batches Design AI-powered onboarding of new data sources Develop AI-powered compute engine and data serving semantic layer Deliver scalable cloud data services and APIs with sub-second response times over petabytes of data Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources Build a self-service data management and operations platform Implement a data quality monitoring framework Qualifications: Bachelor's degree in Computer Science, related field; advanced degree preferred 12+ years of experience in data technology At least 5 years as a Data Engineer with hands-on experience in cloud environments 8+ years of Python programming focused on data processing and distributed systems 8+ years working with relational databases, SQL, dimensional modeling, and DBT 8+ years designing and administering cloud-based data warehousing solutions (e.g., Snowflake, Databricks) 8+ years experience with Kafka or other streaming platforms Exposure to AI based advance techniques and tools Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT. Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus Strong leadership abilities and excellent communication skills. Thanks Amit Jha Senior Recruiter at BeaconFire Inc. Email : ***********************

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical consumer goods manufacturing client in Summit, NJ. No Third-Party, No Corp to Corp, No Sponsorship Title: ServiceNow (CSM) Business Analyst Location: Summit, NJ Remote (Mon-Fri, 40 hours) must be able to work in LATAM, ANZ, APAC time zones Contract Duration: 12 months, with likely extension Pay Rate: $42.00 per hour (w2) Must Have Service Now CSM Customer Service Module experience only! Must Be Able to work in various times zones supporting LATAM, ANZ and APAC. Must Have Exceptional English Speaking Communication Skills ServiceNow Business Analyst Customer Service Module (CSM) We are seeking a ServiceNow Business Analyst for a multi-million-dollar initiative to implement ServiceNow's Customer Service Management (CSM) solution for our Call Center operations in LATAM, specifically Colombia. This role will involve collaboration with teams globally, including regions such as India, LATAM, ANZ, APAC, and potentially EMEA. Key Responsibilities: • Act as the primary Business Analyst for the implementation of ServiceNow's Customer Service Management (CSM) module. • Collaborate effectively with system integrators (e.g., SAP, Twilio/WhatsApp/WebMethods MFT), client technical teams, business stakeholders, and the Project Manager to ensure smooth project execution. • Lead weekly project plan calls, ensuring the team remains on track and documenting meeting notes and action items. • Capture and document user stories and requirements using Agile methodologies (e.g., JIRA, Scrum, Confluence). • Manage testing processes and ensure business engagement and participation in User Acceptance Testing (UAT). • Develop new enhancements for the CSM module, leveraging experience with various instances of ServiceNow. • Lead architectural reviews for necessary review boards to ensure that solutions align with technical standards and business needs. • Identify and articulate project risks and concerns, knowing when to escalate issues to appropriate stakeholders. • Maintain a high-level understanding of system integrations and IT architecture models to inform project decisions. • Document weekly status reports and communications using Microsoft PowerPoint and Excel. • Liaise with Business Analysts to review platform enhancement opportunities and identify value-added initiatives. Qualifications: • 5-8 years of solid experience in business analysis, preferably within Supply Chain IT and ServiceNow CSM. • Proven ability to perform business analysis duties for ServiceNow implementations, particularly with the CSM module. • Experience with ServiceNow is mandatory; familiarity with ServiceNow Contact Center solutions is a plus. • Experience working on complex IT-led projects across multiple workstreams. • Strong collaboration and communication skills, with the ability to work effectively with diverse teams across different geographical locations. • English is a must • Flexibility to work across various time zones to align with global project teams. • Proven experience leading architectural reviews and engaging with relevant review boards. Additional Information: • Collaborate closely with the manager to lead a capacity team based in India, primarily working on EST time to deliver continuous improvement initiatives.

AEGIS Insurance Services, Inc. (“AEGIS”) has an immediate opening for a Senior Business Analyst responsible for the delivery and management of one or more business applications and/or financial systems. The individual works closely with the Lead Business Analyst and/or the business to understand, prioritize, document requirements, and manage the configuration and implementation of business applications. The Senior Business Analyst also ensures that the development or configuration team fully understands the requirements, and oversees the coding/configuration, testing, and deployment of all application changes. Job Requirements: Minimum 10 years of business analysis experience; insurance industry experience Undergraduate Degree in Information Technology, Systems Management, or related field ServiceNow system experience is a plus Experience with application support, requirements definition, test plan development, QA/UAT test coordination, and testing prior to UAT Experience with project management and/or implementation of system requirements based on changes in workflow or changes in business requirements Experience in writing detailed application requirements with detailed scopes of work PEGA (or other BPM solution), Workday, and/or reinsurance system experience a plus Demonstrated ability to effectively plan, facilitate, and participate in meetings with employees from all organizational levels Demonstrated analytical thinking for problem resolution and process development Strong skills in prioritization and reprioritization to react to a dynamic environment Ability to work cross-functionally and think creatively, critically, and strategically Ability to translate business needs into efficient technology solutions Candidate Attributes: Collaborative Communications and Behavior: Develops and maintains effective working relationships as a team member and across divisions; readily collaborates and shares information, seeks and provides constructive feedback, and supports a respectful workplace Initiative and Accountability: Proactively addresses opportunities to enhance AEGIS' people, processes, products, and services, takes ownership for one's responsibilities by acting with integrity and in the best interest of the organization and stakeholders Quality-Focused: Demonstrates a solution-focus, displays thoroughness and accuracy through quality deliverables, and demonstrates persistence and perseverance in achieving concrete and tangible outcomes Service-Oriented: Conveys a genuine desire and ability to anticipate and meet customer needs and creates and nurtures mutually beneficial relationships within AEGIS and with AEGIS Members and brokers Essential Job Functions: Relationship Management and Customer Support Gain a clear understanding of the business applications and operational needs of the divisions supported Work closely with the business and other Business Analysts to identify requirements, prioritize the needs, document requirements, and manage them to final deployment Create and/or review job aids and conduct demos/training for complex functionality Collaborate with other IT teams for impact analysis of new and updated functionality Program/Project Management and Support Provide application support and QA management, including test plan development, and QA/UAT test coordination Define requirements, test plans, and deployment plans in support of the business unit Plan, coordinate, and monitor the progress of development projects to ensure their ongoing alignment with business goals Facilitate discussions and consensus among various project stakeholders, such as analysts, application programmers and business users May work individually or as part of BA team Quality Assurance and Continuous Improvement Provide a strong focus on overall quality, performance, and user experience of business applications or financial systems ***************** EOE AEGIS Insurance Services, Inc. participates in E-Verify We expect to pay a starting salary between $125,000 and $150,000. An applicant's placement within this range is based on their individual qualifications and professional experience. In addition to base salary, AEGIS employees are eligible to participate in the Company's annual incentive program, with competitive awards based on corporate and individual performance. In addition, we offer a comprehensive and competitive suite of options for health & wellness, retirement, income protection, time off and additional benefits: Health & Wellness: medical, dental, vision, mental health support, health savings account with a Company contribution, wellness and employee assistance programs Retirement: 401(k) plan with matching contribution Income Protection: life, disability, accident and critical illness insurance Time Off: Vacation days, sick days, holidays and family/military leave options Other: Commuter benefits, pet insurance, hybrid work schedule available Growth: Tuition assistance and professional development opportunities

Pay Rate: $50.00/hr to $55.00/hr on W2 3 months - possibility of extension Team culture/work environment: Ad tech - commercials advertising and linear systems. Support us ad sales and intl ad sales and affiliate business with tech solutions. Building convergent systems into one technology. Key projects: Program scheduling and programming systems. Modernization of existing systems. Doing business analysis of those two systems. Daily Responsibilities: Interacting with SME of current system to understand the current state and at the same time working with engineers to translate the requirements - core job responsibility Occasionally some cross team function Technology requirements: Standard BA skillset (excel, jira, confluence) Ad sales technology or scheduling technology like broadview Degree or certifications required: Bachelors required, no specific degree Years experience: 3-5 years of relevant experience Required background/ Skillsets: Preference for people that have ad tech background but open to general BSA experience. Required Skills: Skill: requirements gathering Skill: project management Skill: stakeholder management

We're looking for a detail-oriented professional to join our Legal Technology team. In this role, you'll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You'll Do Support case teams with technology solutions for document review, data processing, and case management. Build and maintain automated workflows using low-/no-code tools and scripting. Partner with internal teams to customize solutions and ensure seamless integration into legal processes. Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data. Provide training, documentation, and guidance to users on best practices. Contribute to eDiscovery processes, including data collection, processing, review, and production. Experiment with emerging AI and analytics tools to improve legal technology services. What We're Looking For Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.). Solid background in data handling, automation, or database administration. Familiarity with scripting (Python, Java) and text/data manipulation techniques. Understanding of analytics tools such as TAR, email threading, or concept analysis. Strong problem-solving skills and the ability to explain technical ideas in plain language. Excellent communication, organizational, and project management abilities. Bachelor's degree in Computer Science, Data Analytics, Information Systems, or related field. At least 5 years' experience working with litigation data or database platforms. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Title-Empower Certified Technical Analyst Mandatory Skills Waters Empower 3 platform Mandatory Waters Empower certified 5+ years supporting Empower 3 platforms in pharmaceutical R&D, including hands-on troubleshooting of instrument and software connection issues. Proven experience upgrading chromatography data systems in regulated environments (GxP), with strong understanding of CSV, audit trails, access controls, and change control. Strong knowledge of large-scale CDS environments (500+ users, 750+ instruments) and laboratory workflows; chromatography instrumentation exposure is highly preferred. Familiarity with LAC/e workstation concepts and client/server connectivity for CDS environments. Basic troubleshooting skills for Windows-based lab PCs, drivers, services, and network connectivity. Experience executing test scripts/checklists and documenting results with attention to detail. Proficiency with Microsoft 365 (Teams, SharePoint, Excel, Word, PowerPoint) for collaboration and documentation. Demonstrated supervisory experience leading small technical teams or deployment resources. Validation expertise: creation and execution/oversight of IQ/OQ; contribution to PQ as needed; audit-ready documentation practices. UAT experience: developing test cases, facilitating test execution, logging defects, verifying fixes, and sign-off coordination.

Act as a Enterprise Architect, supporting architecture reviews, design decisions, and strategic planning. Design and implement scalable data warehouse and analytics solutions on AWS and Snowflake. Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics. Collaborate with cross-functional teams (data engineering, application development, infrastructure) to align on architecture best practices and ensure consistency across solutions. Evaluate and recommend technologies, tools, and frameworks to improve data processing efficiency and reliability. Provide guidance and mentorship to data engineering teams, enforcing data governance, quality, and security standards. Troubleshoot complex data and performance issues and propose long-term architectural solutions. Support capacity planning, cost optimization, and environment management within AWS/Snowflake ecosystems. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.