Data analyst jobs in Old Bridge, NJ

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

📌 Hiring: Data Analyst II - Product Operations We're seeking a Data Analyst II to join the Product Operations team, focusing on product reliability, performance insights, and scalable data solutions. What You'll Do Build and maintain ETL pipelines, dashboards, and reporting infrastructure Analyze product data to identify trends, issues, and opportunities Create scalable data models and visualizations Collaborate with cross-functional teams across Operations, Engineering, and Data Present insights to non-technical stakeholders Improve processes and ensure high data quality Must-Have Skills Strong experience with ETL pipeline development Advanced SQL skills Proficiency with Tableau / Power BI / Alteryx Statistical analysis (hypothesis testing, regression, experimentation) Strong communication and presentation skills Nice-to-Haves Experience using AI tools for analysis or model performance measurement Experience working across time zones and diverse teams 📩 Interested candidates can share their resumes for immediate review.

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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.

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

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.

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

Sr. BA with Commercial Lines P&C insurance experience Contract, 12 months Hybrid, 3 days in week in the NYC (downtown) This will move quickly for the right candidate - there are multiple positions, starting early January MUST have Property and Casualty Insurance experience, commercial specialty experience is a plus Position Description: We are looking for a seasoned Senior Business Analyst with extensive experience in the insurance sector to work on data and finance transformation projects. 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. Experience: 10 to 15 years of experience as a Business Analyst within the insurance industry. Experience with data and/or finance transformation Strong understanding of insurance products, processes, and regulations. 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. Experience implementing VIPR a big plus Will need to provide samples of work Bachelor's degree in Business Administration, Finance, or a related field. 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.

Job Title: SME Product Analyst with Next Gen Software Solutions LLC Work Schedule: 5 days a week onsite Job Description: Credit Card Domain 15+ year of credit card, payments experience from banking industry 10+ years of experience in end-to-end lifecycle of Credit Card issuer area Expert in card application, account management, credit & terms, rewards & benefits, payment processing, billing and collection Expert in monetary processing, non-monetary processing, Credit Bureau Processing, Reissue, Month end processing, Experience in Payments, Rewards, Rules processing, Configurations, and Reporting, Experience in regulatory compliance in interest rate, and cardholder data Working knowledge of how credit card issuer lifecycle works for business / merchant, financial institutes • Good to have knowledge of BIAN methodology & standards Soft skill Collaborate with business stakeholders to understand and document current business processes and automation requirements. Ability to demonstrate, articulate functional implementation of card development projects Work with cross-functional teams to define and document detailed business requirements, including process flows, use cases, and user stories. Facilitate workshops and meetings to gather input and feedback from business users and subject matter experts Collaborate with IT teams to translate business requirements into technical specifications. Create test plans, test cases, and conduct testing to ensure that automation solutions meet business requirements. Provide training and support to end-users and ensure the successful adoption of solutions. Stay current with industry best practices and emerging automation trends. Behavioural Skills Good Communication skills Flexible to rotational shifts, 5 days WFO Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team About Next Gen Software Solutions LLC: Next Gen Software Solutions is a trusted provider of IT Staffing and consulting services dedicated to empowering businesses with cutting-edge technology solutions and exceptional talent. We specialize in delivering tailored IT consulting services, innovative software solutions, and connecting businesses with highly skilled IT professionals. Founded and led by a dedicated U.S. Army solider, Next Gen Software Solutions is deeply rooted in the core values of integrity, discipline, commitment, and experience-principles that guide every aspect of our operations. Equal Employment Opportunity Statement: Next Gen Software Solutions LLC is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.

Technology Business Analyst / Data Analyst We are seeking a skilled Technology Business Analyst / Data Analyst to join our technology organization. The role focuses on gathering business requirements, delivering technical solutions, and supporting adoption of technology solutions that optimize business processes. The analyst will work closely with internal teams, stakeholders, and external vendors. Responsibilities Analyze business processes, systems, and workflows to identify opportunities for improvement. Gather and document business requirements, user stories, and use cases. Translate requirements into technical specifications and solution designs. Design scalable, reliable, and high-performance software solutions. Define system architecture, including data models, application layers, integration points, and interfaces. Lead and participate in cross-functional project teams to deliver solutions on time and within budget. Create project plans, schedules, and resource allocations; track progress and manage risks. Collaborate with developers, QA teams, and stakeholders to ensure alignment between business needs and technical solutions. Execute manual UAT and production testing to validate functionality and data accuracy. Maintain documentation and support team knowledge sharing. Experience Level Domain experience in asset management or similar industries, with familiarity in investment workflows and data flows. Proven experience as a Business Analyst or Software Architect in technology-driven environments. Strong understanding of Agile or Scrum methodologies. Proficiency in business process modeling, requirements elicitation, and documentation. Strong analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills to collaborate across teams. Willingness to participate in on-call rotations and after-hours support. Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field. 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.

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values - proximity, teamwork, diversity, excellence - our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore. Context Ou client, a major Investment Bank located in NY is currently seeking a dynamic and skilled Market Access Application Support Analyst.This role is pivotal in maintaining and enhancing our high-performance trading platform and ensuring optimal operation in a fast-paced financial environment. Key Responsibilities Manage and enhance a robust trading platform utilizing cutting-edge and low-latency technologies. This platform is handling millions of daily transactions and a substantial volume of real-time financial data. Swiftly and effectively resolve complex technical issues and user queries. Monitor system performance, optimize processes, and conduct capacity planning in alignment with low latency requirements. Oversee advanced in-house solutions for order routing, data feeds, pre-trade checks, and trade reporting. Support over US based traders employing diverse strategies across various asset classes. Liaise with Exchanges and Trading Venues for the integration of new services. Collaborate with global technology teams within the organization. Develop and deploy innovative Market Access solutions to support business initiatives. Required Skills: Expertise in Unix/Linux system administration, including problem-solving and scripting (Shell, Python). Fundamental understanding of networking concepts (TCP/IP, routing, multicast). Proficiency in Windows environment management, including job maintenance and network analysis. Database skills, particularly MySQL, with the ability to perform basic queries. Knowledge of Stocks and Derivatives (Options, Warrants, Futures, Indexes, ETFs, etc.). Familiarity with American financial markets, including primary exchanges and ECNs.

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.

Job Description: Senior Insights Analyst Job Title: Product Insights and Analytics Duration: 12 months (Potential to convert to FTE) Interview Process: • 1st Round: TEAMS interview with manager • 2nd Round: In-person panel interview ________________________________________ Must Haves (Non-Negotiable Skills & Experience) • Fluent in Google Analytics (creating and manipulating dashboards) • Excel (Expert) and PowerPoint (Expert) • Tableau experience • Ability to compile and present data to stakeholders, explaining findings from both an analytical and big-picture perspective • Strong attention to detail and organizational skills, especially when reconciling multiple data sources • Values unpacking why outcomes occurred, not just reporting what happened ________________________________________ Deal Breakers • No experience compiling and presenting data to stakeholders while explaining findings from an analytical and big-picture perspective • Lack of experience in Google Analytics, Excel, or PowerPoint at an advanced level ________________________________________ About the Team The Product Insights and Analytics team enables and performs insights-driven analyses that fuel optimization across client growth and retention programs - specifically Field Web (Agent and General Office digital presence) and Financial Education initiatives. We partner closely with Product, Strategy, Marketing, and Field Enablement teams by turning complex data into clear, actionable insights for non-technical stakeholders. ________________________________________ Role Overview We're seeking a highly analytical, detail-oriented insights professional for a full-time, 12-month contract. This role will own monthly reporting for key digital client acquisition programs, delivering actionable insights using data from across multiple sources, and will support ad-hoc analyses upon request. You'll operate in a fast-paced, highly cross-functional environment where accuracy, clarity, and curiosity matter. Insight development, data integrity, visually compelling presentations, and high-quality storytelling are core expectations embedded across everything this role delivers. ________________________________________ Key Responsibilities 1. Monthly Reporting Compile and present recurring, high-visibility reporting that outlines program performance and informs leadership decision-making. At times, compiling the reporting may require reconciling disparate sources into a trusted, end-to-end campaign view. All reporting should identify trends, drivers, and opportunities - with the aim of clearly articulating the “why” behind performance. Perform thorough data validation and cross-checks to ensure accuracy across all reporting outputs. a. Financial Education • Own the monthly Financial Education performance reports, pulling from Salesforce, Excel-based sources, Tableau, PowerBI, and other internal datasets. b. Agent & GO Websites • Lead monthly reporting leveraging Google Analytics, and internal and vendor data sources. • Extract, segment, and structure Google Analytics data into meaningful groupings aligned to program goals. 2. Ad-Hoc & One-Time Projects Support ad-hoc analyses from partners across Field Enablement, Product, Marketing, and Strategy teams; provide clear, data-backed answers that guide program decisions. Balance these asks with ongoing monthly reporting deliverables. a. Strategic Support (ongoing, ad-hoc) • Respond to leadership and partner requests for targeted analyses, trend deep-dives, and program diagnostics. b. Analytics Readiness (ongoing, ad-hoc) • Partner with the broader Product Insights and Analytics team to ensure new metrics and features are measurable, reliable, and integrated into reporting. • Explore new datasets, test emerging KPIs, and help shape measurement frameworks as programs mature. c. Tracking & Data Quality (one-time project) • Update and validate tracking parameters (UTMs) across agent digital properties to ensure accurate downstream performance measurement. 3. Cross-Functional Partnership Collaborate across the Client Growth & Retention Value Stream to ensure alignment on goals, measurement, and insight needs. Support efforts to streamline and automate data processes by helping determine which metrics are essential for reporting automation. Serve as the day-to-day third-party vendor point of contact for data and reporting, coordinating data file exchanges and ensuring timely, accurate data delivery. ________________________________________ Required Skills & Experience • 5+ years in data analysis, insights, marketing analytics, or related roles • Proficiency in Excel and PowerPoint • Experience with Google Analytics required • Experience with data visualization tools; Tableau preferred • Familiarity with Insurance or Financial Services is a plus • SQL skills are a plus ________________________________________ The Ideal Candidate • Values unpacking why outcomes occurred, not just reporting on what happened • Learns business context quickly to ensure insights resonate with stakeholders • Demonstrates sharp attention to detail and strong organizational skills, especially when reconciling multiple data sources • Communicates clearly in writing and verbally, delivering crisp, executive-ready narratives • Manages competing priorities effectively and delivers consistently high-quality work • Navigates large, messy datasets confidently and solves creatively when data gaps exist • Collaborates well, adapts easily, and is eager to grow into new programs and datasets • Operates comfortably in fast-paced, ambiguous environments

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.

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: 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.

Functional Analyst -(Commercial Lines) Trenton, NJ (3 Days) Qualification At least 7-10 years of experience working as a senior IT Functional analyst for Guidewire implementations Strong background in P&C insurance processes, Guidewire products and their implementation, configuration, and customization Ability to lead strategy and requirement discussions and create precise requirement document Ability to influence decision making with focus on business outcomes Strong communication, negotiation, documentation, organizational, and planning skills Ability to create strong relationships and work collaboratively with multiple stakeholders and technical teams Strong problem-solving skills with a strong sense of individual ownership and accountability. Experience with MS Office Suite and Agile Scrum methodology using Agile Management tools such as JIRA/DevOps Must have Bachelor's degree or higher