Data analyst jobs in Binghamton, NY

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

Technical Data / Business Analyst - Hybrid in NYC (3 Days Onsite) Contract Role via Russell Tobin Pay: $75-$90/hour (W2), depending on experience Second-round interview is onsite - no exceptions Russell Tobin is partnering with a leading global financial services firm to hire an experienced Technical Data / Business Analyst for a contract opportunity based in New York City. This role sits within a high-visibility Risk & Compliance technology group and offers a chance to work with top-tier professionals in a collaborative, innovation-driven environment. What We Offer Opportunity to work with leading professionals in a firm that values both individual contribution and teamwork Modern, collaboration-focused office environment Flexible hybrid schedule (3 days onsite per week) Challenging, rewarding work with room for continuous learning and advancement A technology-forward environment focused on solving complex business problems Team Overview You will join the Non-Financial Risk Technology (NFRT) organization, which provides operational controls, surveillance capabilities, and technology solutions to strengthen enterprise resilience. The team supports critical business functions including business continuity, records management, due diligence, and compliance monitoring. This specific role is aligned with the Wealth Management Monitoring Department, supporting Risk & Compliance teams with tools and applications used to monitor Financial Advisor adherence to firm policies. Position Overview The Technical Data / Business Analyst will play a key role in business analysis, project management, and data analysis efforts related to model development, requirements documentation, UAT, and product support. The ideal candidate is analytical, detail-oriented, proactive, and thrives in a fast-paced, team-oriented environment. Key Responsibilities Elicit, analyze, and create business requirements documentation (Agile user stories, proof-of-concept models, supporting documentation) Analyze datasets to identify gaps and coordinate with cross-functional teams to resolve issues Work closely with development teams to ensure technical solutions meet business expectations Conduct Behavior-Driven Development (BDD), and write/execute User Acceptance Testing (UAT) plans Create and manage project plans; escalate risks and delays as needed Lead cross-functional initiatives, manage stakeholder communication, and oversee project risks Provide mentorship to junior team members Required Qualifications Bachelor's degree in Computer Science or related field 8+ years of experience as a Business Analyst in global organizations Strong Data Analysis skills with hands-on SQL and relational database experience Solid understanding of software development lifecycle (SDLC) and Agile methodologies Excellent written and verbal communication skills Ability to collaborate across global IT and business teams Self-driven, creative problem solver capable of owning deliverables Comfortable in fast-paced, high-pressure environments Strong customer service orientation and ability to navigate complex situations Background in trade lifecycles and asset classes (Equities, Fixed Income, Options, Futures) Knowledge of compliance surveillance platforms such as Actimize, MANTAS, SunGard, SMARTS, and exposure to models (wash trades, spoofing, insider trading, etc.) Desired Skills Experience with IT Project Management and SDLC (Waterfall/Agile) Experience with Behavior-Driven Development (BDD) Background supporting medium-to-large scale development projects Familiarity with trades data, positions data, and reference data About the Client Our client is a leading global financial services institution and a market leader in investment banking, securities, investment management, and wealth management. They are committed to fostering an inclusive workplace where individuals from diverse backgrounds can thrive and grow. Russell Tobin / Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), a 401(k) retirement savings plan, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with select vendors.

NAPCO Media (*************** a subsidiary of PRINTING United Alliance (*************************** is a fast-paced B2B media organization serving the printing, retail, and nonprofit industries. We specialize in the creation and cross-channel distribution of exceptional content on print and digital platforms such as newsletters, magazines, podcasts, social media, and events. Our mission is to build community between the audiences and clients we serve. Role Summary We are seeking a technical, production-focused Data Analyst to cover a 3-month leave. This role requires someone who can immediately take on survey programming, data cleaning, cross-tabulation, and chart creation with minimal ramp-up. This is not a general market research position - candidates must have hands-on experience with the specific tools and workflows listed below. Core Responsibilities Program surveys in SurveyMonkey, including advanced logic, piping, randomization, and QA. Manage collectors, fielding, troubleshooting, and survey flow validation. Clean and structure raw survey data in Excel (remove bad responses, combine datasets, build clean tables). Create segmented databooks (cross-tabs, banner tables) based on internal specifications. Build PowerPoint chart decks using provided templates and brand formatting. Perform QA on surveys, datasets, and charts to ensure accuracy and consistency. Work closely with the research team to deliver accurate, on-time backend outputs. Required Skills Strong, proven experience with SurveyMonkey programming (not just taking surveys - full setup and logic). Advanced Excel skills for cleaning, organizing, and segmenting data. Experience producing cross-tabs and analyzing survey-based datasets. Strong PowerPoint skills, especially charts and visual formatting. High attention to detail, independence, and reliability. Preferred Experience Prior work in research operations, data processing, or survey analytics. Experience with B2B or market research studies. Familiarity with external survey panels (helpful but not required). Experience with Q software (helpful but not required). Assignment Details Schedule: 30-40 hours/week Duration: 3 months Location: Remote Start: ASAP Focus: Pure production work (no client communication or project management) Email resume to ************. We strive to develop and retain a diverse, equitable, and inclusive workplace where all employees feel they are respected, treated fairly and given equal opportunity to excel in their careers. NAPCO Media is committed to providing equal opportunity for employees and applicants in all aspects of the employment relationship, without regard to race, religion, color, age, gender (including pregnancy, childbirth, or related medical conditions), marital status, parental status, sexual orientation, gender identity, gender expression, ancestry, national origin, citizenship, political affiliation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment decisions are decided on the basis of qualifications, merit, and business needs.

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.

The Epic Research Analyst I will be the principal analyst for the Epic Research module and the Research departments systems that might interface into Epic. They should have a thorough understanding of available technology, tools, and existing designs. This position is a full-time/salaried opportunity based in Hicksville, Long Island. Onsite schedule for the first 90 days, hybrid thereafter with 2 remote days. Duties and Responsibilities: 1. Provides guidance, expertise, and solutions related to available system options for build requests throughout all phases of the project development cycle. 2. Works closely with client management, clinical end users, operations, and leadership to identify and specify the complex business needs and processes for diverse development of workflows within the EHR as it applies to Research. 3. Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solutions for the systems design. 4. Performs analysis and system design. May code new or modified programs, reuse existing code with program development software alternatives and/or integrates purchased solutions. 5. Documents, tests, implements, and provides on-going support for the applications. 6. Provides highly technical consulting and leadership in identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives. 7. Acts as expert technical resource to development staff in all phases of the development and implementation process. 8. Performs related duties as assigned or requested. Requirements: · Education: Bachelor's degree, or an equivalent combination of education and work experience. · Epic proficiency or certification in Epic Research module · Strong understanding of Epic integration with various external platforms and systems · Strong communication, organizational and leadership skills

Vertex is a US-based tech company with 15 years' experience in Microsoft, Salesforce, BI, AI, and Cloud Computing. We have earned longstanding client relationships as trusted, long-term partners. Every day we inspire, innovate, and implement solutions that solve complex business problems using creativity and technologies that drive results. About the Role The Salesforce Business Analyst will act as a bridge between business stakeholders and technical teams, ensuring Salesforce solutions meet organizational goals. This role requires deep expertise in Salesforce Clouds, strong analytical skills, and the ability to document and capture business requirements to align with Salesforce Solution. Responsibilities Requirements regarding Gathering & Analysis: Collaborate with business stakeholders to understand processes, scope and pain points. Document functional requirements, user stories, and acceptance criteria. Align requirements working with Salesforce solution team. Conduct business gap analysis & FIT Gap analysis. Ability to run Salesforce reports and dashboards and perform data analysis. Own Requirements end to end. Solution Design & Validation: Work closely with architects and developers to share requirements and provide clarity on solutions. Validate solutions against business needs and Salesforce best practices. Conduct demo and smoke testing of delivered solutions. Process Optimization: Identify opportunities for automation and process improvements within Salesforce. Business gaps of processes (to be and current state). Testing & Quality Assurance: Support UAT, triage defects, smoke test, validate defects, and ensure successful deployment. Stakeholder Communication: Act as a liaison between business and technical teams, ensuring clear communication and alignment. Training & Documentation: Prepare user guides and conduct training sessions for end-users. Qualifications Experience: 12+ years in IT with at least 8 years as a Salesforce Business Analyst. Proven experience in multi-cloud Salesforce implementations. Certifications: Minimum two Salesforce certifications: Salesforce Admin, Sales Cloud consultant is mandatory to have. Technical Knowledge: Strong understanding of Salesforce data model, automation tools (Flows, Process Builder), and reporting. Familiarity with integration tools and data migration strategies. Ability to create reports & dashboards in Salesforce. Ability to download Salesforce data using data loader. Ability to work within Excel Sheet Pivot tables, VLOOKUP. Analytical & Communication Skills: Excellent problem-solving, documentation, and stakeholder management skills.

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly skilled Data Analytics and AI Consultant to support the enterprise-wide adoption of Artificial Intelligence-including GenAI, machine learning, and intelligent automation-as well as drive the implementation of our enterprise analytics strategy. This role will report to the Head of Enterprise Analytics and AI and operate within a cross-functional team delivering high-impact, analytics-driven transformation initiatives. The ideal candidate is a strategic thinker with strong leadership capabilities, hands-on experience in analytics and AI programs, and the ability to work closely with senior stakeholders to influence enterprise-wide change. This is an on-site position in New York City Key Responsibilities AI & Analytics Strategy Execution Assist in developing and executing strategic plans for the adoption of GenAI, machine learning, and intelligent automation across the enterprise. Support the continuous maturation of AI ideation intake, inventory management, prioritization frameworks, and governance routines. Coordinate with governance stakeholders and business use case owners to ensure alignment across AI initiatives. Program & Project Leadership Provide direct and indirect leadership across multiple high-impact AI and analytics programs. Oversee coordination efforts, cross-functional alignment, and priority-setting processes for AI and automation projects. Manage budgets, resource planning, vendor relationships, and operational support for major initiatives. AI & Automation Solution Implementation Support or drive the development and rollout of AI-driven solutions improving customer engagement, colleague productivity, operational efficiency, and revenue growth. Collaborate closely with technology teams and business partners to integrate AI solutions with existing systems and business processes. Enterprise Analytics Enablement Assist in developing and executing an enterprise-level analytics and reporting strategy. Create implementation roadmaps designed to support organizational adoption and measurement. Engage and influence key reporting and analytics partners, ensuring alignment, sponsorship, and successful delivery. Continuous Innovation & Governance Stay current with AI, machine learning, and automation advancements, applying new insights to enhance enterprise capabilities. Support additional enterprise initiatives focused on identifying and delivering high-value analytics and AI-driven improvements. Required Experience Minimum 4 years leading or contributing to technology-enabled business transformation initiatives. Minimum 3 years of hands-on experience in AI and/or analytics programs. Proven experience driving deliverables, influencing workstreams, and providing leadership across cross-functional teams. Preferred Skills & Qualifications MBA or equivalent professional experience preferred. 5+ years in Financial Services strongly preferred. Strong leadership, delegation, and executive-level communication skills, including experience interacting with C-Suite and Board-level stakeholders. Experience leading, supporting, or executing major analytics or AI initiatives within large organizations-particularly financial institutions. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $77 - $87 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

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.

Do you like working with data and analytics to evaluate AI models and their performance? Do you love collaborating with teams to assess and improve generative AI solutions? About our Team Elsevier is singularly focused on helping healthcare professionals improve clinical outcomes through evidence-based care. Our generative AI team works on evaluating and implementing cutting-edge AI technologies to enhance our healthcare solutions while ensuring their safety, reliability, and compliance with healthcare standards. About the Role We are seeking a motivated individual to join our dynamic generative AI evaluation team. We focus on assessing and validating AI models that support healthcare decision-making tools. Our team ensures that our AI solutions meet rigorous standards for accuracy, fairness, and clinical relevance. The successful candidate will help evaluate model performance, analyze output quality, and ensure our AI solutions align with healthcare best practices. The successful candidate has relevant experience with AI model evaluation, including performance metrics analysis, output validation, and data visualization. They enjoy collaborating with cross-functional teams including AI researchers, product managers, clinicians, and engineers to evaluate AI models, analyze their outputs, and improve their performance in healthcare contexts. Responsibilities Leading requirements gathering and development of analytics frameworks for evaluating generative AI models in healthcare applications Leading and defining the strategic direction for AI evaluation methodologies in their product area Managing the analytics roadmap for model evaluation. Collaborating with internal and external stakeholders to manage evaluation timelines and deliverables Defining, developing, and deploying queries and metrics to assess AI model performance and output quality Leading data model creation and maintenance for AI evaluation frameworks and monitoring systems Conducting comprehensive QA of AI outputs and participating in risk analysis and mitigation Understanding how security and privacy laws such as HIPAA affect AI deployment in healthcare. Understanding how to handle sensitive data including PHI and PII in AI contexts Requirements Extensive and relevant experience in data analytics including a depth and breadth of SQL Data Engineering Demonstrated thought leadership in analytics strategy and enterprise-wide project implementation Have current experience in a data analytics role Have expertise in using and querying relational database management systems such as Microsoft SQL Server, Snowflake. Have expertise in using BI tools such as Tableau or PowerBI

Primary Success Factors: Translates data requirements into applications that employ appropriate data models and ETL solutions. Analyzes, defines, develops, and maintains complex database structures and ETL architectures and applications. Creates data flows and ETL models defining the data transformation needs of projects. Ensures effective and efficient utilization of ETL processes when accessing, integrating, and delivering data between systems. Develops and implements data validation, auditing, reconciliation, testing methodologies, and integration processes. Co-ordinates with business/data analysts on data cleansing and data profiling activities to improve quality of data. Works closely with DBA Team and Operations to establish ETL job workflow with reliable error/exception handling and rollback framework, including scheduling, error management, restartability, email notifications, and information publishing. Develops and maintains accurate system documentation including information about attributes, lineage, and business rules. Assists in the gathering of metadata and maintenance of repositories and data dictionaries. Helps set standards and complies with Bank and data governance policies, procedures, and regulations to ensure safe and sound business operations. Recognizes and identifies potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding the security of financial data. Works with IT groups to implement a disaster recovery and business continuance solutions for ETL processes, including the installation, configuration, and testing of software. Participates in the development and maintenance of strategic, architectural, and tactical plans for the Bank's data integration technologies. Conversant with and cognizant of the future direction of systems, how that direction impacts the Bank, and how future and current systems can be exploited for the benefit of the Bank. Maintains understanding of data modeling and data integration technology trends and best practices and uses this knowledge to bring solutions to business units and IT; makes recommendations on buy vs. build decisions. Mentors Team members and is a technical resource on data integration and ETL technologies. Maintains understanding of information flows and the data integration technology to support the documentation of the all of the banks structured data flows. Provide production support for the banks integrated batch processing. Provides periodic reports on activities, accomplishments, issues and their solutions, as well as assisting in forecasts of future utilization, tools, and resource requirements. Ensures compliance with applicable policies, procedures and regulations to ensure safe and sound business operations. Prefer to be knowledgeable in Data Warehousing and Change Data Capture lifecycles and methodologies. Performs modeling of data sources and flows and works with Data Services staff to identify, design, and implement data warehouse objects - star schemas, multidimensional tables, and BI Universes - using best practices. Designs and develops prototypes, data classifications, and database tables and views to aggregate data as required for reporting optimization. Required Experience: Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Or equivalent work experience that includes knowledge of Data Warehousing, Data Integration, Data Transfer methodologies, and Database Management. Seven or more years leveraging Informatica Cloud toolset (IICS/IDMC) to build and orchestrate data pipelines, ensuring secure and efficient data exchange between cloud and/or on-premise platforms. Design, develop, and maintain scalable RESTful APIs to support data integration and application interoperability across enterprise systems. Prefer at least three years of experience in Data Modeling, or Data Integration, including experience using relational, star-schema, and multidimensional data models. Knowledge of current practices, theories, and approaches to performance tuning and optimization, collection of metadata, table partitioning, materialized views, and parallel processing. Proficiency in PL/SQL, SQL, and UNIX scripting. Prefer three or more years of experience as ETL Architect/Designer, including experience installing and configuring database and ETL software. Advanced-level experience in designing, developing, and maintaining data transfer maps and processes and database structures, including measure, dimension, and hierarchy objects. Ability to analyze and interpret financial information and data to implement business/transformation rules, data profiling, data cleansing, and reconciliation processes to ensure data quality. Knowledge of operating systems hardware and software, relational databases, and software development tools including but not limited to Linux, Windows, Oracle, SQL-Server, Erwin, MS-Access, and MS-Excel. Strong interpersonal, communication, and writing skills; able to work independently or in a team environment. Experience with Agile methodologies to effectively participate in cross functional teams.

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.

*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

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers' compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports. Analyze complex datasets to identify trends and develop actionable insights that align with business objectives. Develop, own, and manage recurring analytical and reporting processes. Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders. Proactively convey complex analytical findings, ensuring clarity and understanding across teams. Qualifications: Personal Attributes: Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly. Eager to learn and embrace new technologies and solutions. Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies. A collaborative team player with a positive outlook, eager to uplift and energize those around you. Key Competencies: Marketing Analytics: Familiarity with various marketing channels and their impact on business performance. Knowledge of industry trends and best practices in marketing analytics. Experience with experiment design, including A/B testing and multi-touch attribution modeling. Expertise in analyzing marketing performance metrics and calculating ROI. Statistical Modeling and Analysis: Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling Experience with statistical software such as SQL, R, Python, and Power BI. Nice to Haves: Experience in data visualization and familiarity with Salesforce. Knowledge of marketing research methodologies and tools. Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing Experience in developing and implementing machine learning algorithms for predictive insights. Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making. Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

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.

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

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.

Role: Insurity Business Analyst Job Responsibilities/KRAs: Must have least 5+ years of experience as a business analyst in US property and casualty insurance domain and Insurity suite. Has experience in working on Conversion or Data migration with at least one of Insurity InsuranceSuite of products like Policy Center, Billing Center, or Claim Center Has thorough understanding of ISO/NCCI/Bureau products Has excellent verbal and written communication skills Has good understanding of personal or commercial line policies Is required to work with onsite counterpart as well as direct customer on BA activities and deliverables Will provide pre-construction walkthrough to development and QA teams Will attend post-construction walkthroughs to ensure the developed feature is in line with requirements Will own BA deliverables A successful candidate will have at least 5 years of experience in one of the Insurity products (OR) 5 years on any other COTS product as a business analyst Possess previous experience in one or more of the following areas: Possess strong understanding of the Insurity Data model, implementation of Conversion business rules and corresponding data model changes Ability to prepare the mapping document with required GW fields for payload generation Experience in using GW Policy Migration Tool (PMT) is a plus Has good functional understanding of GW OOTB products Having any experience with PC UI, UW Issues, Rating, Forms or Product Model is an added advantage

One of the nation's largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (NYSE: UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 300 corporation, annual revenues were $15.8 billion in 2024. During the year, UHS was again recognized as one of the World's Most Admired Companies by Fortune; and listed in Forbes ranking of America's Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 99,000 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located all over the U.S. States, Washington, D.C., Puerto Rico and the United Kingdom. *********** The Corporate Information Services Department is seeking a dynamic and talented Application Analyst II - Training Content Developer. The Application Analyst II - Training Content Developer provides training content development services to all UHS operations to increase the effectiveness of UHS staff and management to ensure the delivery of superior quality healthcare services to all customers. Develops management and employee training initiatives with respect to both content and delivery methods for UHS facilities to achieve learning objectives. Assists with training initiatives and projects and provides ongoing support for assigned divisions and departments. Works in a collaborative environment with other learning professionals, subject matter experts (SMEs), and business leaders to analyze learning needs and develop interventions as required. This includes, but is not limited to, classroom and virtual delivery. Key Responsibilities include: Able to deliver training materials that meet the learning objectives for Workday technical skills and related business processes; plans, designs, and develops methods for the assessment and evaluation of learners. Develops training aids, manuals, help content, and other reusable materials to meet the pre-defined curricula, course outlines, and instructional methods. Can highlight when updates to curricula may be needed. Develops and maintains documentation (including Glossaries, FAQs and intuitive self-service within Workday for end users). Provides analytics around material/training usage and training effectiveness. Regularly assesses and analyzes training needs, identifies gaps and recommends solutions. Ensures that training materials are developed to facilitate a learning experience that is interactive and engaging (using a blend of live demonstrations, hands-on exercises, and eLearning modules). Consults with leadership to develop and deliver learning initiatives to improve employee performance. Position Requirements: Associate's degree required, Bachelor's degree preferred. 3-5 years of experience in training development, particularly in ERP system implementations, or comparable enterprise software training programs. Proven experience in creating and delivering training materials for large-scale systems, preferably Workday or similar ERP Cloud platforms via eLearning, classroom training, and virtual sessions. Experience with WalkMe, Maverick, and/or Workday Case Management (WD articles and the Workday Chatbot) is preferred. Working knowledge of adult learning methods and practices. Ability and experience to engage UHS sites/departments to identify and address the needs of learners working in our facilities. Experience with Learning Management Systems (LMS) and learning content development tools. Excellent interpersonal and communication skills. Has exposure to instructional design and curriculum development for designing, developing, and implementing training experiences (incorporating a blend of eLearning, classroom training, and virtual sessions) to engage learners. Ability to multi-task and prioritize workload in a fast-paced environment. Training: Related ERP (preferably Workday) or LMS/LCMS (preferably Healthstream) training / certifications. Travel Requirements: Up to 50% travel during 3 months leading up to go-live events, standard travel up to 25%. This opportunity provides the following: Challenging and rewarding work environment Growth and development opportunities within UHS and its subsidiaries Competitive Compensation Excellent Medical, Dental, Vision and Prescription Drug Plan 401k plan with company match Generous Paid Time Off

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.