This page tracks remote data analyst openings that are location-eligible for New York.
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• Analyze healthcare-related data, such as claims (e.g., CMS) and national surveys/databases (e.g. MEPS). • Construct, clean, statistically model, and report findings using SAS and Python or R. • Implement statistical methods to analyze data. • Follow programming guidelines and rigorous quality assurance approaches, including the maintenance of accurate documentation for the programs. • Analyze data, summarize results, and incorporate findings into memos, briefs, and/or reports tailored to client needs. • Interact professionally with peers, managers, and clients. • Strictly adhere to timelines and deadlines. • Apply quantitative methods and techniques to manage, analyze, and interpret research data. • Construct, clean, and document large datasets for both internal use and project-specific needs. • Contribute to the design and methodology of research studies. • Assist in the preparation of technical procedures, documentation, and reports. • Review work products to ensure accuracy, clarity, and consistency of content.
Buyers Edge Platform: the leading foodservice Digital Procurement Network, powered by data, software, and collaboration.
• Maintain and update master data records to ensure accuracy, completeness, and consistency • Review, clean, and normalize data from a variety of sources - including distributor feeds, manufacturer files, and internal systems - to ensure uniform formatting and structure • Recognize and correct data discrepancies or pattern inconsistencies to prevent errors from entering the company’s master database • Standardize incoming data for end-user reporting and business analysis • Map distributor product data to manufacturer products based on product history, manufacturer knowledge, and external resources (e.g., catalogs, websites) • Maintain an average of 1250 products mapped weekly (range of 1000-1500) • Verify and update product attributes - including brand, category, and manufacturer information—based on available and validated data sources • Conduct routine data audits and contribute to continuous improvement efforts for data accuracy, automation, and process efficiency • Support the development and enforcement of data governance standards and best practices • Collaborate with cross-functional teams to enhance data quality, streamline workflows, and document data management procedures • Participate in database cleaning and normalization projects as assigned • Assist in testing and providing feedback on evolving data management tools and automation technologies. • Assist in new team member training such as, but not limited to, mapping and cleansing data • Maintain Annual objectives and/or projects • Maintain business objectives
Starting with pioneering R&D in supercomputing, JWay expanded into a Development Center in the Philippines, offering quality digital solutions worldwide. Through the years, JWay partnered with enterprises like Cisco on innovative projects. By 2022, it further diversified into web and mobile development, enterprise solutions, and staffing, providing comprehensive client services
Role Description We are seeking an experienced Business Analyst with a strong background in Marketing Analytics and Customer Data Platforms (CDPs) to support an Optimizely Data Platform (ODP) implementation. This role serves as the bridge between business stakeholders and technical teams, ensuring customer data, marketing requirements, and platform configurations align with business objectives. This is more than a traditional requirements gathering role. You will: - Evaluate solution designs - Validate implementation strategies - Review customer data models - Ensure the platform is configured to support measurable marketing outcomes The ideal candidate combines business analysis expertise with strong data literacy and the ability to communicate effectively across technical and non-technical teams. Qualifications - Minimum of 3 years of experience as a Business Analyst, Technical Business Analyst, or similar role - Experience supporting Marketing Analytics, Customer Data Platforms, or digital marketing initiatives - Experience gathering business requirements and translating them into technical solutions - Exposure to enterprise system integrations, APIs, customer data, and event tracking - Strong stakeholder management and cross-functional collaboration skills - Excellent written and verbal English communication skills Requirements - Experience with Optimizely Data Platform (ODP) is highly preferred - Experience with Customer Data Platforms such as Segment, Tealium, ActionIQ, Salesforce CDP, or similar platforms - Strong understanding of customer data architecture, identity resolution, and event-based tracking - Knowledge of relational databases and data modeling concepts - Experience working with REST APIs and enterprise integrations - Ability to write SQL queries for data validation and analysis is highly preferred Benefits - Part-Time Contract - Project Duration: 3–6 Months (Extendable) - Work Schedule: Approximately 15–20 Hours per Week - Rate: Hourly basis Abilities - Strong analytical and problem-solving skills - Ability to translate complex technical concepts into clear business recommendations - Excellent documentation and process mapping skills - Strong stakeholder management and communication abilities - Detail-oriented with a focus on data quality and solution accuracy - Ability to work independently while managing multiple priorities - Comfortable collaborating across business, marketing, and technical teams Application Process If you are passionate about bridging business strategy with technical execution and enjoy solving complex data and marketing challenges, we encourage you to apply. Please note that only qualified candidates will be contacted. JWay Group is proud to be an Equal Opportunity Employer. We value diversity and are committed to fostering an inclusive and supportive workplace for all.
An extra dose of NPR: the stories behind the stories plus corporate news and announcements.
• support product analytics needs for the NPR App, site, and video, and work closely with the Insights Sr Manager of product analytics. • develop and manage measurement plans for NPR's owned and operated platforms using Google Tag Manager, and QCing tags after implementation • independently write SQL queries to provide performance analytics across app, video, and website datasets • maintain primary relationships with stakeholders within Product to support daily analytics needs • partner closely with Data Products to consult on App dashboard and tool design based on stakeholder needs • partner with a sustainable system of self-service for app analytics • support diagnosing and resolving data issues • streamline scheduled queries, data summaries, and other infrastructure • write guides and documentation for app, video, and website analytics
CPI teaches the skills that give professionals the confidence to de-escalate and prevent workplace violence.
• Own the vision and technical strategy for data engineering at CPI, defining how data is ingested, modeled, and delivered across the organization. • Establish strategy, governance, and architecture to ensure reliability, quality, and health of all data ingestion pipelines. • Lead and develop a team of Data Engineers and Data Analysts responsible for CPI’s data platform and engineering roadmap. • Evolve data governance policies, standards, and quality frameworks across the full data engineering lifecycle. • Scale foundational data infrastructure to accelerate enterprise‑wide AI and generative AI initiatives. • Develop new techniques, reports, and models that improve insights, accessibility, and data‑driven decision making. • Design and develop solutions supporting ingestion, provisioning, and visualization of complex enterprise data for analytics, reporting, and data science. • Create and implement design standards and assurance processes for software, systems, and applications to ensure compatibility and operability of data connections, flows, and storage.
• Lead the maintenance, governance, and continuous improvement of AI Operations dashboards, scorecards, KPIs, and reporting assets. • Ensure operational, consumption, billing, and performance reporting remains accurate, reliable, and actionable. • Track adoption, usage, consumption, cost, billing, capacity, and operational performance trends across AI platforms and services. • Deliver recurring executive, operational, financial, and consumption reporting packages. • Analyze operational and financial data to identify trends, risks, opportunities, and areas requiring attention. • Investigate reporting discrepancies, consumption anomalies, and unexpected usage patterns to determine root causes and recommend corrective actions. • Perform deep-dive analysis of AI operational, financial, adoption, and consumption data. • Correlate data from multiple sources to provide meaningful insights and recommendations. • Develop executive-ready summaries, trend analysis, and operational performance narratives. • Oversee consumption monitoring, utilization reporting, billing visibility, and cost transparency processes. • Support forecasting, budgeting, chargeback, and show back reporting activities. • Identify opportunities to improve operational efficiency and optimize resource utilization. • Partner with Finance to support AI consumption reporting and cost management activities. • Maintain reporting standards, data quality controls, metric definitions, support documentation, and reporting governance processes. • Ensure consistency and integrity of operational, financial, and consumption reporting. • Support operational audits, compliance reporting, and governance reviews. • Partner with Operations, Support, Engineering, and Finance teams to resolve reporting questions, data issues, and operational reporting needs.
• Collect, clean, transform, and validate data from multiple sources • Build dashboards, performance reports, and standardized visualizations • Apply statistical methods to analyze performance trends and business outcomes • Execute recurring analytics processes and recommend efficiency improvements • Troubleshoot data discrepancies and maintain procedural documentation • Translate business requirements into clear analytical outputs • Support automation and workflow optimization for reporting and analysis • Contribute to cross-functional analytical initiatives with increasing independence
Liberty University is the largest Christian University in the world, offering a premier Christian education to nearly 100,000 online and offline students. Found
• Analyze workflow issues and data integrity problems, provide recommendations on resolution, and advise management accordingly. • Conducting and leading projects to accompany the transformation of Liberty’s business processes through the effective collection, processing, and visualization of data. • Document and optimize business processes by researching industry best practices and supporting the development of solutions for current business operations. • Develop a deep understanding of core business processes and how performance is measured, and work with business units to discern strategic and analytical data and analytics needs and gaps. • Utilize diagnostic/predictive/prescriptive analysis to derive business insights and direct/drive action that increases revenue, decreases cost, and/or mitigates risk. • Possess a thorough understanding of University systems and data sets, and be able to summarize and describe raw data sets for departmental use. Support validation processes to ensure data accuracy. • Analyze data to align with organizational goals and relay business impacts of findings through data-driven recommendations. • Collaborate closely with business units and provide expert input on functional business topics. • Streamline business processes by leveraging new or existing technology, including application and reporting development, while adhering to internal development and publication standards. • Provide operational support to assigned business units' systems, including technical assistance. • Provide regular updates to customers on business process improvement and new technology activities, maintaining a high level of customer service. • Mentor junior analysts on standards, best practices, and advanced analytics techniques. • Assist department leadership with daily coordination of duties, projects, and tasks, including supporting the interviewing process for new hires.
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. BILL builds high performing teams and we seek to hire the best talent for every role.
Role Description Join BILL as a Senior Staff Product Analyst on our Central Data & Analytics team, where you’ll turn our rich payments and back-office data into the trusted products, models, and insights that power decisions across the company. In this high-visibility individual contributor role, you’ll be the deepest technical and analytical authority in your domain, architecting the data products and frameworks that underpin strategic, operational, and regulatory outcomes for leaders across Finance, Product, and Go-to-Market. You’ll sit at the intersection of data architecture, product analytics, and executive decision-making, setting the bar for how analytics is built and consumed at BILL. If you love taking ambiguous business problems from idea to production-grade data assets, care deeply about metrics rigor and data quality, and thrive as the person others call when the problem is hard and high stakes, this role is for you. Responsibilities: - Own end-to-end delivery of high-leverage data products — from ambiguous business problem to production-grade dashboards, semantic layers, and data marts — with clear accountability for design, build, and impact. - Architect scalable, reliable data models and pipelines that serve as the organization’s source of truth, balancing performance, cost, governance, and usability. - Define, document, and enforce technical standards for AI governance, data quality, metrics definitions, and dashboard design, creating patterns that other analysts and engineers adopt. - Translate complex, high-stakes business questions into rigorous metrics frameworks, instrumentation plans, and experimentation or analysis approaches that executives can act on with confidence. - Act as a force multiplier by mentoring analysts and engineers across teams, reviewing designs and code, and raising the technical bar through example and guidance. - Build trusted advisory relationships with senior leaders, influencing data and analytics strategy and helping resolve cross-team misalignment around data ownership, definitions, and architecture. - Drive org-wide adoption of data products and standards through clear documentation, training, office hours, and proactive communication — measuring success by usage, trust, and decision impact. - Evaluate and apply AI/LLM-based tooling to accelerate analysis and self-serve consumption of data products, e.g. natural-language query interfaces, automated metric anomaly detection, or AI-assisted documentation, while ensuring outputs meet the same governance and accuracy bar as human-authored analysis. Qualifications - 10+ years of progressively deeper experience in analytics, BI, or data engineering, with a track record of independently owning large-scope, high-impact initiatives end to end. - Expert-level SQL skills, including query optimization at scale, advanced window functions and CTEs, and the ability to explain and improve complex queries and modeling approaches. - Deep data modeling expertise (e.g., dimensional and incremental modeling, partitioning/bucketing strategies) and experience embedding data quality, security, and access controls into models by default. - Hands-on experience with a modern cloud data warehouse or lakehouse platform (such as Snowflake, Starburst/Trino, Databricks, or similar) and at least one BI platform (such as Tableau, Looker, or Power BI). - Exceptional stakeholder communication skills, with a history of turning complex technical tradeoffs into simple, compelling narratives and recommendations for senior, non-technical audiences. Desired Qualifications - Working proficiency in Python for data manipulation, pipeline logic, analytics tooling, or automation. - Demonstrated experience shaping data or BI standards across an organization (for example, AI governance, KPI certification, or enterprise metric frameworks) and influencing without formal authority. Requirements - The estimated salary range for this role is noted below for our San Jose based role: $167,400 — $200,700 USD. - The estimated base salary range for this role is noted below for our office location in Draper, UT: $142,300 — $170,600 USD. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.
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• Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. • Develop actionable recommendations and partner with business leaders to prioritize and implement improvements. • Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. • Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights. • SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. • Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
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SQL, Tableau, Python, Segment, Salesforce, REST API
