Data analyst jobs in Edison, NJ - 3,449 jobs

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite , Price Rite , The Fresh Grocer , Dearborn Markets , Fairway , Dibruno Bros. and Gourmet Garage banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern's co-operative members benefit from the company's extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. Summary The Analyst will use statistical techniques and machine learning to analyze complex data sets to extract insights that will be used to inform strategic decisions across Wakefern. Essential Functions Partner with internal stakeholders to identify business needs and deliver analytical insights in a uniform, consumable format Make data-driven business recommendations to leadership and membership based on results/trends identified in data analysis Design, and implement descriptive, predictive, and prescriptive analytical models for use across a wide range of business cases such as customer segmentations, sales planning, and marketing. Collaborate with IT to enable data and system architectures that simplify data accessibility, collection and curation for analytical purposes Own the process of gathering, extracting, and compiling data across sources via relevant tools (i.e. SQL, R, Python) Develop dashboards which drive actionable insights; educate stakeholders to drive adoption of reporting. Foster a collaborative and innovative work environment across Wakefern Additional Functions Monitor data pipelines and identify potential data quality issues; enforce data quality standards Challenge assumptive thinking and the status quo through data-driven analysis Agility to adjust priorities and work on multiple projects at the same time, while addressing ad hoc data requests Qualifications Minimum of 4-year bachelor's degree in business, Data Analytics, Economics, Statistics or related degree. Advanced degree preferred 4+ years of advanced analytics or data science experience in a business environment; Grocery or CPG industry experience a plus but not required Proficient in programming languages such as Python, R, & SAS/SQL are required, VBA a plus Proficient in Data Visuals & Data Visualization tools (i.e. Tableau, Power BI, Looker) Familiarity with Google Cloud tools (i.e. BigQuery & Vertex AI) and database structures Working Conditions & Physical Demands Ability to monitor computer screens for long periods of time Ability to work a hybrid schedule, with a current requirement of 4 days in person Ability to flex hybrid schedule to attend important meetings and vendor or store visits based on business needs Competencies Communicate Effectively Drive for Results Embrace Change Stay Competitive Build Relationships Develop You Compensation and Benefits The salary range for this position is $85,000 to $130,000 annually. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements. About The Work This is intended to set forth the general nature and essential duties and responsibilities of the work performed by associates for this position. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of associates to do this job. Associates may be assigned additional responsibilities as necessary. The Company reserves the right to revise this at any time and to require associates to perform other tasks as circumstances or conditions of its business, competitive considerations or the work environment changes. This document describes the position currently available and is not an employment contract. To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. If requested, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The position covered by this Job Description is expressly declared to be “at will,” meaning Wakefern has the right to terminate the incumbent's employment at any time, with or without cause. Any written or oral promises or representations to the contrary are expressly disavowed and should not be relied upon by any associate. Any change to this “at will” employment status must be in writing and signed by the Vice President of Human Resource.

⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for a Data Moderator-Analyst focused on AI Data Collection, requiring a Bachelor's in a quantitative field and 1+ years of relevant experience. Contract length is 4-6 months, with a pay rate of $17.00 - $20.00 per hour, onsite in specified locations. Locations Brooklyn - 1090 Carroll Street, Apt 1R, Brooklyn, NY 11225 Bordentown - 348 Farnsworth, Bordentown, NJ Jersey City - 932 Summit Ave, Jersey City, NJ 07307 Las Vegas - 1237 Darmak Drive, Las Vegas, NV 89102 Atlanta, GA & Cleveland, OH - Onsite Key Responsibilities Data Sourcing and Collection: Execute and monitor data collection processes to acquire diverse, high-volume, and high-quality data sets essential for training AI/ML models. Collaboration: Work with Data Engineers and Scientists to define and implement robust data collection methodologies and pipelines. Analysis and Reporting: Conduct descriptive and diagnostic analysis on collected data to identify trends, patterns, and issues that could impact model performance. Statistical Validation: Utilize statistical methods to validate data samples and test hypotheses related to data distribution and model requirements. Reporting & Visualization: Create clear, concise reports and visualizations (e.g., dashboards) to communicate data collection progress, quality metrics, and key findings to technical and non-technical stakeholders. Required Qualifications Bachelor's degree in computer science, data science, statistics, mathematics, or a related quantitative field. Freshers/ Recent Graduate/Interns/1+ years of experience working as a Data Analyst or in a similar role involving extensive data manipulation and quality assurance. Soft Skills Analytical and Problem-Solving: Proven ability to analyze complex data issues and develop practical, data-driven solutions. Communication: Excellent written and verbal communication skills to articulate technical findings clearly to diverse audiences. Attention to Detail: Meticulous approach to data management and quality control, critical for AI performance. Collaboration: Ability to work effectively within a cross‑functional team of Data Scientists, Engineers, and Domain Experts. Freelance data hiring powered by an engaged, trusted community - not a CV database. Pay: $17.00 - $20.00 per hour Work Location: In person #J-18808-Ljbffr

A leading e-commerce platform is seeking a Software Engineer to join the ML Training Data team in New York. This full-time role involves building infrastructure for machine learning datasets, optimizing data pipelines, and collaborating with scientists. Candidates should possess strong programming skills in Scala and Python, along with an interest in machine learning. Etsy values curiosity and a growth mindset, offering competitive compensation and benefits, including equity and bonuses. #J-18808-Ljbffr

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $600B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio's investors include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' list of Next Billion Dollar Startups, 2025. We've raised $16M to date, our product is already used and loved by the world's leading marketers and creators- and we're just getting started. Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $130,000 & $ 225,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. #J-18808-Ljbffr

The Subscriber & Commerce Data Science team at Disney Streaming builds machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer lifetime value across our streaming platforms, including Disney+, Hulu and ESPN+. We play a key role in growing the business by increasing payment success, reducing fraud, improving retention, and enabling value measurement through user-level lifetime value (LTV) modeling. We're hiring a Data Scientist to help design, build and deploy machine learning solutions that solve key business challenges. In this role, you'll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business impact. Responsibilities Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction. Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation. Collaborate with Product and Engineering to deploy models into production environments and monitor performance. Design and analyze A/B tests and other experiments to assess model impact. Implement batch and real-time inference pipelines for fraud detection and payment optimization use cases. Insights & Strategy Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights. Translate complex data into clear, data-driven recommendations to improve business outcomes. Cross-functional Collaboration Partner with stakeholders to translate business needs into machine learning problems. Collaborate with Engineering to improve data pipelines, experimentation frameworks, and model monitoring. Communicate insights effectively to technical and non-technical stakeholders. Basic Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience developing and deploying machine learning models in production. Proficiency in SQL and Python (e.g. Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark. Preferred Qualifications Deep expertise in statistical modeling and machine learning, including Bayesian methods. Familiarity with tools like Databricks, Snowflake, Airflow, GitHub. Experience designing and analyzing A/B tests and other experiments. Experience with data visualization and exploration tools such as Tableau, Looker. Ability to choose and justify appropriate modeling and statistical techniques for varied problems. Comfortable working in fast-paced environments with evolving priorities. Excellent communication skills with both technical and non-technical audiences. The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year and in New York City, NY is $120,300 to $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

Business: Disney Direct to Consumer Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep Analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data Sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

EDO is the TV outcomes company - a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco. We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office. The Role Data Scientists at EDO drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits. What You Will Do Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs. Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years. Develop reusable tools and building blocks for connecting data sets. Build, diagnose, and tune models, then automate the modeling and diagnostics. Work on a small team and take ownership of high impact projects. What We Are Looking For 3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python. Interpersonal and communication skills to work effectively on a distributed team. Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools. Experience with git and exposure to unit testing concepts. Understanding of biased data and adjustment methods including weighting and resampling. Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Building models of sales lift, running controlled experiments, modeling marketing effectiveness. Familiarity with panel datasets, especially ones with missing data and attrition. Development and test pipelines, continuous integration. Development of feature engineering pipelines and DBT. Implementing or auditing policy compliance in data pipelines and workflows. EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired. EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA When in an office, employee meals, snacks, and more fully paid for The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

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.

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing. Responsibilities This role will be responsible for Compiling periodical fund performance analyses Review and analyze portfolio performance data, benchmark performance and risk statistics Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems Apply queries, pivot tables, filters and other tools to analyze data. Maintain client relationship management database and providing reports to Directors on a regular basis Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization Provide various ad hoc data research and analysis as needed. Desired Skills and Experience Bachelor's Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience Proficiency in Microsoft Office, particularly Excel Modeling Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint Outstanding communication skills, proven ability to effectively work with all levels of Managment Comfortable working in a fast-paced, dead-line driven dynamic environment Innovative and creative thinker Must be detail oriented

Data Analyst - Cost Estimation & Insights (SQL-Heavy) Our client is seeking a data-driven problem solver to join their core cost estimation team. This role is best described as a “Business Analyst on steroids”-focused on deep data investigation, root-cause analysis, and insight generation within production data environments. This is not a machine learning or advanced modeling role. The ideal candidate thrives in SQL, enjoys untangling complex data issues, and can translate business logic into clear analytical findings. Key Responsibilities Investigate and analyze complex data issues within cost estimation outputs, including identifying erroneous, missing, or illogical results Use SQL extensively to mine large datasets, uncover patterns, and determine why issues are occurring-not just that they exist Translate business rules and product logic into clear analytical queries and insights Perform root-cause analysis on production issues such as service failures, inconsistent outputs, or data gaps Communicate findings clearly to product and technical partners to inform prioritization and product improvements Support ongoing product maturity as solutions move into and operate within production environments Ideal Candidate Profile Very strong SQL skills are required; this is a query-heavy, insight-driven role Solid (but not advanced) Python skills are acceptable; Python is secondary to SQL Exceptional data mining and analytical reasoning skills, with the ability to independently investigate ambiguous or open-ended problems Strong logical thinker who can connect business rules to real-world data behavior Prior healthcare data experience is highly preferred due to the complexity of the datasets Comparable skill set to a high-performing senior analyst or decision scientist What This Role Is Not Not a machine learning or statistical modeling role Not focused on advanced data science techniques Not primarily an executive presentation role Why This Role Matters As the client's product continues to operate in production, data anomalies, investigation requests, and insight needs are increasing. This role is critical to enabling faster issue diagnosis, smarter prioritization of fixes, and continuous product improvement.

Must Haves 1-3 years proven experience using ServiceNow, especially the asset management module. Strong knowledge of hardware asset management and lifecycle processes. Hands-on troubleshooting experience with PC, iOS, Windows 10, hardware, software, Microsoft O365, and Zoom. Experience managing inventory levels across multiple offices/regions (ideally EMEA). Excellent problem-solving and technical troubleshooting skills. Strong written and verbal communication skills with a focus on high-end customer service. Ability to engage with stakeholders at all levels, including senior executives. Highly organized with strong attention to detail and ability to follow/create structured processes. Ability to work independently and collaboratively in a fast-paced environment. Self-starter with drive to learn and grow. Plusses Experience supporting office openings, relocations, expansions, and closures. Familiarity with procurement processes and working with third-party vendors. Prior experience creating and maintaining Knowledgebase articles. Exposure to white glove support for senior stakeholders. Background in EMEA deployments and audits. Day to Day In this role, you will manage and maintain hardware asset inventory within ServiceNow, ensuring accurate tracking and reporting across EMEA. You'll conduct regular audits to maintain compliance and reconcile discrepancies, while monitoring ticket queues to prioritize and resolve break-fix issues promptly. Daily responsibilities include troubleshooting hardware and software problems across PC, iOS, Windows 10, Microsoft O365, and Zoom, as well as installing and configuring computer systems and applications. You will provide high-touch, white glove in-person support to end users-particularly senior stakeholders-and oversee seamless hardware deployments. Collaboration is key, as you'll liaise with Infrastructure and Application teams on escalated issues, work with vendors and procurement teams to manage hardware orders, and partner with internal teams to ensure best practices in asset lifecycle and IT support. Additional tasks include maintaining accurate documentation of asset activities and ticket resolutions, creating and updating Knowledgebase articles, supporting EMEA satellite office operations such as openings and relocations, and assisting with onboarding new hires to ensure their technology is provisioned and ready. Day to Day Manage and maintain hardware asset inventory in ServiceNow, ensuring accurate tracking and reporting across EMEA. Conduct regular audits to ensure compliance and reconcile discrepancies. Monitor ticket queues in ServiceNow, prioritize based on urgency, and respond promptly to break-fix issues. Troubleshoot hardware/software issues across PC, iOS, Windows 10, O365, and Zoom. Install and configure computer systems and applications. Provide in-person, white glove support to end users, especially senior stakeholders. Oversee deployment of hardware assets to end users for a seamless experience. Liaise with Infrastructure and Application teams on escalated issues. Maintain accurate documentation of asset activities, incidents, and resolutions. Create and maintain Knowledgebase articles. Support operations of EMEA satellite offices (openings, relocations, expansions, closures). Assist with onboarding new hires and ensure technology provisioning. Collaborate with vendors and procurement teams for hardware orders. Work closely with internal teams to ensure best practices in asset lifecycle and IT support.

A leading crypto and Web3 platform in San Francisco is seeking a Staff Data Platform Engineer to own and evolve the data warehouse infrastructure. This role requires a minimum of 8 years of experience in data engineering and strong hands-on experience with Databricks and AWS. The ideal candidate will also mentor engineers and influence architectural decisions. The position offers a competitive salary, flexible work options, and comprehensive benefits. #J-18808-Ljbffr

A leading freelance data services provider is seeking a Data Moderator-Analyst focusing on AI Data Collection. This role requires a Bachelor's degree in a quantitative field and 1+ years of experience in data analysis. Key responsibilities include executing data collection processes, analyzing data trends, and creating reports for stakeholders. Join us to be part of a trusted data community, with an hourly pay rate between $17.00 and $20.00, onsite in specified locations. #J-18808-Ljbffr

A global marketplace for creative goods is seeking a Data Engineer to join their Core Data team. This role involves building and maintaining data pipelines, ensuring data quality, and collaborating with product engineering teams to analyze buyer behavior. The ideal candidate has experience with streaming data processing and SQL, though enthusiasm and a willingness to learn are equally valued. This full-time position offers competitive salary and benefits, as well as opportunities for equity and bonuses. #J-18808-Ljbffr

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite , Price Rite , The Fresh Grocer , Dearborn Markets , and Gourmet Garage banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern's co-operative members benefit from the company's extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. Summary The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases. Essential Functions Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems. Define architecture standards and best practices for data warehousing and cloud infrastructure. Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity. Provide input for project plans and timelines to align with business objectives. Monitor project progress, identify risks, and implement mitigation strategies. Work with cross-functional teams and ensure effective communication and collaboration. Provide regular updates to the management team. Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure. Communicates and promotes the code of ethics and business conduct. Ensures completion of required company compliance training programs. Is trained - either through formal education or through experience - in software / hardware technologies and development methodologies. Stays current through personal development and professional and industry organizations. Additional Functions Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS. Implement robust security measures to ensure data privacy and comply with regulatory standards. Leverage cloud-native automation tools to streamline data management and reduce manual processes. Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations. Design and implement data integration solutions to automate data flow between systems and databases. Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services. Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors. Provides training and support to the end users of the cloud solutions. Maintain detailed architecture documentation and best practices for the organization's data cloud infrastructure. Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions. Understands cloud FinOps including chargeback and alert monitoring Qualifications 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture. A bachelor's degree or higher in computer science, information systems, or a related field. Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.) Knowledge of data security, encryption, and compliance in cloud environments. Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms) Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc. Experience with data modeling tools. Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar. Strong knowledge and skills in data management, data quality, and data governance. Strong communication, collaboration, and problem-solving skills. Ability to work on multiple projects and prioritize tasks effectively. Ability to work independently and in a team environment. Ability to learn new technologies and tools quickly. The ability to handle stressful situations. Highly developed business acuity and acumen. Strong critical thinking and decision-making skills. Working Conditions & Physical Demands This position requires in-person office presence at least 4x a week.

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

Data scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision‑makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross‑functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work through data collection, feature engineering, algorithm development, analysis, visualization, and communicating results. Collaborate to productionize models and drive experimentation. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of complex data sets: Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. MINIMUM QUALIFICATIONS Bachelor's degree in advanced mathematics, statistics, data science or a comparable field of study. 3+ years of experience designing, building, and evaluating practical machine learning solutions. 2+ years of experience with a programming language for data science or statistics such as Python or R, especially experience with scientific libraries like NumPy and Pandas. Experience with writing complex SQL queries and working with databases. Deep understanding of machine learning concepts and statistical methods. Strong communication skills for both technical and non‑technical audiences. Desire to collaborate with other data scientists, data engineers, analysts, and business partners. PREFERRED QUALIFICATIONS Master's or Doctorate degree in statistics, econometrics, mathematics, computer science, engineering, or a related field. Previous experience in marketing analytics and consumer insights, especially in the subscription services sector. Excellent analytical skills and advanced level statistics knowledge. Familiarity with data exploration and visualization tools such as Tableau or Looker. Experience developing interactive data apps using packages such as R Shiny or Streamlit. Strong expertise with Python and libraries such as scikit-learn and SciPy. Familiarity with data platforms and applications such as Jupyter, Snowflake, GitHub, Databricks, and Airflow. DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS The Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation to search for a job opening or apply for a position, please visit the Disney Candidate Disability Accommodations FAQs. We will only respond to requests that are related to the accessibility of our online application system. #J-18808-Ljbffr

Day to Day: We are looking for a Chargebacks & Rebates Analyst to join one of our large generic pharmaceutical organizations in the Florham Park, NJ, area. We do not need an individual who is a Gross-To-Net Subject Matter Expert, but an individual with chargebacks & rebates experience (preferably someone with iContracts experience). This role will focus on managing and enhancing gross-to-net analytics, reporting, and forecasting. The consultant will work cross-functionally with Finance, Sales, and Commercial teams to ensure deductions and accruals are accurate, well-documented, and timely. Gross-to-Net Accruals & Analysis, including supporting the monthly close process by reviewing, validating, and booking GTN accruals (e.g., chargebacks, rebates, admin fees, returns, and Medicaid). *This position is hybrid, 3 days onsite per week in Florham Park, NJ. Must Haves: -Pharmaceutical experience -5-7 years of Financial Analysis, Chargebacks/Rebates experience -Experience with iContracts, Model N or a similar software (preferred, flexible) -Advanced experience with Excel and comfortable presenting information/data through PowerPoint slides