Data analyst jobs in Valley Stream, NY - 3,016 jobs

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 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

Energy Program Data Analyst (EV Programs) Schedule: Onsite/ Hybrid Hours: 9am - 5pm Pay Range: $34- $40/hr This role involves reviewing applications for eligibility, managing program documentation, analyzing charging data, and preparing incentive payment calculations. The position requires strong analytical skills, attention to detail, and the ability to manage multiple projects while maintaining excellent communication with internal and external stakeholders. Job Responsibilities Serve as a point of contact for program participants and coordinate discovery meetings Review applications for completeness and verify required documentation meets program requirements Confirm eligibility for program offerings and perform programmatic checks per application Upload and maintain accurate documentation in Salesforce Update and progress applications through the system as needed Analyze charging data provided by participants to ensure completeness and accuracy Validate data elements such as session IDs, start/stop times, energy demand (kWh), peak demand (kW), time zone, and charger uptime Perform incentive calculation checks and payment process verification according to program guidelines Prepare reports and communicate findings to stakeholders Assist with program development activities and support operational needs throughout the contract period Job Requirements Strong customer service skills and ability to build relationships with stakeholders Advanced proficiency in Microsoft Excel (including pivot tables, VLOOKUP/XLOOKUP) Strong data analysis and problem-solving skills Ability to manage multiple projects simultaneously with attention to detail Excellent written and verbal communication skills Experience with Salesforce or PowerBI preferred Proficiency in Microsoft PowerPoint preferred Education Associate degree required; Bachelor's degree preferred Work Experience Prior experience in data analysis, program coordination, or related roles preferred 25-32206

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

Role: RCM Analyst Type: Full-Time | Hybrid - Queens, NY Our client, a leading company in the home health care industry, is seeking an RCM Analyst to join their growing team. Home health care is a rapidly expanding sector, focused on delivering high-quality, patient-centered care in the comfort of people's homes. This is a unique opportunity to contribute to a mission-driven organization while gaining exposure to complex revenue cycle operations. About the Role The RCM Analyst will take full ownership of revenue cycle reporting, from design and development to ongoing delivery. This role is responsible for building RCM dashboards and monthly reports from the ground up, partnering closely with Revenue Cycle, Finance, and Operations leadership to provide clear, accurate, and actionable insights across the full revenue lifecycle. This is a highly visible position offering significant ownership and the opportunity to shape how RCM performance is measured and communicated in a fast-paced, high-volume environment. Key Responsibilities RCM Reporting & Analytics Lead the end-to-end development of Revenue Cycle reporting, from requirements gathering to dashboard creation and monthly delivery Design and maintain standardized RCM dashboards and reporting packages using Excel and Power BI Develop metrics and KPIs across the full revenue cycle, including: Authorizations and eligibility Billing timeliness and accuracy Accounts receivable aging Denials and rejections Cash collections and DSO Payer performance and trends Produce monthly RCM reports for senior leadership, ensuring accuracy, consistency, and actionable insights Data Management & Process Improvement Extract, cleanse, and reconcile large, complex data sets from billing, claims, payroll, and operational systems Establish data definitions, reporting logic, and documentation for consistency and scalability Identify data gaps and inefficiencies, partnering with stakeholders to improve processes and data quality Build repeatable, automated reporting while allowing flexibility for ad-hoc analyses Business Partnership & Insight Generation Collaborate with RCM, Finance, and Operations leadership to translate business needs into actionable reporting Analyze trends and variances, identifying risks, opportunities, and root causes within the revenue cycle Support ad-hoc analyses on payer mix, reimbursement changes, operational scale, and performance improvement Advise RCM leadership on evolving reporting as the organization grows Qualifications 2+ years of experience in Revenue Cycle Management reporting Strong understanding of healthcare revenue cycle workflows (billing, claims, AR, denials, collections) Advanced Excel skills (pivot tables, complex formulas, large data sets) Hands-on experience building dashboards and reports in Power BI Experience with high-volume, transaction-heavy data environments Ability to work independently and take ownership of reporting deliverables Why Join Competitive salary and benefits Growth opportunities in a rapidly expanding organization Collaborative, mission-driven culture Make a meaningful impact supporting caregivers and the communities they serve

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.

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

Analyst II Epic Optime/ Anesthesia Duration: Perm Rate: $115k-$135k Shift: Monday-Friday 9am-5pm (1x a week onsite- Wednesdays) Insight Global's client is seeking an Optime/Anesthesia Analyst II to support perioperative services by optimizing Epic Optime and Anesthesia applications. This role involves analyzing workflows, designing system solutions, and collaborating with clinical teams to deliver technology that aligns with organizational goals. Responsibilities include building, testing, deploying, and maintaining applications; managing change requests; troubleshooting technical issues; and providing on-site support during go-lives and upgrades. Must-Haves: Bachelor's degree Epic Optime and/or Epic Anesthesia certifications 2+ years IT implementation/support experience; 1+ year application experience Strong analytical, communication, and relationship-building skills Proficiency in MS Office Preferred: Clinical licensure or project management certification Experience with Capsule Smartlinx, Steris SPM, MS Visio, and collaboration tools 3+ years in a healthcare environment Hybrid work environment with weekly on-site days and on-call rotation. Apply now to make an impact in surgical technology innovation! $115,000 to $135,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Job Title: Analyst, Data Scientist Salary: $70,000-$90,000 Contact: ******************************** is not available for C2C or C2H and the client is unable to sponsor at this time. About the Company We are partnering with a leading organization in the textiles and apparel sector, known for its commitment to innovation, quality, and operational excellence within the retail industry. The company is focused on enhancing business processes and delivering exceptional value to its customers through data-driven decision-making. Role Overview The Analyst, Data Scientist plays a critical role in developing and maintaining reporting tools, including metrics, dashboards, and analytical platforms. This position supports strategic and operational decision-making by applying data analysis to identify insights, maintain process controls, and drive continuous improvement across the organization. Key Responsibilities Manage reporting requests from field operations by defining technical requirements and developing reports, metrics, and dashboards using SQL and Power BI Design and build advanced Power BI dashboards leveraging DAX, Power Query, and other advanced features Perform data cleaning and analysis, translating complex analytical results into clear, actionable insights Collaborate with business stakeholders and IT teams to align on project objectives and deliverables Support strategic initiative planning through prioritization, estimation, and analysis Gather, document, and maintain detailed business and technical requirements Participate in problem-solving sessions with business users and leadership to address analytical challenges Lead change management efforts and deliver training to end users as needed Serve as a liaison between business teams and IT to resolve system issues and improve processes Provide regular project updates and communicate issue resolution status to stakeholders Qualifications Bachelor's degree in Engineering, Mathematics, Computer Science, or a related field 1-2 years of experience developing business or technology solutions Strong proficiency in Power BI, including DAX and Power Query Solid understanding of data warehousing and business intelligence concepts Ability to read and write SQL Familiarity with R, Python, and machine learning concepts (theoretical or practical) is a plus Advanced skills in Microsoft Office tools, including Excel, PowerPoint, Word, Visio, and SharePoint Experience in a corporate retail environment is preferred This role is ideal for a proactive, analytical professional who thrives in a fast-paced environment. The successful candidate will demonstrate strong communication and collaboration skills and the ability to work effectively across cross-functional teams.

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a remote-first company with employees distributed across the US and EU 5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits DataBird journal's “Best Places” Best Companies for Diversity, #1 2019 and 2020 DataBird journal's “Best Places” Best Companies for Women, #4 2019 and #1 2020 Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. About the Role We are seeking a Staff Data Engineer to lead the design, development, and optimization of our data infrastructure and analytics layers, enabling the creation of reliable, scalable, and high-quality data products across the company. This role will report to the Director of Data Engineering and Applications and work closely with both technical teams and non-technical stakeholders across the business. While this is an individual contributor role, it emphasizes mentorship and strategic guidance across both data engineering and analytics engineering functions. The ideal candidate has deep experience building and maintaining modern data platforms using tools such as dbt, Airflow, and Snowflake (or equivalent), and brings strong expertise in data modeling, orchestration, and production-grade data pipelines. They excel at engaging with non-technical stakeholders to understand business needs and are skilled at translating those needs into well-defined metrics, semantic models, and self-serve analytical tools. They are comfortable shaping architectural direction, promoting best practices across the team, and thrive in environments that require cross-functional collaboration, clear communication, and a strong sense of ownership. What You'll Work On: Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent) Champion data quality, documentation, and observability to ensure high trust in data across the organization Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines Your Areas Of Expertise: Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala) Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $136,000 - $180,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: Taskrabbit is a Remote-First Company. We value flexibility and choice but also stay committed to regular in-person connection. The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with! The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. Taskrabbit's commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names. Create a Job Alert Interested in building your career at Taskrabbit? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Are you authorized to work in the United States? * Select... Will you now or in the future require sponsorship for employment status (e.g. H-1B visa status)? * Select... Are you currently located within a 1.5 hour commute to San Francisco or New York City? * Select... Are you willing to work onsite 2 times per week? * Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Taskrabbit's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. 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PBJ Analyst page is loaded## PBJ Analystlocations: Montebello, NY: Howell, NJ: Brooklyn, NYtime type: Full timeposted on: Posted 5 Days Agojob requisition id: J10515# **Job Purpose**Long-term care (LTC) facilities must electronically submit to CMS (Center for Medicare/Medicaid Services) through the PBJ (Payroll Based Journal) system complete and accurate direct care staffing information, including information for agency and contract staff, based on payroll and other data in a uniform format, according to specifications established by CMS. The primary purpose of this position is to provide accurate analytical insights and guidance for SNF facilities and Operators to help them achieve their desired star rating.# ****Duties & Responsibilities******Duties and responsibilities*** Analyze and understand SNF time clock data and how it affects CMS PBJ requirements.* Present analytical findings to clients for them to make better staffing decisions.* Responsible to complete monthly analytical PBJ reviews in a timely fashion with assigned facilities.* Providing regular Operator updates and communication.* Respond to questions related to PBJ submission process.* Assist with ensuring all data and input sheets submitted by facilities are processed accurately and timely.* Running reports periodically to ensure all data and input have been accurately captured.* Monthly and quarterly confirmations from both facilities and Operators.* Due to nature of PBJ submission process and reporting deadlines, occasional evening and weekend availability may be required.**Qualifications**Ideal candidate will be an individual who possesses the following qualifications:* 2-3 years office work experience.* Comfortable using Microsoft Suite programs (Outlook, Teams, Word)* Excel skills - proficiency in Pivot Tables, basic formula knowledge (i.e. VLOOKUP, XLOOKUP)* Strong analytical and critical thinking skills.* Strong organizational and time management skills.* Excellent verbal and written communication skills.* Ability to work independently as well as part of a team.* Ability to thrive in a fast-paced environment, including excellent problem-solvingability.* Open to learning new skills.* Basic SQL knowledge a plus.Compensation: $60,000-$75,000 depending on experience##### Explore a rewarding career at AGS #J-18808-Ljbffr

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

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

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

(Hybrid with 2 remote days after 90 days from hire date) JOB SUMMARY: The candidate will hold a dual role within Medisys. They will equally split their support/build assignments between the Willow application, and another EPIC application (preferably ASAP or EpicCare Ambulatory). The candidate will be responsible for the maintenance and support of both applications to ensure compliance with Medisys guiding principles. Should have EPIC experience within two different EPIC Build applications (Workflows, Integration/Interfacing), Testing, & Implementation. Proactively engages present and future stakeholders in design, priority setting, implementation, and support and maintenance activities. Works in collaboration with teams, individuals and peers with positive attitude of accomplishment. Must be able to ensure that issues are identified, tracked, reported on, resolved and/or escalated in a timely manner. JOB REQUIREMENTS: Must have at least 3 years of Analyst Experience with Epic. Analyst needs to be proficient at self-learning. Outstanding communication, collaboration and facilitation skills are required. Willow Inpatient Certification including current NVTs for 2020. Epic ASAP or Ambulatory Proficiency/Certification (or another EPIC application Proficiency/Certification) Knowledge of Willow medication charge build experience highly desired. Pharmacy experience desired. Reporting build highly desired. Testing experience desired. Clinical background & experience a Plus. Decision Support Experience a Plus. Integration/Data Mapping Experience a Plus. Education: Bachelor's Degree and in depth knowledge of clinical theory and practice.

Apply Now Apply Later Job ID 10128634 Location Santa Monica, California, United States / New York, New York, United States Business Disney Direct to Consumer Date posted Nov. 20, 2025 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 Machine Learning & Modeling 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. Experimentation & Deployment 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, Python (e.g., Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark. Preferred Qualifications M.S. or Ph.D. in a quantitative discipline. 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. #DINSEYANALYTICS #DISNEYTECH 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. 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

A major media and entertainment company seeks a data scientist to design and improve machine learning models that analyze subscriber behavior. The role includes deep analysis of data and collaboration with business stakeholders to drive growth and retention. Applicants should possess a Bachelor's degree in mathematics or statistics and 3+ years of machine learning experience, including proficiency in Python and SQL. This position is located in California, USA and offers opportunities to contribute vital insights to major entertainment platforms. #J-18808-Ljbffr