Data analyst jobs in West Hempstead, NY - 3,389 jobs

Company: Trove Trove is seeking a Head of Data & Research to build and lead a proprietary research, analytics, and intelligence function that positions Trove as the most informed real estate team in the industry and a trusted data resource for ultra-high-net-worth clients, developers, and real estate leaders. This is a senior, highly visible role combining market research, predictive analytics, AI-driven insights, and client-facing thought leadership. The Head of Data & Research will directly influence pricing strategy, client outreach, content, and long-term product vision. Key Responsibilities: Market & Client Intelligence Produce proprietary research for current and potential clients active in NYC real estate Track off-market sales, neighborhood value trends, construction costs, and market shifts Develop predictive analytics for pricing, value, and market timing Monitor wealth creation events and share actionable insights with the team Pricing & Team Support Lead pricing and comparative analyses for listings with fast turnaround Create repeatable pricing and price-reduction frameworks Support listing pitches with data, attend seller meetings, and present market insights Keep agents consistently armed with up-to-date market data Market, Building & Asset Reports Produce neighborhood, building, and segment-level reports on a recurring cadence Partner with marketing to ensure high-quality data visualization and presentation Developer Support Provide developers, lenders, and partners with recurring data on land values, sales, pipelines, and construction costs Support active development clients with pricing, unit mix analysis, velocity tracking, and competitive studies Thought Leadership & Content Elevate Trove Trends into a leading industry data newsletter Contribute to newsletters, reports, and media positioning Trove as a real estate data source Identify opportunities for data-driven content Data Visualization & Product Vision Improve how data is displayed across reports, presentations, and digital channels Contribute to Trove's proprietary app Qualifications 8+ years of experience in data analytics, research, real estate, finance, or related fields Deep knowledge of NYC real estate markets Strong experience with analytics, modeling, and AI-driven tools Ability to translate complex data into clear, compelling insights Comfortable in client-facing, presentation-heavy environments Strategic, entrepreneurial mindset with strong execution skills Why Trove? This role sits at the intersection of data, brokerage strategy, client influence, and thought leadership. The Head of Data & Research will shape how Trove competes, communicates, and grows-internally and externally. Who is Trove? Client-Centricity. Global Connectivity. Precision Execution. Trove is a premier real estate concierge born in New York and built for a global clientele. We bridge the gap between high-end real estate and a curated lifestyle, operating as a single source for clients who demand excellence without compromise. The Trove Difference: Tailored Strategy: We create bespoke plans for every listing, handling everything from market analysis to the creative assets needed for a high-impact launch. Global Reach, Local Expertise: Our team possesses the deep-rooted knowledge of the New York luxury market, supported by an expansive global network that makes the world feel both big and intimate. The Concierge Model: We manage the complexities of the real estate process so our clients don't have to, ensuring a seamless transition from "wild imagination" to "wild reality." With 10+ years of experience in the luxury sector, we invite you to discover a more connected approach to property. Trove Partners is an equal opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. All employment decisions are based solely on qualifications, merit, and business needs. We provide reasonable accommodations and prohibit retaliation against any employee or applicant for exercising their rights.

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

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

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands‑on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative‑building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross‑validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.) Support long‑term MMM (et al.) automation, productionalization and scale with support from data engineering and product Build out front‑end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measuring marketing efficiency and optimizing spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with BI/data concepts and experience building out self‑service marketing data solutions Strong coding experience in one or more data programming languages like Python/R Ability to draw insights and conclusions from data to inform model development and business decisions Experience in SQL Preferred Qualifications Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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

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

The Role Nerd Apply is building the data layer for education. Trust is foundational to that mission. As the Data Privacy Lead, you will own privacy, security, and compliance at Nerd Apply. You'll be the primary face of our security posture to customers, partners, and internal teams, ensuring that student data is protected with rigor, transparency, and care. This role is responsible for developing and leading a cost-effective but robust privacy and security program, maintaining compliance, earning key certifications, and helping Nerd Apply set a high bar for data stewardship across education. Mission Ensure that Nerd Apply maintains the highest standards of data privacy and security, earning the trust of counselors, schools, and institutions while enabling the company to scale responsibly. Salary + Benefits $90k - $110k + Equity Healthcare Location NYC Office at Bryant Park (12 In-Person Employees) What You'll Do Own privacy and security strategy Develop and maintain Nerd Apply's privacy and security roadmap Lead compliance efforts and certification processes (SOC 2, CCPA, and others as appropriate) Ensure security practices scale alongside product and company growth Be the primary point of contact for trust and risk Serve as the go-to resource for customer questions related to privacy, security, and infrastructure Support sales conversations with school and district security stakeholders Represent Nerd Apply in relevant security conversations, groups, and conferences Partner across teams and vendors Coordinate with outsourced legal counsel and security firms, setting clear objectives and deliverables Keep Leadership, Sales, Marketing, and PR aligned on current security practices and messaging Collaborate closely with product and engineering to assess risk and guide implementation Support customers directly when needed Understand the full data flow across all systems customers interact with Advise on data migration, integration, and best practices Step in to assist with manual data entry or remediation when necessary to unblock customers Build durable documentation Create and maintain internal and customer-facing security and compliance documentation Ensure materials are clear, current, and usable across teams Who You Are Prior experience as an IT Director or senior IT leader at a high school or similar educational institution Deep familiarity with student data privacy, security requirements, and institutional risk concerns Comfortable explaining complex technical and legal topics to non-technical audiences Credible, steady, and trusted in environments involving sensitive data How You Work You're organized and reliable, with clear systems for managing priorities and risk You learn quickly and stay current on privacy, security, and compliance best practices You look for practical ways to reduce risk and improve processes over time You bring a calm, credible presence to sensitive conversations What Success Looks Like Customers express confidence in Nerd Apply's privacy and security practices Compliance and certification efforts are proactive and well-managed Internal teams communicate security posture clearly and consistently External legal and security partners operate efficiently with minimal friction Nerd Apply is recognized as a thoughtful, trustworthy steward of student data About Nerd Apply Nerd Apply is building the data layer for education. Counselors guide some of the most important decisions students and families make, yet they've historically lacked access to clear, reliable outcomes data. Nerd Apply partners with counselors to responsibly aggregate real admissions results and turn them into usable insight. This shared data helps counselors advise with greater confidence, helps schools and districts understand what's actually working, and creates a foundation for better decisions across the education system. We're building Nerd Apply with a high bar for trust, respect for professional judgment, and the ambition to create infrastructure education can rely on for decades.

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

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

Reports to: VP Consolidations & Finance Systems Job Type: Full-Time As a Finance Consolidations Senior Analyst at QXO, you'll initially play a key role in the implementation, testing, validation, reconciliation and maintenance around all data flows originating in our new Oracle subledgers through to our EPM system. As systems go live the key focus will migrate to managing metadata / chart of accounts and trial balance / transactional data and hierarchies in our EPM system including Oracle FCCS / EDMCS / EPBCS. The role will develop into a full fledged consolidation and reporting role that will produce consolidated reporting to our external reporting, tax and FP&A teams. As such, the role requires a solid accounting background coupled with a strong desire to produce meaningful reporting through cutting edge data management. This is not a pure play systems configuration role and the candidate likely started their career in accounting. What you'll do: Initially this role will focus on everything around system implementation (data perspective including metadata and transactional data) but will quickly migrate to managing reporting out of the EPM space in support of key stakeholders including external reporting, FP&A, tax etc. Serve as a key member of the finance / accounting team with primary focus in our EPM Reporting space but will also play a key role in assisting with the implementation of Oracle Fusion subledgers along with the validation and testing of key data flow across Oracle Cloud. Execute extensive User Acceptance Testing (UAT) by assisting with test plan design, writing structured test scripts, validating accounting data flows, identifying defects, and partnering with the implementation team to ensure accurate and compliant data flows. Assist with metadata management within EDMCS, including coordinating metadata changes, maintaining hierarchies, and overseeing mapping governance to ensure consistency across Fusion, FCCS, reporting, and downstream analytics. Support finance EPM stakeholders with reporting solutions, metadata requests, mapping updates, and issue resolution related to close, consolidation, and financial data integrity. Own and execute SOX controls relating to all of the above duties. Troubleshoot and resolve financial systems issues, data breaks, and reporting discrepancies across Fusion, Data Management, FCCS, and related financial tools-partnering with IT on root-cause analysis and long-term fixes. Will eventually manage intercompany accounting, investment eliminations, assist with tax reorganization accounting etc. What you'll bring and who you are: Above all you are an accountant or have a solid accounting background who has over time migrated to and has a very strong interest in squeezing the most value out of accounting data in an EPM environment (reporting). In this regard, you likely have started your career in the big 4 or a mid tier accounting firm and have a very strong interest in managing accounting data and systems to produce world class reporting. You are really good at making sense of and reconciling massive blocks of transactional and trial balance data and how that maps from our ERP system through to our EPM system. As such you have very strong skills in excel using all types of look up formulas. Your strong suit in the accounting area is consolidation accounting and you understand the basics around business combination accounting, intercompany accounting, investment eliminations, assisting with tax reorganization entries etc. This is not a role for a “systems only” individual and this role does not engage in system configuration. We have an IT team who will be managing that aspect of both ERP and EPM. Background in working in ERP systems as an accountant will be helpful as well as EPM financial systems (EDMCS / FCCS/EPBCS), finance data management including chart of accounts , metadata management is a big plus. Hands-on experience in the Oracle EPM area particularly around establishing financial data flows (particularly between EDMCS and all Oracle Systems for metadata and then between Oracle Fusion, Data Manager and FCCS), and validating and reconciling these data flows. Prior experience executing UAT plans that test data integrity across end-to-end accounting flows-ideally across modules such as AP, AR, Inventory, Costing, FA, Projects, and Order Management. Strong technical aptitude in data management, process automation, and identifying efficiencies across financial systems and operational workflows. A collaborative, problem-solving mindset with the ability to partner effectively with finance stakeholders, IT, and cross-functional project teams. What you'll earn: 401(k) with employer match Medical, dental, and vision insurance PTO, company holidays, and parental leave Paid training and certifications Legal assistance and identity protection Pet insurance Employee assistance program (EAP) About the company QXO is the largest publicly traded distributor of roofing, waterproofing, and complementary building products in the United States. The company aims to become the tech-enabled leader in the $800 billion building products distribution industry and generate outsized value for shareholders. QXO is targeting $50 billion in annual revenues within the next decade through accretive acquisitions and organic growth. QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status. To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.

Our client, a private real estate investment firm, is seeking a highly motivated and qualified candidate to join its real estate team with a focus on asset management. The firm has a successful and long-standing track record, specializing in core-plus real estate investments strategically located in attractive markets across the United States. Our client has $11.4 billion of assets under management as of June 30, 2025, with the largest component being United States real estate. Since its inception in 1996, their global real estate investments have totaled approximately $28 billion across over 1,500 properties. In 2025, the firm's real estate team placed at number 42 on the PERE 100 list, one of the most prominent rankings of real estate equity investment managers in the industry. Position Overview: The successful hire will be based out of the New York office and interface with internal asset managers, operating partners, management companies, banks, lenders, and the internal accounting team; executing both real estate analysis and reporting. Analysts are expected to assume integral roles on deal teams and are intimately involved with the leasing and dispositions of investments and regularly attend client calls, internal meetings, and site visits. Main responsibilities to include: Asset Management: Model projected performance of assets/portfolios (heavy use of Microsoft Excel and Argus Software). Evaluate new lease proposals in coordination with asset managers. Assist with annual budgeting process in coordination with operating partners/management companies. Prepare disposition models and draft memos for individual assets and full portfolio liquidation strategies. Participate in weekly leasing calls with property managers and operating partners. Perform market analyses for target markets and asset types. Coordinate onboarding process of new operating partners and assets. Regularly attend client calls, internal meetings, and site visits. Review lender reporting packages and covenant calculations. Coordinate funding requests with lenders and operators. Assist in the preparation of year-end asset review reports and forward-looking business plans. Leverage AI-enabled tools and prompt frameworks to enhance financial analysis, portfolio reporting, and asset-level insights, improving efficiency and decision-making across the investment lifecycle. Other duties may be assigned. Reporting /Oversight: Review monthly financial reports with operating partners and property management companies. Prepare internal performance reports. Assist in the preparation of semi-annual investor reporting and asset valuations. Other duties may be assigned. Required Skills: Bachelor's degree required in finance, accounting, economics; emphasis in real estate preferred Candidates must have a minimum of 1 year of related real estate experience. Strong interpersonal/communication skills; ability to develop and ask questions Well-developed written and oral communication skills A strong sense of drive and ambition with potential to grow into roles of greater responsibility Ability to work well with internal and external partners and clients Desired Skills: Ability to use financial and valuation software including Argus Strong sense of accountability Strong work ethic and sense of initiative Strong ability to multi-task

MFA is currently searching for a Financial Analyst to work in the Asset Management Department in our New York office. The primary function of this position is to provide analytical support to asset managers who oversee commercial properties in New York and Washington, DC. The position will report to the Director, Asset Management. Responsibilities Financial Modeling: Prepare and maintain property cash flow models in Argus Enterprise to support budgeting, valuation and investment decision making. Prepare and maintain investment models in Excel to calculate investment returns and cash flow waterfalls. Budgeting: Participate in the annual budgeting process. Review materials prepared by operating partners and property managers. Prepare summary schedules. Help prepare asset management plans for presentation to senior management. Leasing: Gather and analyze market data to understand each property's position in the market. Support asset managers to ensure properties are competitively priced relative to their competitive set. Prepare net effective rent calculations to evaluate leasing proposals. Valuation: Gather and organize materials used to support property valuations. Interface with third-party appraisers and brokers, respond to questions. Lender Reporting: Assist with requests related to lender reporting, such as preparing cash flow projections to ensure compliance with DSCR and LTV covenants. Argus Administration: Manage Argus user access, organize property models and scenarios; oversee annual software renewals. Tax Certiorari: Gather information for tax certiorari attorneys to assist with real estate tax appeals. Property Inspections and market tours: Periodically accompany asset managers on site visits to develop relationships with the property management & leasing teams, evaluate the condition of the property, housekeeping and grounds and tour competitive assets. Dispositions: Assist asset managers with dispositions. Gather and organize property information; help prepare materials for pitchbooks and deal rooms; help evaluate purchase offers. Attend industry events to learn about innovative technologies, market trends, etc. Process Improvement: Identify areas for improvement in processes that involve data collection, manipulation, report automation and analysis across various asset management platforms (NavigatorCRE, Prophia, Chatham Debt Manager, and emerging AI tools). Qualifications One to three years' experience working for a commercial real estate company, institutional real estate investor or financial institution, focused on commercial real estate. Ability to read and understand key real estate agreements, including leases, management and leasing agreements, and partnership agreements. Strong analytical skills. The ability to gather, organize and clearly summarize information. Bachelor's degree in real estate, business administration, finance, accounting, economics from an accredited institution. Experience with multi-tenant office buildings. Strong proficiency with Microsoft Excel and Argus Enterprise. Familiarity with data visualization tools including Power BI and Tableau. Ability to communicate clearly and concisely both orally and in writing. Independent and self-motivated, but able to function well in a collaborative, collegial environment. Well organized with attention to detail. Solid employment references. Willingness and ability to travel, as necessary.

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. 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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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Our client is seeking a Senior Data Analyst to join their team! This position is located in Stamford, Connecticut. Create, run, and automate SQL queries to analyze customer interaction data across chat, IVR, and call channels Develop dashboards and reports in tools such as Power BI, Tableau, and MicroStrategy to track performance trends and anomalies Monitor initiative performance against baseline metrics, including 30-, 60-, and 90-day success measurements Identify drop-offs, escalations, and friction points in customer journeys and recommend data-driven improvements Perform data validation to ensure accuracy, consistency, and reliability of reporting Analyze chat interactions and chatbot performance to support call deflection and improved customer self-service Optimize chatbot and conversational IVR flows using data insights Track and report on overall and initiative-level success rates for conversational experiences Integrate structured and unstructured data sources to support self-service analytics Desired Skills/Experience: 3+ years of experience in data science, analytics, business intelligence, or a related field Strong proficiency in SQL and Python for Data Analysis Experience with Power BI, Tableau, or similar BI tools Ability to analyze trends, identify anomalies, and uncover root causes Strong problem-solving skills and ability to work independently Experience collaborating with BI teams and working with relational databases Excellent communication skills with the ability to present insights clearly to non-technical and executive audiences Experience with Python and machine learning frameworks Familiarity with chatbot technology, conversational AI, and customer journey analytics Experience with API integrations and GraphQL Exposure to cloud-based data environments such as: AWS, GCP, Azure Project management experience, including tracking initiatives and milestones Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $44.00 and $56.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Sr. Integration Data Analyst Number of Positions: 2 Length: Contract till end of 2026 (possible extensions) Must Haves: 7+ years within data analytics Strong experience using SQL for analysis & data extraction Expert- level experience using Tableau to create executive level dashboards Ability to create reports & present at the leadership & executive level Ability to tell the "data story": understand, interpret, and break down the data / root cause/ trends Good communication & personality Plusses: Prior experience with merger/ acquisition data reporting is preferred Telecommunications experience is preferred Day-to-Day: Insight Global is hiring for a Sr. Integration Data Analyst to sit onsite in Stamford, CT for a large, telecommunication company. This Sr. Integration Data Analyst will working on integration data reporting between two telecom companies that are going through a merger/acquisition. This analyst will be analyzing key performance metrics from both companies involved and able to provide recommendations on adjustments needed to integration data. This analyst will be creating complex Tableau dashboards with user interface that will be displayed at the executive level. This person needs to have strong/ advanced skill within Tableau, SQL, and data requirement development (identifying, defining, documenting, validation data needed to achieve business goals). On a day- to-day basis, this analyst will be spending 50% of their time within the merger/acquisition data analysis and the other 50% creating executive level dashboards supporting the integration reporting of various elements of the data.

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

Work Schedule Shift: Night shifts between 6:00 PM - 6:00 AM Includes: Weekend and holiday shifts Hours: 35 hours per week (excluding mandatory unpaid meal break after 6 hours) Pay Rate $50 to $55 per hour Job Justification The Senior Threat Analyst role is a critical part of NYC Cyber Command's effort to defend the city's infrastructure and sensitive data against escalating cybersecurity threats. This position ensures ongoing threat detection, analysis, and incident response to minimize risks, prevent breaches, and maintain public safety. Without this position, NYC is at increased risk of cyberattacks that could disrupt critical services. Scope of Services & Key Responsibilities Monitor and analyze City networks for intrusions, anomalies, and potential threats. Provide 24x7x365 support as part of the Security Operations Center (SOC) team. Coordinate incident response and threat mitigation with internal teams and external partners. Generate and maintain SOC situation reports (SITREPs), metrics, and routine documentation. Perform weekly quality control and security assessments. Collaborate on the development and refinement of SOC playbooks and runbooks. Act as a senior team member providing guidance and leadership to junior analysts. Mandatory Skills/Experience 8+ years of experience in Threat Management, SOC, or Incident Response. Proven leadership skills-able to guide junior analysts and manage SOC operations. Hands-on experience with SOC environments and tools including: SIEM (e.g., Splunk, IBM QRadar) IDS/IPS systems EDR tools (e.g., CrowdStrike, Carbon Black) Strong knowledge of cybersecurity frameworks and best practices. Deep understanding of network protocols and host-level security. Experience with: Threat hunting and proactive detection Malware analysis and mitigation Diagnostic tools like NetFlow, IDS logs, security event logs Ability to apply principles of confidentiality, integrity, and availability. Excellent verbal and written communication, especially for executive reporting. Experience in full incident response lifecycle: detection, containment, mitigation, and recovery. Special Requirements Must be available for night shifts, weekends, and emergency/critical coverage as needed. Position requires onsite presence at SOC headquarters. Compensation $50.00 - $55.00 per hour #J-18808-Ljbffr

We are seeking a highly motivated, intellectually curious, and highly skilled data analyst to join our Stamford, CT team as an Execution Analyst. This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance. In this role, you will contribute to monitoring, evaluating, and optimizing client performance and learn to produce meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large. You will work closely with senior analysts and product specialists and grow with their support into a client-facing, high-impact contributor in electronic trading and execution consulting. Specifically Specifically, you will: Gain deep knowledge of US equity market structure and electronic trading behavior Learn to evaluate algorithm performance across clients and strategies Build fluency in statistical methods and coding practices for performance analysis Develop communication and presentation skills for internal and client-facing interactions Take on increasing ownership of monitoring, analysis, and strategic recommendation processes Grow into a role that directly influences client outcomes and firm-wide algorithmic execution strategy Responsibilities Analyze client order data and market data to answer challenging, open-ended research questions Assist in the collection and monitoring of algorithm performance data across individual clients and global portfolios Help document client objectives and implement custom measurement processes toward each client's evolving goals Support the evaluation of algorithmic behavior through statistical analysis and data visualization Collaborate with senior analysts to generate insights for internal teams and client reporting Contribute to building client presentations that communicate key findings and areas for improvement Stay abreast of current events, changes in the liquidity landscape, and team research to participate in team discussions around market events, microstructure developments, and algorithm design Qualifications MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline 2 years of experience in answering research questions supported by statistical evidence-going beyond reporting results to generating meaningful insights (this can be in a graduate program) Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) Strong analytical thinking and a demonstrated interest in solving complex problems Excellent written and verbal communication skills High attention to detail and a structured approach to tasks Eagerness to learn about financial markets, electronic trading, and data-driven decision-making Positive, collaborative attitude, a strong sense of ownership and curiosity, and consistent drive to go above and beyond to deliver on shared goals Willing to work in Stamford, CT in person daily and, over time, travel to client meetings as needed #J-18808-Ljbffr

⭐ - 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

An international media company is seeking an econometrician for their marketing science team to run marketing mix models and analyses. The role requires strong quantitative skills, a Bachelor's degree in a related field, and at least 3 years of experience in marketing analytics. Responsibilities include building econometric models, quantifying ROI, and providing insights to marketing teams. The position offers competitive compensation, including bonuses and benefits, in the Seattle area. #J-18808-Ljbffr