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accounts payable specialist

data scientist

ops data analyst

data analytics specialist

Resonance

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory.
 <br/>
 <br/>
 With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands&mdash;including THE KIT and Rebecca Minkoff&mdash;to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You&rsquo;ll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack.
 <br/>
 <br/>
 In this role, you&rsquo;ll develop and maintain robust ELT pipelines, transforming data from diverse sources&mdash;including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms&mdash;into structured, accessible datasets within Snowflake. Additionally, you&rsquo;ll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses.
  </li>
  <li>
   Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making.
  </li>
  <li>
   Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users.
  </li>
  <li>
   Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions.
  </li>
  <li>
   Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance.
  </li>
  <li>
   Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness.
  </li>
  <li>
   Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of relevant experience in data engineering, analytics engineering, or a related field.
  </li>
  <li>
   Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices.
  </li>
  <li>
   Hands-on experience with Snowflake or similar cloud data warehousing platforms.
  </li>
  <li>
   Proficiency with SQL and database modeling techniques for analytics.
  </li>
  <li>
   Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered).
  </li>
  <li>
   Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms.
  </li>
  <li>
   Strong analytical mindset, problem-solving capabilities, and attention to detail.
  </li>
  <li>
   Excellent collaboration and communication skills in remote, cross- functional environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous startup or rapid-growth environment experience.
  </li>
  <li>
   Advanced knowledge of Snowflake performance optimization and cost management.
  </li>
  <li>
   Experience with Looker, LookML, and creating intuitive, interactive analytics products.
  </li>
  <li>
   Familiarity with Python scripting for data pipelines and automation.
  </li>
  <li>
   Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility.
 <br/>
 <br/>
 Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.
</div>


Data and Analytics Engineer

MadHive

<div><p>Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive&rsquo;s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media.</p><p>
About the Role: Madhive is looking for a Data Analyst to join our Go-To-Market Strategy team. In this role, you will act as the analytical engine for our internal stakeholders, supporting the Sales, Finance, and Client Services leadership teams. You won&rsquo;t just pull data; you will help build the dashboards, models, and reporting infrastructure that drive our executive decision-making.</p><p>
We need someone who is technically proficient in SQL and BI tools, but also business-savvy enough to understand how a fluctuation in CPMs or fill rates impacts the bottom line. You will translate complex datasets into clear, actionable executive reports.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li><p>
Executive Reporting &amp; BI: Design, build, and maintain high-impact Looker dashboards that track company KPIs, revenue pacing, and sales pipeline health for internal leadership.</p></li><li><p>
Ad Hoc Analysis: Serve as the first line of defense for internal data requests, investigating revenue trends, discrepancies, and performance metrics to support Finance and RevOps.</p></li><li><p>
Data Integrity &amp; Process: Collaborate with Revenue Operations to ensure Salesforce and platform data is accurate, clean, and structured properly for downstream analysis.</p></li><li><p>
Operational Insights: proactive identify bottlenecks in the sales cycle or client lifecycle through data analysis and recommend process improvements.</p></li><li><p>
Cross-Functional Collaboration: Partner with Product and Engineering to understand new data points and ensure they are accessible for business reporting.</p></li></ul><p></p><p><b>
Who You Are:</b></p><ul><li><p>
The Analyst&rsquo;s Analyst: You love structure. You enjoy taking messy data and turning it into a clean, automated report.</p></li><li><p>
A Translator: You can explain complex data concepts to non-technical internal stakeholders clearly and concisely.</p></li><li><p>
Detail-Oriented: You spot the decimal or formatting error before anyone else does. You take pride in the accuracy and presentation of your data.</p></li><li><p>
Collaborative: You work well with internal teams; you are capable of gathering requirements from department heads and delivering timely results.</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s degree in a quantitative field (Economics, Finance, Stats, CS, etc.).</p></li><li><p>
3&ndash;6 years of experience in data analytics, business intelligence, or revenue analytics.</p></li><li><p>
Experience with BI tools (Looker, Tableau) for creating external-facing views.</p></li><li><p>
Strong SQL proficiency is required. Experience with Python/R is a plus.</p></li><li><p>
Superb analytical thinking and problem-solving skills.</p></li><li><p>
Clear communicator with the ability to explain findings to non-technical audiences.</p></li><li><p>
Experience in AdTech, media, or programmatic advertising is highly preferred.</p></li></ul><p></p><p>
The approximate compensation range for this position is $75k-$89k The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors, including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.</p><p></p><p><b>
We are Madhive</b></p><p>
Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace our differences and believe they fuel our creativity. We come from varied backgrounds and think that&rsquo;s important. Whether it&rsquo;s taking ideas from previous lives and applying them in different ways or creating something completely new, we are all trail-blazing team players who think big and want to make an impact.</p><p>
We are committed to cultivating a culture of inclusion and collaboration. We welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.</p><p><b>
Please be advised that we will NOT be using third-party recruiting agencies for this search.</b></p></div>

Data Analyst, Revenue Analytics

Child Mind Institute

<div><p><b>About Child Mind Institute</b></p><p>
We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.</p><p></p><p><b><br>
Position Details:</b></p><p>
As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager. You will will design and conduct advanced data analyses and develop machine learning models for use in mental health research. You will perform analyses on large datasets, collected using a range of multi-modal methods, including cognitive assessments (both paper-and-pencil and digitized formats), surveys, and other multimodal biometric modalities. You will be chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of both existing data collection and assessment tools in the mental health space, as well as downstream analytic models that seek to apply these measurements..</p><p></p><p><br>
This is an exempt, full-time, hybrid this position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.</p><p></p><p><b><br>
You Will:</b></p><ul><li><p>
Design and implement analytical workflows including data preprocessing, featureengineering, model development, scientific analyses, data visualization, andvalidation.</p></li><li><p>
Contribute to effective, scalable, well-documented code that is suitable for highperformance computing ecosystems and shared to GitHub, or equivalent,repositories for version control.</p></li><li><p>
Perform organization, aggregation, pre-processing, and analysis of large datasetsusing high-performance computing infrastructures.</p></li><li><p>
Apply both pre-trained and custom-made machine learning models and datamanipulation pipelines to research and clinical contexts, ensuring the responsiblehandling of sensitive data.</p></li><li><p>
Write documentation and text for scientific or public dissemination of knowledge andattend and present at meetings.</p></li><li><p>
Assist with the definition of project and collaboration objectives, tasks, anddeliverables at the outset of new efforts, and support ongoing monitoring ofprogress and alignment.</p></li><li><p>
Perform additional job-related duties as assigned</p></li></ul><p></p><p><b><br>
You Have:</b></p><ul><li><p>
Bachelor's in Neuroscience, Psychology, Engineering, Computer Science orequivalent combination of education and experience.</p></li><li><p>
5+ years of experience in data analysis and data science fundamentals (e.g.,algorithms, data structures, data visualization, machine learning), preferably in aclinical or research setting.</p></li><li><p>
5+ years of experience including education in at least one scientific programminglanguage (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g.,Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.</p></li><li><p>
3+ years of experience including education working in a Linux environment, usingversion control systems (e.g., GitHub), and software virtualization platforms (e.g.,Docker).</p></li><li><p>
3+ years of practical experience designing and developing ML and NLPtechnologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy,HuggingFace, NLTK.)</p></li></ul><p></p><p><br>
#LI-remote, #LI-on-site, #LI-hybrid.</p><p></p><p><b><br>
Our Benefits</b></p><div></div><div><p><br>
Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.</p></div><p></p><p><b><br>
Pay Range</b></p><p>
The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.</p><p></p><p><b><br>
EEO Disclaimer</b></p><p>
Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.</p><p></p><p><br>
We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.</p><p></p><p><br>
In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).</p><p></p><p><br>
Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org</p><p></p><p><br>
This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.</p></div>

Applied Data Science Specialist

Century Group

<div>
 Century Group is partnering with a client that is seeking a Data Analyst to assist their team. Exact compensation may vary based on skills, experience, and location. Expected starting pay rate of $28.00 to $30.00 per hour.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze data dictionaries and source files from vendors and confirm alignment with project needs and definitions.
  </li>
  <li>
   Partner with development teams to clarify data requirements and propose practical solutions that support delivery.
  </li>
  <li>
   Review technical specifications compare them with current SQL Server designs and validate load results for accuracy.
  </li>
  <li>
   Write and run queries to access analyze and profile data structures within SQL Server environments.
  </li>
  <li>
   Document findings assumptions and validation steps to support clear communication and repeatable processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bring proven experience in a data analyst role or a similar analytical position.
  </li>
  <li>
   Use SQL Server at an advanced level with strong query writing and troubleshooting skills.
  </li>
  <li>
   Work confidently in Excel and related analysis tools to clean review and present data.
  </li>
  <li>
   Maintain strong attention to detail and produce accurate results with consistent quality.
  </li>
  <li>
   Write clear technical documentation and communicate effectively while organizing tasks and priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate well in team settings while being able to work independently with minimal direction.
  </li>
  <li>
   Understand data warehousing ideas and ETL concepts and apply them when reviewing loads and transformations.
  </li>
  <li>
   Bring experience in financial services or similar industries viewed as beneficial.
  </li>
  <li>
   A Bachelor degree preferred with relevant experience considered as an alternative.
  </li>
  <li>
   Demonstrate curiosity problem solving ability and a structured approach to validating complex data.
   <br/>
   <br/>
  </li>
 </ul>
 REF#51903
 <br/>
 <br/>
 #Ind-LA-OC
</div>


Data Analyst

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>IT Security Specialist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Life-Safety Systems Div/Civ</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $170,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair city through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
<br>
The Life-Safety Systems Division is responsible for enhancing and preserving the continuity and support of PSAC (Public Safety Answering Center) E-911 Systems including the Citywide Public Safety Communications Radio Infrastructure. This includes managing and supporting the IT systems for the Communications Section (911) and law enforcement personnel in the field.<br>
<br>
The selected candidate will perform the duties, which include, but are not limited to:<br>
<ul><li>Manage and oversee the implementation of NYPD NENA compliant NG911 logging and recording system.</li><li>Manage the configuration and deployment/integration of the ESINET SIP, i3 NGCHS, and GIS network, logging and recording.</li><li>Review/approve NENA compliant NG911 logging recording test cases and identify any risks associated with the integration of such.</li><li>Participate in NG911 ESINET SIP, i NGCHS and GIS breakout session meetings to define overall system meets NENA standards.</li><li>Manage and test CAD integration, audio analytics, screen capture, text to 911, RTT and video for logging and recording.</li><li>Participate in requirements gathering, detailed design, COHAB, FAT, SIT, UAT, NLST testing and knowledge transfer activities as needed.</li><li>Evaluate existing infrastructure and propose enhancements to improve call routing, data transmission and network reliability.</li><li>Monitor network performance including voice and data traffic; quickly identify and resolve issues related to call drops, latency or system failures and conduct regular tests to verify system functionality.</li><li>Optimize call routing algorithms to ensure that emergency calls reach the appropriate dispatch center efficiently and implement failover mechanisms to handle network disruptions.</li><li>Work with radio communication technologies used by emergency responders (police, fire, medical) and ensure seamless communication between field units and dispatch centers.</li><li>Integrate Geographic Information Systems (GIS) data into emergency communication systems, use location-based information to route calls accurately and provide responders with real-time data.</li><li>Regularly audit call recordings and system logs to maintain quality standards and ensure compliance with legal and regulatory requirements related to emergency communication.</li></ul><br>
WORK LOCATION:<br>
1 Police Plaza, New York, NY 10038<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #772053<br>
<br>
ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
<br>
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #772053<br>
<br>
IT SECURITY SPECIALIST - 95622</div><p><b><br>
Minimum Qualifications</b></p><p><br>
A baccalaureate degree from an accredited college and four years of satisfactory full-time experience related to projects and policies required by the particular position; or,<br>
<br>
Education and/or experience which is equivalent to &quot;1&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Proficiency in telecommunications protocols (VoIP, SIP, ISDN, etc) - Knowledge of network architecture, routers, switches, firewalls and load balancers - Extensive knowledge of logging and recording systems for 911 Telephony, Dispatch Radio and Computer Aided Dispatch System - Public Safety knowledge 911 Telephony, Dispatch Systems, Radio Conscle Audio Arbitration experience of UAT planning and execution - Familiarity with radio communication systems understanding ESINET NENA i3 network design - Ability to analyze complex network issues and propose effective solutions - Clear communication with emergency personnel is essential - Strong problem solving and troubleshooting skills to diagnose and resolve network/technical issues - Ability to work under pressure during critical incidents<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>772053</div>
</div></div><div><div><div><div>Posted until
</div><div>03/09/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95622</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT SECURITY SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>IT Security Specialist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>IT Security Specialist</div></div></div></div></div></div><p></p>

IT Security Specialist

Major League Soccer

<div>Overview:
<div>
Major League Soccer has built Fan Genome, a 360&deg; fan intelligence platform unifying demographic, behavioral, transactional, and engagement data across the league. MLS operates a modern cloud-native Lakehouse architecture built on medallion design, decoupled storage and compute, and distributed processing at scale.</div><div><br>
We are seeking a Director of Analytics Engineering &amp; BI Platform to lead the analytics engineering function and fully enable the BI organization on top of this existing foundation. This role focuses on curating scalable data products, standardizing enterprise metrics, strengthening semantic governance, and ensuring BI and AI use cases are supported by trusted, high-performance datasets.</div>
Responsibilities:
<div><b>
Lakehouse Enablement and Analytics Integration</b></div><ul><li>
Leverage MLS&rsquo;s existing Lakehouse architecture across bronze, silver, and gold layers to deliver scalable analytics and BI-ready data products.</li><li>
Define modeling, transformation, and serving standards that align analytics engineering workflows with the underlying platform.</li><li>
Partner with data engineering to ensure ingestion pipelines and core datasets support downstream BI and semantic requirements.</li><li>
Establish best practices for incremental processing, schema evolution, and open table usage within analytics use cases.</li><li>
Structure analytics workloads to take full advantage of decoupled storage and distributed compute capabilities.</li></ul><div><b>
Analytics Engineering &amp; Domain Data Products</b></div><ul><li>
Lead development and refinement of curated gold-layer datasets aligned to fan, commerce, content, and engagement domains.</li><li>
Implement scalable transformation frameworks leveraging distributed compute engines such as Spark or equivalent.</li><li>
Design domain-oriented data products built on large, incrementally processed tables rather than fragmented reporting schemas.</li><li>
Standardize transformation logic, automated testing, version control, CI/CD, and lineage tracking.</li><li>
Ensure data products are reusable, well-documented, and trusted across the organization.</li></ul><div><b>
BI Curation &amp; Enterprise Enablement</b></div><ul><li>
Curate and optimize analytics datasets specifically for Power BI and other enterprise BI tools.</li><li>
Design scalable BI-ready datasets that balance usability, governance, and performance.</li><li>
Optimize semantic models for query performance, refresh efficiency, and executive reporting requirements.</li><li>
Establish standards for dataset certification, lifecycle management, and metric consistency.</li><li>
Define best practices for incremental refresh, aggregation strategies, and performance tuning within Power BI.</li><li>
Provide structured partnership and ongoing support to ensure the BI team is fully enabled with stable, performant, and governed datasets.</li></ul><div><b>
Semantic Governance &amp; Knowledge Graph</b></div><ul><li>
Operate and evolve a centralized semantic layer that standardizes KPI definitions, hierarchies, and metric logic.</li><li>
Encode business rules programmatically to eliminate duplication across dashboards and downstream systems.</li><li>
Maintain a pragmatic semantic knowledge graph capability to model key entities and relationships across fan, commerce, and engagement domains.</li><li>
Ensure semantic assets are machine-readable and consistent across BI, APIs, and AI use cases.</li><li>
Implement metric certification, versioning, and change management processes.</li></ul><div><b>
Data Quality, Observability &amp; Contracts</b></div><ul><li>
Implement and mature a comprehensive data quality framework across medallion layers.</li><li>
Define SLAs for critical datasets and enterprise KPIs.</li><li>
Establish automated validation, reconciliation testing, anomaly detection, and freshness monitoring.</li><li>
Embed quality controls and semantic validation into analytics workflows.</li><li>
Formalize data and semantic contracts between upstream producers and BI consumers.</li></ul><div><b>
AI-Ready Data &amp; Metadata Foundations</b></div><ul><li>
Translate business logic and KPI definitions into structured, machine-readable representations.</li><li>
Maintain metadata-driven documentation capturing metric logic, lineage, and transformation dependencies.</li><li>
Ensure BI datasets and semantic assets are prepared for AI and advanced analytics use cases.</li><li>
Support integration with feature stores and emerging AI workflows where appropriate.</li></ul><div><b>
BI &amp; Asset Migration</b></div><ul><li>
Lead structured migration of legacy reporting assets and fragmented BI datasets into the unified Lakehouse and semantic architecture.</li><li>
Define migration playbooks including inventory, reconciliation, validation, parallel runs, and deprecation planning.</li><li>
Ensure metric parity and stakeholder confidence during transitions.</li></ul><div><b>
Leadership, Team Management &amp; Stakeholder Partnership</b></div><ul><li>
Lead, manage, and develop a high-performing analytics engineering team, including hiring, coaching, and performance management.</li><li>
Establish clear goals, operating rhythms, and accountability frameworks.</li><li>
Create career paths aligned to modern analytics engineering practices.</li><li>
Serve as a data champion across the organization, promoting enterprise data standards and metric consistency.</li><li>
Establish clear operating models across data engineering, analytics engineering, BI, and AI teams.</li><li>
Partner with executive stakeholders to translate business KPIs into governed semantic models and scalable data products.</li><li>
Foster a culture centered on engineering rigor, data quality, collaboration, and stakeholder alignment.</li></ul>
Qualifications:
<div><b>
E</b><b>ducation and Experience</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required. Advanced degree preferred.</li><li>
10+ years of experience working with modern cloud-native data platforms and enterprise BI ecosystems.</li><li>
8+ years leading engineering or analytics teams in distributed data environments.</li></ul><div><b>
Required skills</b></div><div><br>
</div><div><b>Modern Lakehouse &amp; Distributed Systems</b></div><ul><li>
Proven experience working within large-scale Lakehouse architectures with medallion modeling.</li><li>
Strong understanding of decoupled storage and compute architectures.</li><li>
Experience with open table formats such as Apache Iceberg or Apache Hudi.</li><li>
Expertise in distributed processing engines such as Apache Spark.</li><li>
Experience designing analytics workflows over large tables in object storage environments.</li></ul><div><b>
BI Curation &amp; Power BI Expertise</b></div><ul><li>
Strong experience designing, optimizing, and governing Power BI datasets at scale.</li><li>
Deep understanding of semantic modeling within Power BI, including measures, calculation groups, incremental refresh, and performance tuning.</li><li>
Experience building certified enterprise datasets supporting executive reporting and self-service analytics.</li><li>
Ability to align Lakehouse data products with BI consumption-layer requirements.</li></ul><div><b>
Analytics Engineering &amp; Semantic Modeling</b></div><ul><li>
Experience designing domain-oriented data products in Lakehouse environments using medallion layering and distributed transformations.</li><li>
Demonstrated experience building governed semantic layers and enterprise metrics frameworks.</li><li>
Ability to encode business rules programmatically and maintain machine-readable metric logic.</li><li>
Working knowledge of semantic knowledge graph concepts and entity relationship modeling.</li></ul><div><b>
Data Quality &amp; Observability</b></div><ul><li>
Experience implementing automated data validation frameworks in distributed architectures.</li><li>
Strong understanding of reconciliation testing, SLA enforcement, and lineage tracking at scale.</li></ul><div><b>
AI-Ready Data Systems</b></div><ul><li>
Familiarity with feature stores, embeddings, and vector indexing concepts.</li><li>
Experience maintaining metadata-driven systems that support machine-readable business semantics and AI consumption of analytics assets.</li></ul><div></div><div><b><br>
Total Rewards</b></div><div>
Major League Soccer offers a competitive starting base salary of $200,000 - $230,000.00, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.</div><div></div><div><br>
We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.</div><div></div><div><br>
At Major League Soccer, we are proud to be an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.</div><div></div><div><br>
We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it.</div><div></div><div><br>
Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!</div></div>

Senior Director, Analytics Engineering and BI Platform

NYU Langone Health

<div><p>NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News &amp; World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
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<i>For more information, go to</i> <i>NYU Langone Health</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i>, <i>YouTube</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Student Intern.</p>
<p>
NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News &amp; World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.<br>
About the Role<br>
The Data &amp; Analytics Intern will support analytics initiatives across the Program Measurement and Strategy team and the broader Communications, Marketing, Government and Community Affairs (CMGCA) department by helping turn data into meaningful insights. This internship is designed for undergraduate students seeking hands-on experience working with real business data, modern analytics tools, and collaborative teams. Interns will contribute to active analytics projects that inform decision-making while building foundational skills in data analysis, visualization, and storytelling. This role offers meaningful exposure to enterprise analytics workflows in a fast-paced, mission-driven environment.</p>
<p><b>
Job Responsibilities:</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Assist with <b>data analysis and reporting</b> to support marketing, digital, and operational initiatives</li>
<li>Help <b>prepare, clean, and validate datasets</b> from multiple sources</li>
<li>Build and maintain <b>analytics-ready tables and views</b> using SQL and/or Python</li>
<li>Support the development and maintenance of <b>dashboards and reports</b> (e.g., Tableau)</li>
<li>Conduct <b>ad-hoc analyses</b> to answer business questions and identify trends</li>
<li>Document <b>data definitions, assumptions, and analytical approaches</b></li>
<li>Collaborate with analytics team members on ongoing projects and initiatives</li>
<li>Participate in team meetings, project reviews, and learning sessions</li>
<li>Present project outcomes or insights at the conclusion of the internship</li>
</ul><h3 class="jobSectionHeader"><b>Potential Projects &amp; Learning Opportunities</b></h3>
<p>
Interns will work on a mix of structured projects and exploratory analyses, which may include:</p>
<h4 class="jobSectionHeader"><b>
Marketing Mix Modeling (MMM) Support</b></h4>
<ul><li>Prepare aggregated datasets used in Marketing Mix Models</li>
<li>Assist with analyzing how different marketing channels contribute to outcomes such as appointments or conversions</li>
<li>Learn how analytics teams measure marketing impact at an enterprise level</li>
</ul><h4 class="jobSectionHeader"><b>Databricks Analytics</b></h4>
<ul><li>Build and update datasets in Databricks using SQL (with some Python exposure)</li>
<li>Learn how raw data is transformed into trusted analytics tables</li>
<li>Gain experience working in a modern cloud-based analytics environment</li>
</ul><h4 class="jobSectionHeader"><b>Tableau Data Sources &amp; Dashboards</b></h4>
<ul><li>Create and maintain Tableau data sources connected to Databricks</li>
<li>Help define metrics and calculations used in dashboards</li>
<li>Support dashboard updates and performance improvements</li>
</ul><h4 class="jobSectionHeader"><b>Analytics &amp; Data Storytelling</b></h4>
<ul><li>Analyze trends and summarize findings in clear, visual formats</li>
<li>Present insights to analytics team members and project stakeholders</li>
</ul>
<p><b>Minimum Qualifications:</b><br>
To qualify you must have a Currently pursuing an undergraduate degree in Data Analytics, Statistics, Computer Science, Economics, Information Systems, Business Analytics, or a related field<br>
Basic experience with SQL (through coursework or projects)<br>
Interest in data analysis, visualization, and problem-solving<br>
Strong attention to detail and willingness to learn<br>
Ability to communicate findings clearly, both verbally and in writing</p>
<p><b>
Preferred Qualifications:</b><br>
Familiarity with Tableau or another data visualization tool<br>
Exposure to Python or R through coursework or personal projects<br>
Experience working with large datasets<br>
Interest in marketing analytics, digital analytics, or applied statistics</p>
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Qualified candidates must be able to effectively communicate with all levels of the organization.</i><br>
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NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.</p>
<p>
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
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NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.</p>
<p>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $17.00-17.00 Hourly. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Student Intern

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