analytic data engineer

analytics engineer

associate, data analytics Jobs in New York

associate, data analytics

data engineer, analytics (university grad) Jobs in New York

data engineer, analytics (university grad)

sap data engineer-5

data engineer analytics university grad

Data Engineer, Analytics (University Grad)

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Position: SAP Data Engineer</b><br>
<b>Location: Remote</b><br>
<b>Type: Full-time / Contract</b></p><div><b>
Overview</b></div><div>
We are seeking an experienced <b>SAP Data Engineer</b> with strong expertise across <b>SAP BRIM</b>, <b>FICO</b>, <b>Procurement/Ariba</b>, and <b>core SAP data structures</b>. This role requires hands-on experience with <b>highly customized billing, invoicing, and payments processes</b>, as well as the ability to design, extract, transform, and optimize data flows supporting end-to-end financial and subscription lifecycle operations.</div><div>
The ideal candidate combines <b>data engineering skills</b> with deep understanding of <b>SAP BRIM (CI, CC, SOM)</b> and <b>FICO processes</b>, enabling seamless data integration and analytics across complex finance and procurement landscapes.</div><div></div><div><b><br>
Required Skills &amp; Experience</b></div><div><b>
Technical Skills</b></div><ul><div>
Strong hands-on experience with <b>SAP BRIM data models</b> (CI, CC, SOM).</div><div>
SAP <b>FICO</b> data expertise: AR/AP, GL, payments, cash application, settlements.</div><div>
Experience with <b>SAP Ariba</b> and procurement data flows.</div><div>
Strong understanding of <b>core SAP tables, CDS views, IDocs, BAPIs, and API-based integration</b>.</div><div>
Proficiency with ETL tools, data modeling, and data transformation frameworks (e.g., BODS, SAP Data Intelligence, Informatica, Azure/AWS data pipelines).</div><div>
Experience with SQL, Python, or other data engineering languages.</div><div>
Ability to work with <b>highly customized SAP implementations</b>, especially in billing and payments.</div></ul><div></div><div><b><br>
Domain Skills</b></div><ul><div>
Subscription billing, rating, invoicing.</div><div>
Correspondence, partner payments, and settlements.</div><div>
Procurement lifecycle and supplier data flows.</div><div>
Finance and accounting processes.</div></ul><div></div><div><b><br>
Soft Skills</b></div><ul><div>
Excellent problem-solving and analytical capabilities.</div><div>
Strong communication and ability to work with cross-functional teams.</div><div>
Ability to translate business needs into technical solutions.</div></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><div>
Experience with <b>S/4HANA BRIM</b>.</div><div>
SAP certifications in BRIM, FICO, or Data Integration tools.</div><div>
Experience with cloud platforms (Azure, GCP, AWS).</div></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

SAP Data Engineer-5

DUETTI

<div><div><div>Company Description</div><div>
Duetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction. The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques.</div><div></div><div><br>
With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists&rsquo; lives. Join us on this transformative journey as we reshape the financial landscape for artists.</div><div></div><div><br>
Job Description</div><div>
We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data &amp; Analytics and help define the future of our data products.</div><div></div><div><br>
Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti&rsquo;s business model - you&rsquo;ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.</div></div>
<div><div><h3 class="jobSectionHeader"><b>You Will:</b></h3><ul><li><ul><li>
Own the core models, transformations, and analytics products that drive track and catalog pricing decisions</li><li>
Partner with Finance &amp; Management to uncover insights into catalog performance, revenue drivers, and portfolio health</li><li>
Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets</li><li>
Work closely with Product to design internal tools, workflows, and decision support systems</li><li>
Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams</li><li>
Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs</li><li>
Explore and build LLM-powered internal tools that automate data workflows</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li><ul><li>
5+ years in analytics engineering or data analytics roles within high-growth environments</li><li>
Strong SQL &amp; Python skills for data modeling, transformation, and automation</li><li>
Hands-on experience with BI tools (Looker, Tableau, or equivalent)</li><li>
Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders</li><li>
A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack</li><li>
Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)</li><li>
Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but not required)</li></ul></li></ul></div></div>
<div><div>$100,000 - $140,000 a year</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Analytics Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Databricks to join our innovative team. The ideal candidate will be responsible for developing, fine-tuning, and managing machine learning models in a production environment while optimizing costs and performance on the Databricks platform.</div><div><br>
</div><div></div><br>
<ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement
</li></ul><ul><li>Stay current with the latest advancements in machine learning and Databricks technologies
</li></ul>
<div></div><div>Salary Range-$110,000-$130,000 a year
</div>
<div><p>#LI-NR3</p>
<p><b>TCS Employee Benefits Summary:</b></p><br>
<p></p>
<ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
</ul>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385812</div>
</div><div><div><b>Desired Skills</b></div>
<div>DevOps</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$130,000 a year</div></div></div></div><div></div>

Engineer

hackajob

<div>
 <p>
  🔥
  <strong>
   We&rsquo;re hiring &mdash; Full Stack Software Engineer (NYC or SF)
  </strong>
 </p>
 <p>
  Chalk is building the data platform powering the next generation of ML applications. After raising a $50M Series A led by Felicis, we&rsquo;re expanding our engineering team in New York and San Francisco. This is an early-employee role &mdash; high ownership, close partnership with the co-founders, and tons of impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What you&rsquo;ll do:
 </p>
 <ul>
  <li>
   Build product-facing features across
   <strong>
    CLI and web
   </strong>
   , focusing on developer UX.
  </li>
  <li>
   Write TypeScript, Python, Go, and React to productionize our core platform.
  </li>
  <li>
   Tackle systems problems inspired by
   <strong>
    compilers, query planners, and distributed systems
   </strong>
   .
  </li>
  <li>
   Iterate rapidly with customer feedback to deliver real results.
  </li>
 </ul>
 <li>
 </li>
 <p>
  You should have:
 </p>
 <ul>
  <li>
   2+ years professional software engineering experience
  </li>
  <li>
   Strong computer science fundamentals and real-world systems experience
  </li>
  <li>
   A track record of building polished user-facing applications
  </li>
  <li>
   Ability to work onsite Monday&ndash;Friday in
   <strong>
    NYC
   </strong>
   or
   <strong>
    SF
   </strong>
  </li>
 </ul>
 <li>
 </li>
 <p>
  Nice-to-haves: data infra, developer tools, ML/data analytics, Go.
 </p>
 <p>
  Why Chalk? Great benefits, daily lunch &amp; dinner in-office, commuter perks, strong equity upside &mdash; and the chance to help shape a platform used for mission-critical ML applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Questions? DM me &mdash; happy to chat! 🙌
 </p>
 <p>
  #hashtags: #hiring #fullstackengineer #startuplife #mlplatform #nyc #sanfrancisco
 </p>
</div>


Software Engineer

Capgemini

<div><div><div><p>New York, NY</p><div>
FSSBU - Data Analyst - MS - C1</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div><b>
Job Description</b></div></div><div><p>
We are seeking a versatile and results-driven Data Analytics Engineer to join our team supporting client. This hybrid role blends the technical depth of data engineering with the strategic insight of business analytics responsible for understanding the business functions &amp; developing scalable data solutions, analytics and delivering actionable insights to business.</p><div><b>
Key Responsibilities</b><br>
<ul><li>Collaborate with business stakeholders to define key metrics, KPIs, and data requirements.</li><li>Design, build, and maintain efficient data pipelines and ETL processes to support analytics and reporting.</li><li>Translate complex datasets into clear, business-oriented insights and recommendations.</li><li>Develop and maintain dashboards, reports, and visualizations.</li><li>Ensure data accuracy, consistency, and governance across platforms.</li><li>Conduct deep-dive analyses to uncover trends, risks, and opportunities.</li><li>Partner with data scientists, product managers, and business teams to support strategic initiatives.</li></ul><br>
<b>
Required Qualifications</b><br>
<ul><li>Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field.</li><li>5+ years of experience in data engineering and analytics roles.</li><li>Strong proficiency in SQL &amp; Analytics tools.</li><li>Proven experience in financial services and wealth management domains, with expertise in stock plans, financial data, Crypto and related business processes.</li><li>Hands-on experience with data warehousing solutions such as Snowflake.</li><li>Solid understanding of data modeling, architecture, and governance principles.</li><li>Excellent communication and collaboration skills.</li></ul><br>
<b>
Preferred Skills</b><br>
<ul><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Familiarity with Analytics tools such as Dataiku etc.</li><li>Prior experience working with Morgan Stanley's Wealth Management team.'</li></ul></div></div></div></div><p>
The base compensation range for this role in the posted location is: USD 85k to 95k</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p><b>
Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p><b>Disclaimers</b></p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
378963-en_US</div></div><div><div>
Posted on</div><div>
15 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York, NY</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

FSSBU - Data Analyst - MS - C1

Weill Cornell Medicine

<div><div>Title: Website Marketing Manager</div>
<div>Location: Midtown</div>
<div>Org Unit: Marketing</div>
<div>Work Days: Monday-Friday</div>
<div>Weekly Hours: 35.00</div>
<div>Exemption Status: Exempt</div>
<div>Salary Range: $121,600.00 - $133,100.00</div>
<ul><li>As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices</li></ul>
<div><div><div><div>
Position Summary</div>
</div><div><p>
Reporting to the Director of Physician Organization Marketing, the Website Marketing Manager will lead the strategic development and execution of digital marketing initiatives focused on driving traffic, engagement, and patient conversion through Weill Cornell Medicine&rsquo;s patient care website. This role requires a blend of marketing acumen, technical proficiency, and cross-functional collaboration to ensure the website serves as a high-performing digital front door for patient acquisition and retention.</p></div></div><div><div><div>
Job Responsibilities</div>
</div><ul><li>Lead the strategic vision and execution of enterprise-level website marketing initiatives to drive patient acquisition, engagement, and measurable revenue growth, positioning the site as a premier digital front door for health care services.
</li><li>Champion cross-functional collaboration with IT, design, clinical depts, and marketing stakeholders to ensure digital initiatives align with institutional goals and deliver a seamless, patient-centric experience.
</li><li>Manage and maintain website content using Drupal, ensuring accuracy, consistency, and adherence to brand and accessibility standards.
</li><li>Integrate website efforts with broader digital campaigns, social media, email marketing, and paid media.
</li><li>Architect and implement advanced digital content strategies, ensuring website assets are optimized for discoverability, accessibility, and performance across search engines and AI-powered platforms (ChatGPT, Bing Copilot, Google SGE).
</li><li>Oversee the integration of AI-optimized content frameworks, semantic structuring, schema markup, and metadata enrichment, to enhance visibility and relevance in generative AI outputs and conversational search.
</li><li>Establish and manage a robust analytics ecosystem to identify opportunities for optimization and use analytics tools to monitor user behavior and engagement from AI-powered platforms. Translating insights into actionable strategies.
</li><li>Stay ahead of emerging digital trends, including generative AI, voice search, and machine learning applications in health care marketing, and proactively adapt strategies to maintain competitive advantage.
</li><li>Drive innovation in conversion rate optimization (CRO) through data-driven experimentation, A/B testing, personalization strategies, and UX enhancements that directly impact lead generation and appointment bookings.
</li><li>Partner with internal teams to develop landing pages and microsites tailored to specific campaigns or service lines.
</li></ul></div><div><div><div>Education</div>
</div><ul><li>Bachelor's Degree in Marketing, Communications, Digital Media or related field
</li></ul></div><div><div><div>Experience</div>
</div><div><ul><li>Minimum of 7 years of experience in digital marketing, with at least 3 years focused on website strategy and execution.</li>
<li>Proven experience managing websites using Drupal CMS is required.</li>
<li>Experience in health care marketing or working with public health institutions is strongly preferred.</li>
<li>Demonstrated success in developing and executing marketing strategies across the digital funnel.</li>
<li>Experience with Google Analytics, Google Tag Manager, and other performance tracking tools.</li>
</ul></div></div><div><div><div>Knowledge, Skills and Abilities</div>
</div><ul><li>Expertise in website marketing strategy, content management, and performance optimization.
</li><li>Strong understanding of digital marketing principles, including SEO, CRO, and analytics.
</li><li>Proficiency in Drupal, HTML, and web design best practices.
</li><li>Excellent content creation and editing skills.
</li><li>Strong collaboration and project management abilities.
</li><li>Ability to synthesize data into actionable insights and recommendations.
</li><li>Exceptional attention to detail, organizational skills, and communication abilities.
</li><li>Self-starter with a high degree of initiative and ability to manage multiple priorities in a fast-paced environment.
</li></ul></div><div><div><div>Licenses and Certifications</div>
</div><ul><li>No specific certifications required, though Google Analytics or HubSpot certifications are a plus.
</li></ul></div><div><div><div>Working Conditions/Physical Demands</div>
</div><div><ul><li>Hybrid work environment with occasional travel within NYC for meetings and site visits.</li></ul></div></div></div><br>
<p></p>
<p>Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of &ldquo;any person, any study.&rdquo; No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual&rsquo;s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.</p>
<p>Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans&rsquo; Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.</p></div><p></p>

Website Marketing Manager

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