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associate software engineer Jobs in New York

associate software engineer

data engineer

product analyst

analytics engineer

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

Morgan Stanley

<div><p>Morgan Stanley Services Group, Inc. seeks a Director, Lead Data &amp; Analytics Engineer in New York, New York
</p><p></p><p>Maintain and support services and capabilities of the firm&rsquo;s internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm&rsquo;s internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining.
</p><p></p><p>Salary :
</p><p>Expected base pay rates for the role will be between $160,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
</p><p></p><p>Requirements:
</p><p></p><p>Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java.
<br>
<br>
One (1) year of experience with: vended or open-source search engines; Javascript; and Python.
<br>
<br>
Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI&rsquo;s; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure.
</p><p></p><p>Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR025360 in the search field. No calls please. EOE
</p><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
</p><p></p><p>Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
</p><p></p><p>It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
</p><p></p><p>Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</p></div><p></p>

Director, Lead Data & Analytics 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

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Software Development Engineer in the Communications and Corporate Responsibility (CCR) Tech organization, you will work in a collaborative team environment delivering data-driven solutions and analytics capabilities. Our team specializes in building and maintaining data pipelines and analytics platforms that help internal customers access, analyze, and understand Amazon's communications efforts globally.<br>
In this role, you will develop and maintain data processing systems and analytics applications. Working alongside experienced engineers, you'll design and implement data ingestion pipelines, transform raw data into actionable insights, and build efficient data storage solutions using technologies like Amazon Redshift, S3 data lakes, and various AWS analytics services.<br>
<br>
This is an ideal role for engineers with data engineering expertise who want to expand their impact beyond traditional data functions. You'll have opportunities to grow as both a data specialist and a well-rounded software developer.<br>
<br>
A day in the life<br>
Your daily work will involve writing maintainable, efficient code for data processing and analytics workflows. You'll design and implement ETL pipelines, optimize query performance, and ensure data quality and consistency. Key responsibilities include building and maintaining data lakes using AWS services, developing ETL processes for data ingestion and transformation, optimizing Redshift queries and table designs, implementing data quality checks and monitoring, and creating efficient data models for analytics use cases.<br>
The ideal candidate should have experience with data warehouse technologies, particularly Amazon Redshift, ETL pipeline development and maintenance, SQL and data modeling, working with large-scale data processing systems, data lake architecture and implementation, and Python, Java, or similar languages for data processing.<br>
<br>
About the team<br>
You'll be joining a data-focused technical team within a primarily non-technical organization, providing unique opportunities to work with various data sources while building analytics solutions that make immediate impact. We emphasize data quality, performance optimization, and sustainable development practices.<br>
Our work spans several core data initiatives supporting Amazon's communications efforts, giving you exposure to different types of data processing and analytics challenges. As part of our team, you'll contribute to systems that help internal customers derive insights from Amazon's communications data across the globe. You'll work with modern data architectures and see the direct impact of your solutions on our customers' ability to make data-driven decisions.<br>
We've built our team from scratch since 2022, establishing a culture that emphasizes continuous learning in data engineering and analytics. We believe in providing regular feedback and support to help our engineers develop their skills in modern data technologies and advance their careers. If you're passionate about data engineering and want to work in an environment that supports your growth as a data-focused software developer.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer, Communications and Corporate Responsibility

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

Boosted.ai

<div>
 Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We&rsquo;re already trusted by leading enterprises and developers with over $5T under management with Boosted.ai.
 <br/>
 <br/>
 From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation.
 <br/>
 <br/>
 Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We&rsquo;re looking for sharp, low-ego people to help teams find their edge.
 <br/>
 <br/>
 <strong>
  Why is Boosted.ai the best place to work?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms)
  </li>
  <li>
   We&rsquo;re growing a lot (5x in the last year)
  </li>
  <li>
   Incredible culture (our customers keep applying to work here)
  </li>
  <li>
   Well-resourced &mdash; our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital (Twitter, Slack, Affirm), Ten Coves Capital (Plaid, Sentieo, TouchBistro), Portage Ventures (Wealthsimple, Borrowell, Nesto), and RBC (Royal Bank of Canada)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position Description
  <br/>
  <br/>
 </strong>
 Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai&rsquo;s engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform.
 <br/>
 <br/>
 As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals.
 <br/>
 <br/>
 The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients.
 <br/>
 <br/>
 If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology &ndash; we&rsquo;d love to chat!
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
  </li>
  <li>
   Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
  </li>
  <li>
   Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
  </li>
  <li>
   Work with large datasets, ensuring efficient processing, manipulation, and analysis.
  </li>
  <li>
   Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems.
  </li>
  <li>
   Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team.
  </li>
  <li>
   Continuously evaluate and integrate emerging technologies to improve system performance and scalability.
  </li>
  <li>
   Maintain a strong focus on writing clean, maintainable, and efficient code while adhering to best practices and coding standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field.
  </li>
  <li>
   3+ years of professional programming experience, with a strong focus on Python.
  </li>
  <li>
   Solid understanding of data structures, algorithms, and their applications.
  </li>
  <li>
   Experience building and optimizing distributed, scalable systems and high-performance applications.
  </li>
  <li>
   Proficiency in working with large-scale datasets and implementing solutions for efficient data processing.
  </li>
  <li>
   Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment.
  </li>
  <li>
   Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment.
  </li>
  <li>
   Experience with machine learning, data analytics, or financial services is a bonus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do.
 <br/>
 <br/>
 <ul>
  <li>
   Collaborative &ndash; We value our team and know that success can only come from working together
  </li>
  <li>
   Client Centric &ndash; Our focus is always on our clients and consistently delivering them value
  </li>
  <li>
   Action Oriented &ndash; We remove barriers and we seek to improve in measurable ways
  </li>
  <li>
   Accountable &ndash; We are accountable for ourselves, and we hold each other accountable
  </li>
  <li>
   Respectful &ndash; We are proud of our work, we are respectful of each other&rsquo;s opinions, and we keep a positive attitude
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 We want our benefits to reflect our values and offer the following to full-time employees:
 <br/>
 <br/>
 <ul>
  <li>
   Flexible (Unlimited) Paid Time Off
  </li>
  <li>
   Medical, Dental, and Vision benefits for you and your family
  </li>
  <li>
   Life Insurance and Disability Benefits
  </li>
  <li>
   Access to a 401(k) retirement savings plan (for U.S. employees)
  </li>
  <li>
   Paid Parental Leave
  </li>
  <li>
   Free access to use Boosted.ai Alfa&trade; to make money
  </li>
  <li>
   We love the energy of in-person collaboration while also offering the flexibility to work from home when needed
   <br/>
   <br/>
  </li>
 </ul>
 These benefits are further detailed in Boosted.ai&rsquo;s policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Boosted.ai&rsquo;s equity plans subject to the terms of the applicable plans and policies.
 <br/>
 <br/>
 <strong>
  Be you, with us
  <br/>
  <br/>
 </strong>
 We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
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Senior Software Engineer

JCPenney

<div>Overview:
<p>
We are looking for a data-driven and strategic HR Analytics and Reporting Manager to lead our HR data, analytics, and insights function at Catalyst Brands. This role transforms workforce data into actionable insights that drive predictive insights and digital decision tools that enhance both business performance and the associate experience across the organization. This role also drives Catalyst&rsquo;s data and intelligence agenda for the people organization and drive the use of advanced analytics in HR. The ideal candidate will combine strong analytical expertise with leadership, collaboration, and a passion for continuous improvement to build a truly data-informed HR culture.</p><p></p><p><br>
Location: Plano, TX or New York City Based - Hybrid - In office 3 days per week</p><br>
<p></p>
Responsibilities:
<div>
Lead Strategic HR Analytics Initiatives:<br>
<ul><li>Oversee the HR Analytics and Reporting function responsible for HR data, insights, and governance. Translate HR and business strategies into impactful dashboards and analytics that guide decisions around talent, engagement, and workforce planning.</li></ul>
Deliver Operational Excellence:<br>
<ul><li>Manage the creation and automation of HR reports and dashboards using predictive models that forecast talent movement, engagement, DEI, and workforce risk covering key metrics such as headcount, turnover, recruiting, and compensation. Ensure accuracy, consistency, and compliance across multiple HR systems (e.g., HCM, ATS, Payroll).</li></ul>
Drive Continuous Improvement:<br>
<ul><li>Identify opportunities to streamline and automate data processes through technology and innovation. Introduce advanced analytics, predictive modeling, and visualization tools to enhance insight delivery and scalability.</li></ul>
Build Team Capability:<br>
<ul><li>Develop and coach the HR analytics function to strengthen data storytelling, analytical thinking, and stakeholder management skills. Lead the implementation and adoption of advanced analytics tools including predictive analytics and AI</li></ul>
Collaborate Across the Organization:<br>
<ul><li>Partner with HR Business Partners, Centers of Excellence, IT, and Finance to ensure alignment on metrics, data governance, and strategy. Act as a trusted advisor to senior HR and business leaders, providing clear, actionable insights that inform strategy.</li></ul>
Enhance Communication and Impact:<br>
<ul><li>Present findings to executive leadership with clarity and confidence, translating data into narratives that drive understanding and action. Ensure consistent, transparent communication of key metrics across HR.</li></ul></div><br>
<p></p>
Qualifications:
<p>
Core Competencies &amp; Accomplishments:</p><ul><li>
5&ndash;8 years of HR analytics, reporting, or HRIS experience (PeopleSoft experience preferred)</li><li>
Bachelor&rsquo;s degree in human resources, Data Analytics, Computer Science, or a related field (Master&rsquo;s preferred)</li><li>
Proven success implementing analytics frameworks and visualization tools (Micro Strategy, Oracle Analytics Cloud, Power BI, or similar). Advanced Microsoft Excel and data modeling proficiency</li><li>
Experience in implementing autonomous dashboards including AI platforms/tools to enhance strategic foresight and predictive analytics</li><li>
Expertise in HR data governance and data integrity. Holistic understanding of how HR data flows across enterprise systems and automation platforms.</li><li>
Demonstrated ability to partner with HR and business leaders to shape workforce strategies</li><li>
Excellent problem-solving, critical thinking, and communication skills; able to simplify complex data into clear insights.</li><li>
Strong collaboration and influencing skills with a focus on results, accountability, and continuous improvement. Champion a culture of accountability, learning, and innovation across HR Operations and Systems.</li><li>
Though the role is an individual contributor, leadership experience including managing a team or function is highly preferred</li></ul><p></p><p><br>
What you get:</p><p></p><p><br>
Enjoy a rewarding career at Catalyst, where we offer a competitive benefits package, a vibrant work environment, and the opportunity to make a difference with America's most iconic retail brands.</p><ul><li>
A meaningful role: Join a team that drives the future of HR decision-making through insights, innovation, and analytics excellence.</li><li>
Comprehensive Benefits: Medical, dental, and vision coverage starting day one, term life insurance, paid vacation and holidays, 401(k) with company match, and associate discounts across all Catalyst Brands.</li><li>
Growth opportunities: We invest in your success through development programs, mentorship, and opportunities to advance your career within Catalyst&rsquo;s growing HR organization.</li><li>
Collaborative culture: Work in an environment built on teamwork, respect, and shared purpose&mdash;where your voice and expertise help shape the future of our people strategy.</li></ul><p></p><p><br>
About Catalyst:</p><p></p><p><br>
Catalyst Brands reflects the bringing together the rich heritages of our brands with modern excitement and a new vision for success. Six iconic brands came together under a unified powerhouse portfolio to celebrate the essence of American style. We will leverage our rich history, resources and best-in-class industry talent to further build the success of our brands. At Catalyst we are united in one shared purpose: We exist to ignite America&rsquo;s most beloved retail brands to make fashion accessible to all.</p><p>
For more opportunities to join our team please visit our careers page.</p>
Pay Range: USD $85,000.00 - USD $130,000.00 /Yr.</div>

HR Analytics and Reporting Manager

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