afc modelling - data scientist - associate - vice president

data engineer

associate research coordinator Jobs in New York

associate research coordinator

(usa) data analyst ii

account coordinator

afc modelling - data scientist - associate - vice president Jobs in New York

data analytics analyst

Howard-Sloan Search

<div>
 <p>
  <strong>
   Our client Global Investment Management Firm
  </strong>
 </p>
 <p>
  <strong>
   is seekng
  </strong>
 </p>
 <p>
  Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 </p>
 <p>
  <strong>
   for a
  </strong>
  Full Time role
 </p>
 <p>
  4 days onsite / 1 day remote in their Park Avenue, New York offices
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  $95&ndash;100K base / 10&ndash;15% bonus
 </p>
 <p>
  <strong>
   Level
  </strong>
  : Analyst, Data Science &amp; Analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This role Reports to
  </strong>
  :
  <strong>
  </strong>
  MD, DSA
  <strong>
  </strong>
  &amp;
  <strong>
  </strong>
  Executive Director, AI &amp; Business Analysis (AI Lead)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   you will be working directly with
  </strong>
  :
  <strong>
  </strong>
  MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 </p>
 <p>
  <br/>
 </p>
 <p>
  seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 </p>
 <p>
  seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 </p>
 <p>
  Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 </p>
 <p>
  As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 </p>
 <p>
  To achieve this, we need an Analyst who can:
 </p>
 <p>
  Apply rigorous quantitative methods to client and business problems
 </p>
 <ul>
  <li>
   Build, test, and refine models and analytical assets using structured and unstructured data
  </li>
  <li>
   Translate data into clear findings, recommendations, and decision support
  </li>
  <li>
   Contribute to internal AI and analytics capabilities that can scale across teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Quantitative Analysis &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
  </li>
  <li>
   Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
  </li>
  <li>
   Evaluate model performance, document assumptions, and support model validation and testing
  </li>
  <li>
   Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
  </li>
  <li>
   Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
  </li>
 </ul>
 <p>
  <strong>
   Client Delivery Support
  </strong>
 </p>
 <ul>
  <li>
   Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
  </li>
  <li>
   Help frame business questions into analytical hypotheses, required data inputs, and model approaches
  </li>
  <li>
   Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
  </li>
  <li>
   Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
  </li>
  <li>
   Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
  </li>
 </ul>
 <p>
  <strong>
   AI &amp; Internal Platform Contribution
  </strong>
 </p>
 <ul>
  <li>
   Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
  </li>
  <li>
   Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
  </li>
  <li>
   Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
  </li>
  <li>
   Partner with engineering and business teams to move analytical solutions from prototype to practical usage
  </li>
 </ul>
 <p>
  <strong>
   Measurement, Governance, and Controls
  </strong>
 </p>
 <ul>
  <li>
   Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
  </li>
  <li>
   Support adherence to internal standards related to model governance, data quality, explainability, and information security
  </li>
  <li>
   Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
  </li>
  <li>
   Help maintain disciplined testing, issue tracking, and version control across analytical work
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ways of Working
  </strong>
 </p>
 <ul>
  <li>
   Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
  </li>
  <li>
   Collaborate effectively across data science, business analysis, technology, and business stakeholders
  </li>
  <li>
   Learn quickly, absorb context fast, and contribute across multiple workstreams at once
  </li>
  <li>
   Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
  </li>
  <li>
   Master&rsquo;s degree is a plus, but not required
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   2 years of experience in data science, analytics, quantitative consulting, financial services,
  </li>
  <li>
   experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
  </li>
  <li>
   Experience supporting client-facing analytical work is a plus
  </li>
 </ul>
 <p>
  <strong>
   Core Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong quantitative, statistical, and problem-solving capabilities
  </li>
  <li>
   Ability to structure ambiguous questions into analytical workplans
  </li>
  <li>
   Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
  </li>
  <li>
   High attention to detail and ability to deliver under tight timelines
  </li>
 </ul>
 <p>
  <strong>
   AI, Data, and Technical Skills
  </strong>
  required
 </p>
 <ul>
  <li>
   Experience with Python and SQL
  </li>
  <li>
   Strong statistical analysis skills
  </li>
  <li>
   Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
  </li>
  <li>
   Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
  </li>
  <li>
   Familiarity with working across structured and unstructured datasets
  </li>
  <li>
   <strong>
   </strong>
   comfortable operating in a fast-paced, high-expectation environment
  </li>
  <li>
   Interested in applying quantitative methods to real commercial and client outcomes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Preffered skills:
 </p>
 <ul>
  <li>
   Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
  </li>
  <li>
   Familiarity with Power BI, Tableau, or similar visualization tools is a plus
  </li>
  <li>
   Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  PS
 </p>
 <p>
  must currently reside in the NY metro area
 </p>
 <p>
  must have a valid Work Permit for the Permanent employement
 </p>
 <p>
 </p>
</div>


Data Science (Python) Quant Analyst

Spendid Farms

<p><strong>Job Title:</strong> Data Analyst<br /><strong>Company:</strong> Splendid Farms<br /><strong>Location:</strong> <strong>New York, New York, United States</strong><br /><strong>Employment Type:</strong> <strong>FULL_TIME</strong><br /><br /><strong>About Splendid Farms</strong><br />Splendid Farms is a reliable leader in the agri-food industry, delivering value through a comprehensive range of services including export, marketing, packaging, logistics, agricultural production, and the distribution of agricultural inputs. We are committed to excellence and innovation, and we are looking for a talented individual to join our team.<br /><br /><strong>Job Overview</strong><br />We are seeking a meticulous and insightful <strong>Data Analyst</strong> to join our dynamic team. The ideal candidate will be passionate about data and its ability to drive business decisions. In this role, you will be responsible for analysing complex datasets to derive actionable insights that will influence strategy across our core operations, from agricultural production to global logistics. You will work closely with various departments to help them understand data, identify trends, and make better-informed decisions.<br /><br /><strong>Responsibilities</strong><br />* Collect and interpret data from diverse sources, including production metrics, supply chain logs, and market trends.<br />* Analyse results using statistical techniques and provide clear, comprehensive reports and dashboards.<br />* Develop and implement databases, data collection systems, and data analytics strategies that optimise statistical efficiency and quality.<br />* Identify, analyse, and interpret trends or patterns in complex data sets to provide valuable business insights.<br />* Create compelling data visualisations and presentations to communicate findings to stakeholders at all levels of the organisation.<br />* Collaborate with management and departmental heads to prioritise business and information needs.<br />* Contribute to the optimisation of logistics, marketing, and distribution processes through data-driven recommendations.<br /><br /><strong>Qualifications</strong><br />* Proven experience as a Data Analyst or in a similar analytical role.<br />* Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with exceptional attention to detail and accuracy.<br />* Proficiency in SQL and experience with data visualisation tools such as Tableau or Power BI.<br />* Excellent knowledge of statistical packages (e.g., Excel) and/or programming languages (e.g., Python, R).<br />* A degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.<br />* Superb communication and presentation skills, with the ability to convey complex findings in a clear and concise manner.<br />* Experience within the agriculture, food production, or supply chain industry is highly desirable.<br /><br /><strong>Benefits</strong><br />* A competitive salary and benefits package.<br />* Opportunities for professional development and continuous learning.<br />* A collaborative and supportive work environment.<br />* Generous annual leave allowance.<br />* Company pension scheme.</p>

Data Analyst

VIZIO

<div>
 Position Summary...As a Data Analyst II, you will leverage advanced analytical techniques and business knowledge to support data-driven decision-making across multiple domains. This role involves identifying relevant data sources, ensuring data quality, and applying statistical methods to generate actionable insights for VIZIO's Inscape clients. You will collaborate with stakeholders to develop visualizations and reports that effectively communicate findings, while supporting process improvements and project delivery. The position requires proficiency in data management, exploratory analysis, and clear communication to influence business outcomes and drive continuous improvement within a complex organizational environment.
 <br/>
 <br/>
 About the team:
 <br/>
 <br/>
 The team delivers VIZIO&rsquo;s Inscape TV data solutions to publishers, agencies, and brands by collaborating across functions with a foundation of respect, integrity, and accountability. Focused on continuous improvement, members utilize data insights and innovative approaches to enhance results. Leadership supports talent development through coaching and constructive feedback, fostering resilience and a growth mindset. Committed to exceptional customer experiences, the team upholds high ethical standards and operates in a results-driven environment aligned with Walmart&rsquo;s core values and strategic goals.
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 <br/>
 What you'll do...
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 <ul>
  <li>
   Analyze complex data sets to identify trends, patterns, and insights that support business decision-making across multiple domains.
  </li>
  <li>
   Develop and maintain data models, dashboards, and visualizations using advanced tools to communicate findings effectively.
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  </li>
  <li>
   Support data quality management by profiling, cleansing, and validating data to ensure accuracy and reliability.
  </li>
  <li>
   Assist in the identification and sourcing of relevant data to address business challenges and improve processes.
  </li>
  <li>
   Present analytical results clearly to stakeholders, adapting communication to different audiences.
   <br/>
   <br/>
  </li>
 </ul>
 What you'll bring:
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 <br/>
 <ul>
  <li>
   Proficiency in big data analytics and statistical techniques to support business problem-solving and decision-making.
  </li>
  <li>
   Experience with data visualization tools such as Python libraries, Tableau, or PowerBI to create clear and impactful graphical representations.
  </li>
  <li>
   Strong knowledge of database technologies including SQL and NoSQL for effective data sourcing and management.
  </li>
  <li>
   Ability to analyze data quality, perform data cleansing, and support data governance practices.
  </li>
  <li>
   Effective communication skills to present insights and influence stakeholders across multiple business domains.
  </li>
  <li>
   Familiarity with exploratory data analysis and relevant scripting languages to identify trends and correlations.
   <br/>
   <br/>
  </li>
 </ul>
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
 <br/>
 <br/>
 You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
 <br/>
 <br/>
 For information about PTO, see https://one.walmart.com/notices.
 <br/>
 <br/>
 Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 <br/>
 <br/>
 Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 <br/>
 <br/>
 <strong>
  For Information About Benefits And Eligibility, See One.Walmart.
  <br/>
  <br/>
 </strong>
 The annual salary range for this position is $84,000.00 - $156,000.00
 <br/>
 <br/>
 <strong>
  Additional Compensation Includes Annual Or Quarterly Performance Bonuses.
  <br/>
  <br/>
 </strong>
 Additional compensation for certain positions may also include :
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 <br/>
 <ul>
  <li>
   Stock
   <br/>
   <br/>
  </li>
 </ul>
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 ㅤ
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 ㅤ
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 ㅤ
 <br/>
 <br/>
 &lrm;
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 <br/>
 <strong>
  Minimum Qualifications...
  <br/>
  <br/>
 </strong>
 <em>
  <em>
   Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
   <br/>
   <br/>
  </em>
 </em>
 Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications...
  <br/>
  <br/>
 </strong>
 <em>
  <em>
   Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
   <br/>
   <br/>
  </em>
 </em>
 Data science, data analysis, statistics, or related field, Master&rsquo;s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
 <br/>
 <br/>
 Primary Location...
 <br/>
 <br/>
 350 5TH AVE, STE 4800 NEW YORK, NY 10118-4801, United States of America
 <br/>
 <br/>
 Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
</div>


(USA) Data Analyst II

Algomarketing

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
<b>
JOB TITLE</b> Marketing Data Operations Analyst</div><div></div><div><br>
<b>
LOCATION</b> US, East Coast</div><div></div><div><br>
<b>
CONTRACT</b> 6-month contract, with extension opportunities</div><div><br>
</div><div><b>ABOUT ALGOMARKETING</b></div><div><b>
&mdash;</b></div><div>
Algomarketing are experts at delivering programs and resourcing for strategic roles within Marketing teams. We are a global team of Marketing experts, spanning 30 countries across Asia Pacific, the Americas, Africa, and Europe. Highly experienced in enterprise B2B Marketing, and specialized in technology and SaaS.</div><div></div><div><br>
Our team works collaboratively, with experience from the world's largest and most ambitious brands, including Google, Stripe, Workday, Worldpay, Accenture, ACI Worldwide, GSK, and Allianz.</div><div></div><div><br>
We empower Marketers through Algorithmic Marketing, a data-driven approach that delivers deeper insights, faster execution, and streamlined operations.</div><div></div><div><br>
Visit our website to read more about us.</div><div></div><div><b><br>
ABOUT THE ROLE</b></div><div><b>
&mdash;</b></div><div>
The Marketing Data Operations Team covers the management and maintenance of the infrastructure that provides the Marketing Database for the organization. This also involves the processes and procedures used to collect, ingest, process, store, analyse and distribute data effectively and efficiently for Enterprise Marketing.</div><div></div><div><br>
Reporting into the Senior Manager, Marketing Data Operations, the role of the Marketing Data Operations Analyst leverages data to drive effective marketing campaigns through segmentation, audience creation and database management. The Marketing Data Operations Analyst plays a critical role in collaborating with marketing teams to understand priorities and ensures alignment between data strategies and regional objectives. This role manages and enhances the marketing database's integrity, develops targeted audience segments, and creates innovative segmentation strategies for email campaigns.</div><div><b>
&mdash;</b></div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div><br>
</div><div><b>
&mdash;</b></div><ul>
<li>Ideally has a Bachelor's degree in a technology or computer science-related subject.</li>
<li>5+ years of related experience working with large-scale databases that focus on both B2C/B2B data.</li>
<li>Very strong knowledge of marketing data, tools, and technologies, including CRM systems, CDP/SCV, marketing automation platforms, data warehouses, and dashboard/reporting tools.</li>
<li>Very strong expertise in data analysis, reporting, and strong proficiency in SQL or equivalent.</li>
<li>Very strong attention to detail and analytical mindset, with an ability to turn data into actionable insights.</li>
<li>Excellent communication skills to collaborate with cross-functional teams and key stakeholders, with an ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Problem-solving mindset with attention to detail, and can work independently and take initiative.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div><b><br>
&mdash;</b></div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Algomarketing&reg;</b></h3><div>
At Algomarketing, we revolutionize industry standards by propelling world-leading brands to new heights with rapid insights, accelerated executions, and seamless operations. Our team leverages cutting-edge technologies like machine learning, natural language processing, and robotic process automation to transform marketing and sales landscapes.<br>
</div><div>We are a global marketing &amp; sales operations and technology consultancy with a presence in 27 countries across 6 continents. Our diverse team of 100+ marketing and MarTech experts collaborates to deliver impactful, data-driven solutions.<br>
</div><div>Join us to be part of an innovative, dynamic environment where your skills will help drive the future of marketing. Experience professional growth and make a global impact with Algomarketing.</div><div>
<br>
Learn more about our services through our customer success stories, where we've brought the concept of Algorithmic Marketing to life. Visit our website to read more.</div></div>

Marketing Data Operations Analyst- US, East Coast

Pandora Jewelry

<div><div><div><div><div><div><p><b>Specialist, HR Data Analytics &amp; Insights, Pandora NAM</b></p><p><b><br>
</b></p><p>As the largest jewellery brand in the world, we a give a voice to millions of people&rsquo;s loves every day. Our beautiful products empower people all around the world to express themselves. We are proud to be part of their stories and the most important moments in their lives.</p><p><br>
</p><p>Where original thinking is welcomed, and can turn into positive impact in a heartbeat, we can dream big, dare to act, and deliver with care and passion. At Pandora where you can each craft far more than just an incredible career.</p><p></p><p><b><br>
About the Team:</b></p><p></p><p><br>
Our People Technology &amp; Analytics Team is responsible for data integrity, security, system testing, report writing and adherence to the Pandora North America corporate structure in SuccessFactors and UltiPro. In partnership with the Global People Technology team, this role is responsible for designing and implementing procedures to ensure HR data is accurate and reportable, enabling strategic business outcomes. This role will be responsible for serving as a subject matter expert (SME) for several solution platforms supporting the overall HR and business strategy, including but not limited to SuccessFactors and UKG.</p><p><br>
</p><p>The People Technology &amp; Analytics will act as a business partner on system compliance in coordination with local regulations and serves as a technical advisor to key stakeholders including but not limited to HR Performance &amp; Reward, Payroll, HR Business Partners, Sales &amp; Retail Excellence, IT and Finance.</p><p></p><p><br>
As an HR Data, Analytics &amp; Insights Analyst, you will play a critical role in shaping data‑driven decision‑making across the HR function. You will be responsible for collecting, analyzing, and interpreting HR data to uncover trends, patterns, and opportunities that drive strategic HR initiatives. This role requires a strong analytical mindset, fluency in data tools, and the ability to translate complex data into meaningful, actionable insights for stakeholders across the organization.</p><p></p><p><b><br>
Your Role As Specialist, HR Data, Analytics &amp; Insights:</b></p><p></p><p><b><br>
HR Data Analysis &amp; Insights</b></p><ul><li>
Collect and analyze HR data from various sources, including HRIS, employee surveys, performance systems, and other relevant platforms.</li><li>
Clean, transform, and validate system data to ensure accuracy, consistency, and integrity across all HR data sets.</li><li>
Use quantitative analysis techniques to identify trends, correlations, and insights related to HR metrics and KPIs.</li><li>
Conduct statistical analyses and predictive modeling to support HR initiatives and identify emerging risks or opportunities.</li><li>
Provide data-driven insights and recommendations to support strategic decision-making and guide HR programs</li></ul><p><b>
Reporting, Dashboards &amp; Visualization</b></p><ul><li>
Develop, maintain, and optimize HR dashboards, reports, and visualizations that effectively communicate findings to HR and business stakeholders.</li><li>
Collaborate with HR leaders to understand reporting needs and deliver customized analytics solutions.</li><li>
Train and support HR team members on analytics tools, dashboards, and reporting best practices.</li></ul><p></p><p><b><br>
Data Quality, Governance &amp; Compliance</b></p><ul><li>
Monitor HR data quality, identify anomalies and outliers, and take appropriate corrective actions.</li><li>
Ensure all HR data is handled in accordance with data privacy, confidentiality, and compliance requirements.</li><li>
Support HR data needs for regulatory reporting, audits, and compliance activities.</li></ul><p></p><p><b><br>
Data Integrations &amp; Systems Support</b></p><ul><li>
Support and monitor HR data integrations between HRIS, payroll, talent systems, and external vendor platforms to ensure accurate and timely data flows.</li><li>
Troubleshoot integration issues such as data mismatches, failed syncs, or errors, partnering with HRIS, IT, and vendors to resolve root causes.</li><li>
Validate, reconcile, and document integrated data sets to maintain consistency across systems and downstream dashboards.</li><li>
Participate in integration testing and data‑mapping exercises for system enhancements or new implementations.</li><li>
Leverage integration logs and monitoring tools to proactively identify issues and ensure data pipeline reliability.</li><li>
Educate HR stakeholders on how data integrations impact reporting, timing, field definitions, and data availability.</li></ul><p></p><p><b><br>
Projects, Innovation &amp; Continuous Improvement</b></p><ul><li>
Contribute to HR system implementations, analytics initiatives, automation efforts, and process improvement projects.</li><li>
Identify opportunities to streamline data processes, automate recurring analyses, and enhance analytics capabilities across HR.</li><li>
Stay current with HR trends, benchmarks, tools, and best practices in HR analytics and workforce intelligence.</li></ul><p></p><p><b><br>
Craft your career with us if you have:</b></p><ul><li>
3-5 years of experience as an HR Data Analyst, People Analytics Specialist, or similar role involving complex HR data sets.</li><li>
Strong understanding of HR processes, metrics, KPIs, and their application in workforce insights.</li><li>
Proficiency with data analysis tools and languages, such as Excel, SQL, Python, or R.</li><li>
Experience using data visualization platforms like Power BI, Tableau, or similar tools to build dashboards and reports.</li><li>
Familiarity with HRIS systems, including understanding of data structures, data extraction, and data governance concepts.</li><li>
Knowledge of statistical analysis techniques, including correlation, regression, forecasting, and predictive modeling.</li><li>
Experience validating, reconciling, or troubleshooting integrated data sets across multiple HR systems (e.g., HRIS + payroll + talent platforms).</li><li>
Excellent attention to detail, data accuracy, and documentation practices.</li><li>
Strong written and verbal communication skills, with the ability to translate complex data into clear stories, insights, and recommendations for non‑technical audiences.</li><li>
Strong organizational skills and the ability to manage multiple priorities in a fast‑paced environment.</li><li>
Demonstrated ability to work both independently and collaboratively with cross-functional teams.</li><li>
A continuous learning mindset and interest in staying current with analytics tools, HR tech trends, and best practices.</li></ul><p></p><p><b><br>
Our Benefits:
</b></p><ul><li>Dare! We offer robust compensation package including base and bonus, a 401K plan to help you secure your financial future
</li><li>We Care! Pandora offers extensive benefits including: Medical, Dental, Vision, Short/Long Term Disability, Basic Life and AD&amp;D, anniversary gift cards, recognition program and product discounts!</li><li>
We Dream! Pandora is fostering growth and crafting opportunities to support the business needs which learning and development programs, continuous feedback, LinkedIn learning, tuition reimbursement and more</li><li>
We Deliver! PTO Package including: Vacation, Personal, Sick, Celebration days and Paid Holidays</li></ul><p></p><p><b><br>
New York Salary: $93,000 - $116,000 commensurate with experience</b></p><p></p><p><b><br>
About Pandora:</b></p><p></p><p><br>
Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 7,000 points of sale, including more than 2,800 concept stores.</p><p></p><p><br>
Headquartered in Copenhagen, Denmark, Pandora employs around 39,000 people worldwide and crafts its jewellery with 100% recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 32.5 billion (EUR 4.4 billion) in 2025.</p><p></p><p><br>
Pandora&rsquo;s recruitment procedures are designed to be transparent and clear for all candidates. This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity-related elements such as a photo, marital status, and age.</p><p><br>
</p><p><b>About Pandora NAM:</b></p><p></p><p><br>
The Pandora North America team in the USA &amp; Canada consists of more than 115 employees working at our offices in New York &amp; Baltimore, more than 80 in our Logistics Center in Columbia, Maryland, an additional 100 in field positions, and more than 3,900 in our owned and operated stores.</p><p>
Today, the USA is Pandora&rsquo;s single largest market. The Pandora North American region as a whole encompasses over 1,400 points of sale, including over 420 concept stores, with more than 300 being owned and operated by Pandora.</p></div><br>
</div></div>
</div><div><div><h3 class="jobSectionHeader"><b>Job Details</b></h3>
<div><div><p>Job Title</p>
<p>Specialist, HR Data, Analytics &amp; Insights</p>
</div><div><p>Position Type</p>
<p>Full Time</p>
</div><div><p>Date Posted</p>
<p>06/12/2026</p>
</div><div></div><div><p>Career Area</p>
<p>Corporate</p>
</div><div><p>Location(s)</p>
<p>New York, NY 10001, United States</p>
</div><div></div><div><p>Job ID</p>
<p>1403634533</p>
</div><div><p>Reference Number</p></div></div></div></div></div></div><p></p>

Specialist, HR Data, Analytics & Insights

Scotiabank

<p></p><div><p><b>Requisition ID:</b> 260876</p>
<p><b>Salary Range:</b> 120,000.00 - 130,000.00</p>
<p><i>Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate&rsquo;s relevant knowledge, skills, and experience.</i></p><br>
<p></p><p>Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.</p><br>
<p></p><p><b>Title: Analyst, Mortgage Backed Securities (MBS) New York, NY</b></p><br>
<p><br>
<b>Global Banking and Markets:</b>
</p><p>Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank&rsquo;s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.</p>
<p>Global Banking &amp; Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers &amp; acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious &amp; metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.</p>
<p>Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!</p><br>
<p><br>
<b>Purpose:</b>
<br>
The Agency MBS Analyst supports and helps develop the firm&rsquo;s Agency MBS/TBA trading business, with secondary responsibilities in trading support and market making. This early-career role is designed to build foundational Agency MBS expertise across analytics and trade execution support. The position will also interface with Houston-based mortgage lending and origination teams as the business expands.</p><br>
<p></p><div><b>Responsibilities:</b>
<br>
<ul><li>Support Agency MBS/TBA trading activities, including collateral and prepayment analysis; develop Python-based analytical tools to streamline data workflows.
</li><li>Partner with institutional sales teams to address client demand for Agency MBS products; provide timely market color, liquidity insights, and product education.
</li><li>Build and maintain relationships with external counterparties, including dealer trading desks and institutional clients.
</li><li>Monitor Agency MBS and broader fixed-income market developments to identify relative value opportunities and generate trade ideas; proactively communicate recommendations to sales teams and clients.
</li><li>Prepare daily P&amp;L reporting, reconcile trade positions with middle office, and perform performance attribution to identify key drivers of desk results.
</li><li>Execute and manage hedging strategies using TBA, U.S. Treasuries, swaps, and swaptions; maintain exposures within established risk limits and ensure all trading activity complies with regulatory requirements and internal trading policies.</li></ul></div><br>
<p></p><div><b>Qualifications:</b>
<br>
<ul><li>Bachelor&rsquo;s degree in Finance, Economics, Mathematics, Engineering, or a related field; master&rsquo;s degree preferred.
</li><li>0&ndash;3 years of experience in fixed income (trading, analytics, research, or risk), with interest in Agency MBS/TBA markets.
</li><li>Strong quantitative, analytical, and problem-solving skills; ability to synthesize market and collateral data into actionable insights.
</li><li>Proficiency in Python; experience building repeatable analytics and automations for data analysis and reporting.
</li><li>Familiarity with Bloomberg and/or other fixed-income analytics platforms preferred.
</li><li>Strong written and verbal communication skills, with the ability to support client-facing discussions in partnership with Sales.
</li><li>High attention to detail and sound judgment in a fast-paced trading environment; ability to manage priorities and deadlines.
</li><li>Preferred: FINRA Series 7 and 63 (or ability to obtain)</li></ul></div><br>
<p></p><p><b>Interested?</b></p>
<p>At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That&rsquo;s why we work to grow and diversify talent and engage employees in a performance-oriented culture.</p><br>
<p></p><p><b>What's in it for you?</b></p>
<p>Scotiabank wants you to be able to bring your best self to work &ndash; and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.</p>
<p>Location(s): United States : New York : New York City</p>
<p>Scotiabank is a leading bank in the Americas. Guided by our purpose: &quot;for every future&quot;, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.</p>
<p>At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
<br>
<br>
Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.</p></div>

Analyst - Mortgage Backed Securities (MBS) New York, NY

Next Generation Inc. (NGI)

<p></p><div><p><b>Position Overview</b></p>
<p>
Next Generation, Inc. is seeking experienced Technology Business Management (TBM) Expense Transparency Consultants to support enterprise-wide IT financial transparency initiatives across multiple technology service towers, including Product Management, Infrastructure &amp; Operations, Cybersecurity, and other IT functions.</p>
<p>
This is a Business Analyst position and not a Technical Business Analyst role. The ideal candidate will possess a strong background in IT financial management, cost transparency, budgeting, financial reporting, and stakeholder engagement. The consultant will play a key role in improving visibility into technology spending, strengthening financial accountability, and aligning IT investments with business value.</p>
<p>
This position requires an individual who can effectively bridge Finance, IT, and business operations while managing complex financial datasets, cost allocation methodologies, and reporting frameworks.</p>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>Technology Business Management (TBM) &amp; Expense Transparency</b></h3>
<ul><li>Lead and support Technology Business Management (TBM) Expense Transparency initiatives across all IT service towers.</li><li>
Ensure consistency in financial reporting, allocation methodologies, cost modeling practices, and transparency frameworks.</li><li>
Develop, maintain, and continuously enhance TBM financial models and reporting structures.</li><li>
Support service tower mapping, cost allocation models, and run-versus-innovate classifications.</li><li>
Analyze and interpret IT spending patterns, cost drivers, and financial trends.</li></ul>
<h3 class="jobSectionHeader"><b>Financial Planning, Reporting &amp; Analysis</b></h3>
<ul><li>Maintain and support reporting utilized to communicate IT financial performance and spending insights to leadership and stakeholders.</li><li>
Validate, update, and enhance allocation methodologies and cost transparency frameworks.</li><li>
Perform financial analysis to identify trends, opportunities for optimization, and potential cost efficiencies.</li><li>
Ensure accuracy, consistency, and defensibility of financial reporting outputs.</li><li>
Refine data sources, mapping logic, allocation rules, and financial assumptions to improve reporting quality.</li></ul>
<h3 class="jobSectionHeader"><b>Stakeholder Collaboration</b></h3>
<ul><li>Partner closely with IT Service Owners, Finance teams, Procurement groups, and business stakeholders.</li><li>
Validate financial inputs and improve alignment between IT costs, services, and business outcomes.</li><li>
Facilitate discussions regarding cost structures, expense drivers, and budgeting strategies.</li><li>
Translate complex financial and operational data into meaningful business insights for non-financial audiences.</li></ul>
<h3 class="jobSectionHeader"><b>Process Improvement &amp; Governance</b></h3>
<ul><li>Support continuous improvement initiatives related to IT financial management and TBM practices.</li><li>
Assist in establishing standardized reporting processes and governance frameworks.</li><li>
Promote financial accountability and transparency across IT organizations.</li><li>
Ensure compliance with established financial management and reporting standards.</li></ul>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li>Demonstrated experience in:<ul><li>
Technology Business Management (TBM)</li><li>
IT Financial Management (ITFM)</li><li>
Cost Transparency Programs</li><li>
Financial Planning &amp; Analysis (FP&amp;A)</li><li>
IT Budgeting and Cost Management</li></ul></li><li>
Strong understanding of:<ul><li>
Budgeting and Forecasting</li><li>
Cost Allocation Methodologies</li><li>
Procurement Processes</li><li>
Contract Management</li><li>
Financial Reporting and Analysis</li></ul></li><li>
Advanced Microsoft Excel expertise, including:<ul><li>
Complex Formulas</li><li>
Financial Modeling</li><li>
Pivot Tables</li><li>
Scenario Analysis</li><li>
Data Manipulation and Reporting Automation</li></ul></li><li>
Proven ability to work effectively with Finance, IT, and business stakeholders.</li><li>
Strong analytical, problem-solving, and organizational skills.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to present complex financial information to non-financial audiences.</li></ul>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<h3 class="jobSectionHeader"><b>TBM &amp; Financial Transparency</b></h3>
<ul><li>Experience supporting TBM frameworks and cost transparency initiatives.</li><li>
Knowledge of cost allocation methodologies and IT cost modeling best practices.</li><li>
Experience creating and maintaining financial transparency reporting and dashboards.</li></ul>
<h3 class="jobSectionHeader"><b>Reporting &amp; Analytics</b></h3>
<ul><li>Experience utilizing:<ul><li>
Power BI</li><li>
Financial Dashboards</li><li>
Data Visualization Tools</li><li>
Executive Reporting Frameworks</li></ul></li><li>
Ability to analyze large and complex financial datasets.</li></ul>
<h3 class="jobSectionHeader"><b>Enterprise Systems</b></h3>
<ul><li>Hands-on experience with:<ul><li>
ServiceNow IT Financial Management (ITFM)</li><li>
ServiceNow CMDB</li><li>
ServiceNow Asset and Request Management</li><li>
ServiceNow Service Taxonomy Frameworks</li></ul></li><li>
Experience with PeopleSoft Financials or comparable ERP platforms such as SAP, Oracle Financials, or Workday Financial Management.</li></ul>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>
The successful candidate will be:</p>
<ul><li>
A highly analytical and detail-oriented Business Analyst with a passion for financial transparency and operational excellence.</li><li>
Skilled at identifying financial trends, cost drivers, and opportunities for process improvement.</li><li>
Comfortable working independently while managing multiple priorities and deadlines.</li><li>
An effective communicator capable of collaborating with both technical and non-technical stakeholders.</li><li>
Experienced in navigating large, complex financial datasets and evolving TBM frameworks.</li><li>
Adaptable and capable of thriving within fast-paced, enterprise-level environments.</li></ul>
<h2 class="jobSectionHeader"><b>Preferred Industry Experience</b></h2>
<p>
Candidates with experience supporting the following environments are highly preferred:</p>
<ul><li>
Public Sector Organizations</li><li>
Transportation Agencies</li><li>
Large Enterprise IT Organizations</li><li>
Technology Business Management (TBM) Programs</li><li>
IT Financial Management (ITFM) Initiatives</li><li>
Infrastructure &amp; Operations Organizations</li><li>
Cybersecurity Organizations</li></ul>
<h3 class="jobSectionHeader"><b>Additional Preference</b></h3>
<ul><li>Prior experience supporting large public-sector organizations is highly desirable.</li></ul><p><b>
Benefits:</b></p><p>
Competitive hourly rate range from $75.00 to $100.00 an hour</p></div>

Business Analyst - Technology Business Management (TBM) Expense Transparency Consultant

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