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Next Generation Inc. (NGI)

<div>Position Overview

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.

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.

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.
<h2 class="jobSectionHeader">
Key Responsibilities</h2>
<h3 class="jobSectionHeader">Technology Business Management (TBM) &amp; Expense Transparency</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">Financial Planning, Reporting &amp; Analysis</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">Stakeholder Collaboration</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">Process Improvement &amp; Governance</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">Required Qualifications</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">Preferred Qualifications</h2>
<h3 class="jobSectionHeader">TBM &amp; Financial Transparency</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">Reporting &amp; Analytics</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">Enterprise Systems</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">Ideal Candidate Profile</h2>

The successful candidate will be:
<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">Preferred Industry Experience</h2>

Candidates with experience supporting the following environments are highly preferred:
<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">Additional Preference</h3>
<ul><li>Prior experience supporting large public-sector organizations is highly desirable.</li></ul>
Benefits:
Competitive hourly rate range from $75.00 to $100.00 an hour</div>

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

OTC Markets Group

<div>
 
 OTC Markets Group - New York, NY - Full Time
 
 
 
 OTC Markets Group Inc., operator of premier US financial marketplaces, is seeking a detail-oriented
 
 Associate, Financial Analyst
 
 who brings a strong accounting foundation combined with advanced analytical, technical, and process improvement capabilities. This role will drive data-driven insights, process optimization, and system enhancements across core accounting functions including Accounts Receivable, Accounts Payable, and financial close. The ideal candidate will go beyond transaction processing to analyze workflows, identify inefficiencies, and design scalable solutions that improve accuracy, reduce cycle times, and support strategic decision-making. The successful candidate will thrive in an environment that values transparency, continuous improvement, and purposeful collaboration.
 
 
 We invest heavily in employee satisfaction and offer all our employees a highly competitive compensation package. As a dynamic, growing company that fosters an open culture, we emphasize autonomy, responsibility, innovation, and self-discipline. We are looking for someone who wants to make an impressive impact at a company known for its reputation on quality and achievement.
 
 
 Base compensation for this role is up to
 
 $95,000.00
 
 annually, depending on experience. This position is eligible for our discretionary
 
 annual bonus program
 
 . NOTE: We do not offer relocation for this role.
 
 
 
 What You&rsquo;ll Do:
 
 
 
 Finance &amp; Accounting Operations
 
 
 <ul>
 <li>
 Engage in and analyze core accounting processes including AR, AP, and month-end close, ensuring accuracy, completeness, and timeliness
 </li>
 <li>
 Support and evaluate billing, collections, cash application, and vendor payment workflows to identify opportunities for improvement
 </li>
 <li>
 Enhance reconciliations, accrual processes, and financial reporting accuracy
 </li>
 <li>
 Deliver data-driven financial insights and variance analysis to support business decision-making
 </li>
 <li>
 Support the Financial Planning and Analysis process
 </li>
 <li>
 Support strategic initiatives by providing financial modeling and analytical support
 </li>
 <li>
 Assist in preparation of quarterly and annual financial reporting filings
 
 
 </li>
 </ul>
 Business Analysis &amp; Process Optimization
 
 
 <ul>
 <li>
 Assess existing finance processes and redesign workflows to improve efficiency, scalability, and control
 </li>
 <li>
 Lead or support process improvement initiatives (e.g., automation, reduction of manual touchpoints, cycle time compression)
 </li>
 <li>
 Define business requirements and translate them into functional specifications for system enhancements or implementations
 </li>
 <li>
 Develop and maintain process documentation, SOPs, and control frameworks aligned with audit requirements
 
 
 </li>
 </ul>
 Data Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Build and maintain workflows, templates, and standard reports across finance systems and tools
 </li>
 <li>
 Build and maintain financial and operational dashboards
 </li>
 <li>
 Perform trend analysis, KPI tracking, and root-cause analysis across business and financial metrics as well as core processes
 </li>
 <li>
 Automate recurring reporting and data workflows to improve timeliness and reliability
 
 
 </li>
 </ul>
 Systems &amp; Technology Enablement
 
 
 <ul>
 <li>
 Serve as a super-user and subject matter expert for financial systems (ERP, billing platforms, payables tools, closing solution)
 </li>
 <li>
 Partner across the organization and with external consultants to implement and optimize tools (e.g., ERP, automation solutions, reporting platforms, AI tools and agents)
 </li>
 <li>
 Drive adoption of automation and advanced tools to streamline accounting operations
 </li>
 <li>
 Support system integrations, data integrity validation, and testing (UAT) for new functionality
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For:
 
 
 
 <ul>
 <li>
 2+ years of experience in accounting, finance operations, or business analysis
 </li>
 <li>
 Strong foundation in AR, AP, and/or financial close processes
 </li>
 <li>
 Advanced proficiency in Excel (data analysis, modeling, automation)
 </li>
 <li>
 Familiarity with programming languages (e.g., Python), machine learning and LLMs, and predictive analytics techniques, a plus
 </li>
 <li>
 Experience with financial systems (e.g., Sage Intacct, Blackline) preferred
 </li>
 <li>
 Demonstrated ability to analyze processes and drive measurable improvements
 </li>
 <li>
 Experience translating business needs into technical or functional requirements, a plu
 </li>
 <li>
 Strong attention to detail with an ability to manage multiple priorities
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit
 
 
 
 <ul>
 <li>
 You think like an operator and an analyst, not just a processor
 </li>
 <li>
 You proactively identify inefficiencies and propose scalable, technology-driven solutions
 </li>
 <li>
 You are comfortable working with data, systems, and cross-functional stakeholders
 </li>
 <li>
 You focus on business outcomes, such as cycle time reduction, accuracy improvement, and cost efficiency
 </li>
 <li>
 You thrive in environments that value continuous improvement, innovation, and accountability
 
 
 </li>
 </ul>
 
 What OTC Markets Offers its Team Members (Why You Should Choose Us):
 
 
 
 
 Benefits:
 
 
 
 <ul>
 <li>
 Generous Paid Time Off (PTO)
 </li>
 <li>
 Health, Dental, and Vision Coverage
 </li>
 <li>
 Health Savings Account (HSA)
 </li>
 <li>
 Flexible Spending Accounts (FSA) Dependent &amp; Healthcare
 </li>
 <li>
 Limited Purpose Flexible Spending Account (LPFSA)
 </li>
 <li>
 Generous Paid Parental Leave Program
 </li>
 <li>
 Discretionary Annual bonus and Stock Incentive Program
 </li>
 <li>
 401(K) Plan - Retirement
 </li>
 <li>
 Commuter Transit &amp; Parking Program
 </li>
 <li>
 Income Protection (Life Insurance, Short- &amp; Long-Term Disability)
 </li>
 <li>
 Voluntary Benefits (Accident, Critical Illness, &amp; Hospital Indemnity)
 
 
 </li>
 </ul>
 
 Perks:
 
 
 
 <ul>
 <li>
 Hybrid Work Schedule
 </li>
 <li>
 Class Pass Partnership (Fitness &amp; Wellness Programs)
 </li>
 <li>
 Citi Bike Membership Program
 </li>
 <li>
 Mondays &ndash; Breakfast Bagels &amp; Wednesdays &ndash; Pizza Lunch
 </li>
 <li>
 Office Snacks and Beverages
 </li>
 <li>
 Monthly birthday celebrations
 
 
 </li>
 </ul>
 
 About OTC Markets Group Inc.
 
 
 
 OTC Markets Group Inc. (OTCQX: OTCM) operates regulated markets for trading 12,000 U.S. and international securities. Our data-driven disclosure standards form the foundation of our public markets: OTCQX&reg; Best Market, OTCQB&reg; Venture Market, OTCID&trade; Basic Market and Pink Limited&trade; Market. Our OTC Link&reg; Alternative Trading Systems (ATSs) provide critical market infrastructure that broker-dealers rely on to facilitate trading. Our innovative model offers companies more efficient access to the U.S. financial markets.
 
 
 OTC Link ATS, OTC Link ECN, OTC Link NQB, and MOON ATS&trade; are each SEC regulated ATS, operated by OTC Link LLC, a FINRA and SEC registered broker-dealer, member SIPC.
 
 
 To learn more about how we create better informed and more efficient markets, visit www.otcmarkets.com.
 
 
 We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds.
 
 
 Applicants have rights under Federal Law:
 
 
 Equal Employment Opportunity is the Law
 
 
 Polygraph Protection Act
 
 
 FMLA
</div>

Associate, Financial Analyst

<div>
 At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.
 
 
 
 Job Title:
 
 Financial Analyst, Global Brand Finance - UGG &amp; HOKA
 
 
 
 Reports to:
 
 Global Brand Finance Director - HOKA &amp; UGG
 
 
 
 Location:
 
 United States (Remote)
 
 
 Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington.
 
 
 
 The Role
 
 
 
 As a Financial Analyst supporting UGG and HOKA at the global level, you&rsquo;ll be at the intersection of brand strategy, product decisions, and financial discipline. You&rsquo;ll help leaders understand how investments drive demand, category growth, and long-range brand performance. This developmental, high-impact role partners closely with Global Brand Marketing, Global Merchandising and Planning, Accounting, and cross-functional operations teams to improve planning quality, strengthen reporting clarity, and enable better, faster decision-making. You&rsquo;ll be supported by senior finance leaders while taking meaningful ownership of core workstreams and deliverables.
 
 
 
 We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.
 
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Lead budgeting, forecasting, and performance management for Global Brand Marketing across UGG and HOKA, ensuring spend aligns with strategy and SG&amp;A targets
 </li>
 <li>
 Build ROI and campaign performance frameworks to drive disciplined investment decisions across agencies, sport marketing, and partnerships
 </li>
 <li>
 Support 3 to 5-year revenue and margin planning by developing consistent, well-governed assumptions across brand, product, and finance partners
 </li>
 <li>
 Translate product, pricing, and mix decisions into clear financial implications, risks, and tradeoffs throughout go-to-market milestones
 </li>
 <li>
 Partner with Finance, Operations, and Demand Planning to improve inventory visibility, support composition analysis, and scenario planning
 </li>
 <li>
 Deliver hindsight and forecast-accuracy analyses across planning horizons to strengthen decision-making and learning loops
 </li>
 <li>
 Provide high-impact ad hoc analysis to support strategic initiatives and evolving business needs
 </li>
 <li>
 Continuously streamline tools, reporting, and processes to improve decision speed, clarity, and quality
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field preferred, or equivalent experience demonstrating strong financial analysis, modeling, and business acumen
 </li>
 <li>
 Minimum 1+ years of experience in FP&amp;A, corporate finance, or a related analytical role
 </li>
 <li>
 Strong Excel modeling skills (required)
 </li>
 <li>
 Experience with Hyperion or similar planning systems (preferred)
 </li>
 <li>
 Familiarity with Power BI or Tableau (nice to have)
 </li>
 <li>
 Ability to manage multiple priorities and deadlines
 </li>
 <li>
 Strong collaboration and communication skills
 </li>
 <li>
 Interest in consumer brands, marketing analytics, and long-range planning
 
 
 </li>
 </ul>
 
 What We'll Give You
 
 
 
 <ul>
 <li>
 Competitive Pay and Bonuses - We&rsquo;ve created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they&rsquo;re valued.
 </li>
 <li>
 Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
 </li>
 <li>
 Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees&rsquo; needs to get out, get healthy and come back stronger than ever.
 </li>
 <li>
 Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
 </li>
 <li>
 Growth and Development - Deckers Brands was built on the idea of pursuing passion. That&rsquo;s why we offer extensive opportunities and support for personal and professional development.
 </li>
 <li>
 Health and Wellness - There&rsquo;s nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.
 
 
 </li>
 </ul>
 $75,000 - $85,000/Annually
 
 
 The salary range posted reflects the minimum and maximum target for new hire salaries for this role in Goleta, CA. Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process.
 
 
 
 Equal Employment Opportunity
 
 
 
 
 Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.
 
 
 
</div>

Financial Analyst, Global Brand Finance - UGG & HOKA

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

Pandora Jewelry

<div><div><div><div><div><div>Specialist, HR Data Analytics &amp; Insights, Pandora NAM 
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. 
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. 
About the Team: 
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. 
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. 
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. 
Your Role As Specialist, HR Data, Analytics &amp; Insights: 
HR Data Analysis &amp; Insights<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>
Reporting, Dashboards &amp; Visualization<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> 
Data Quality, Governance &amp; Compliance<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> 
Data Integrations &amp; Systems Support<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> 
Projects, Innovation &amp; Continuous Improvement<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> 
Craft your career with us if you have:<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> 
Our Benefits:
<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> 
New York Salary: $93,000 - $116,000 commensurate with experience 
About Pandora: 
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. 
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. 
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. 
About Pandora NAM: 
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.
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.</div> 
</div></div>
</div><div><div><h3 class="jobSectionHeader">Job Details</h3>
<div><div>Job Title
Specialist, HR Data, Analytics &amp; Insights
</div><div>Position Type
Full Time
</div><div>Date Posted
06/12/2026
</div><div></div><div>Career Area
Corporate
</div><div>Location(s)
New York, NY 10001, United States
</div><div></div><div>Job ID
1403634533
</div><div>Reference Number</div></div></div></div></div></div>

Specialist, HR Data, Analytics & Insights

Forge Global

<div><div>At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge&rsquo;s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.</div><div>

The Role:
We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models &mdash; ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact.

Responsibilities:
<ul>
<li>Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction.</li>
<li>Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources.</li>
<li>Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies.</li>
<li>Automate recurring reporting and analytics processes using Python.</li>
<li>Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders.</li>
<li>Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge.</li>
<li>Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact.</li>
</ul>
Qualifications:
<ul>
<li>4+ years of experience in analytics, product analytics, data science or a related field.</li>
<li>Expert-level SQL (advanced queries, optimization, and performance tuning).</li>
<li>Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling.</li>
<li>Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake.</li>
<li>Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap.</li>
<li>Demonstrated ability to develop predictive models and apply statistical analysis in a business context.</li>
<li>Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses.</li>
<li>Strong communication and storytelling skills &mdash; able to present complex insights in a clear, actionable way to both technical and non-technical audiences.</li>
<li>Track record of working cross-functionally and managing multiple stakeholders and priorities.</li>
<li>Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field.</li>
<li>Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication</li>
</ul>
For residents of New York, New York the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors</div><div>

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.</div></div>

Senior Data Analyst

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; Business Analysis (AI Lead)
 
 
 
 
 
 
 you will be working directly with
 
 :
 
 
 MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 
 
 
 
 
 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,
 
 
 seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 
 
 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.
 
 
 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.
 
 
 
 
 
 Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 
 
 
 
 
 Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 
 
 To achieve this, we need an Analyst who can:
 
 
 Apply rigorous quantitative methods to client and business problems
 
 <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>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <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>
 
 
 Client Delivery Support
 
 
 <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>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <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>
 
 
 Measurement, Governance, and Controls
 
 
 <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>
 
 
 
 
 
 Ways of Working
 
 
 <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>
 
 
 
 
 
 Education
 
 
 <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>
 
 
 Experience
 
 
 <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>
 
 
 Core Skills
 
 
 <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>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <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>
 
 
 comfortable operating in a fast-paced, high-expectation environment
 </li>
 <li>
 Interested in applying quantitative methods to real commercial and client outcomes
 </li>
 </ul>
 
 
 
 
 Preffered skills:
 
 <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>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

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