We are looking for someone to help diagnose an issue with how our database is attributing purchases from Meta ads. Meta is currently our only paid advertising channel, yet our database is attributing 90%+ of our sales to Google Search. Because our Meta funnel is complex, we need to understand where our attribution or UTM tracking may be breaking down. We need someone who can: * Review how our database captures and populates Meta/Facebook UTM and source data. * Identify where attribution may be lost, overwritten, or incorrectly classified. * Challenge our current tracking logic and determine the likely cause of the discrepancy. * Recommend specific changes to correct the issue. Our database is managed by a third-party vendor, so you will not need to implement the changes. Your findings and recommendations will be provided to their team for implementation.

A Credit Analyst within the Underwriting Department of a merchant services company is responsible for evaluating the financial risk associated with prospective and existing merchant accounts. The role involves reviewing merchant applications, credit reports, bank statements, financial statements, processing history, transaction volumes, average and high-ticket amounts, chargeback activity, and the merchant’s overall business model to determine the company’s potential financial exposure. Credit Analysts assess a merchant’s ability to support potential chargebacks, refunds, and future-delivery obligations and identify risks related to financial instability, excessive processing exposure, or unusual account activity. Based on their analysis, they make recommendations regarding approvals, processing limits, reserves, funding restrictions, additional documentation, or other risk-mitigation measures while balancing responsible risk management with the company’s ability to successfully board and support merchants.

We need a supply chain analyst to evaluate risks for a rapidly growing product line. The work includes reviewing supplier capacity, quality performance, and delivery reliability to identify potential bottlenecks and forecast where suppliers may struggle as demand increases. You will analyze current supplier data, assess risk factors, and provide recommendations to improve supply chain resilience. This is a short-term project for someone who can quickly assess supplier performance and recommend practical risk mitigation actions.

Freedonia Strategic Insights is a trusted provider of custom market intelligence and strategic research for leading companies across a wide range of industries. Backed by decades of experience and a reputation for objective, high-quality analysis, our team delivers actionable insights through proprietary research methodologies, demand modeling, forecasting, competitive intelligence, and value chain analysis. We are currently building a network of experienced contract research analyst contractors to support ongoing and upcoming custom research and demand analysis projects across multiple industrial and B2B sectors. This role is ideal for analytical professionals with specialized industry expertise who are interested in flexible, project-based work with the potential for recurring assignments. Preferred Industry Experience We are particularly interested in candidates with experience in one or more of the following sectors: - Building & Construction Materials (examples: roofing, pipe, insulation, countertops, flooring, siding) · Energy (examples: batteries, renewable energy, wind power, energy storage technologies) · Industrial Equipment & Machinery (examples: power tools, agricultural equipment, industrial machinery, manufacturing equipment) · Packaging (examples: flexible packaging, disposables, paper & pulp, industrial/B2B packaging) Key Responsibilities Develop and maintain demand and supply forecasting models to support strategic decision-making Conduct market sizing, segmentation, competitive intelligence, and value chain analyses Analyze industry trends, economic indicators, and customer demand patterns Build and manage advanced Excel-based models, datasets, and reporting tools Support custom research projects through quantitative and qualitative analysis Collaborate with research teams to deliver actionable client insights Present findings and recommendations clearly to internal and external stakeholders and project teams Qualifications Bachelor’s degree in Economics, Finance, Business, Statistics, Market Research, or a related analytical field required Minimum of 3 years of experience in market research, forecasting, demand analysis, strategic analysis, or related consulting/research roles Strong experience with market sizing, competitive intelligence, and value chain analysis preferred Demonstrated expertise in economic/financial modeling and forecasting methodologies Advanced proficiency in Microsoft Excel, including financial and analytical modeling Strong logical reasoning, analytical thinking, and problem-solving capabilities Excellent written and verbal communication skills Prior experience within one or more target industry sectors strongly preferred B2B market research experience preferred Position Type Contract/freelance role Flexible remote work arrangement may be available Project-based assignments with the opportunity for ongoing collaboration Compensation is dependent on experience, industry specialization, and project scope Candidates with deep subject matter expertise may qualify for higher compensation ranges

Overview: This engagement is for a wellness company in Denver, CO. The company is building a prospect funnel to support an active capital raise. We're looking for an experienced, highly discreet research contractor to identify and profile the investors most likely to fund a project like ours — private equity firms, private placement groups, family offices, and sophisticated individual investors — and to map the relationships around each one so that a single good contact opens the door to several more. This is a research role: the contractor sources, verifies, and organizes prospect intelligence for The company's principals to act on. It does not involve outreach, solicitation, or negotiation with prospects. Key Responsibilities: Phase 1 — Market & Value Proposition Segmentation Segment the addressable investor market by value proposition, mapping which categories of capital (equity firms, private placement networks, family offices, high-net-worth individuals) are aligned with The company's investment thesis Establish the target raise size and identify the national universe of investor types who typically write checks at that size and stage Phase 2 — Firm & Investor Identification Identify specific equity firms, private placement groups, family offices, and individual investors whose stated focus, prior deals, or public commentary align with The company's value proposition Build structured profiles for each target: investment thesis, check size, decision-makers, and prior relevant deals Phase 3 — Principal & Network Deep-Dive Research the principals behind each identified office — what they personally invest in, what boards or organizations they sit on, and what other groups they're affiliated with Identify co-investors, syndicate partners, and other groups that have participated in similar projects, and trace those relationships to surface additional prospects Continue this relationship-mapping process outward from each confirmed contact to keep expanding the pool of qualified prospects Phase 4 — Funnel Documentation Maintain an organized, continuously updated prospect database with sourcing rationale, relationship paths, and priority tiering Deliver periodic written summaries of findings and recommended next targets to The company's principals Please review role PDF for full description.

Operations Analyst Greene & Scale Operations Contract | Remote | Part time, ongoing ABOUT THE PRACTICE Greene & Scale Operations is a fractional operations and supply chain practice working with multi-brand consumer packaged goods portfolios across direct to consumer, Amazon, and retail. Engagements run three to six months and center on landed cost, inventory and demand planning, carrier and vendor economics, fulfillment performance, and the systems underneath all of it. THE ROLE This role builds the analytical foundation those engagements rest on. You will not be client facing and you will not be asked to form the recommendations. You will build the baselines, comparisons, and models the recommendations are drawn from, working from a written brief and a template rather than live direction. WHAT YOU WILL DO • Build operational baselines by brand: landed cost per unit, cost per order, inventory position, days of supply, near stockout history, on time fulfillment • Consolidate freight, packaging, and materials spend across multiple brands into a single comparison structure • Carrier rate benchmarking and lane level cost analysis, including zone and weight break comparisons • Build and maintain vendor, co-manufacturer, and third party logistics term comparison matrices • Research and feature compare ERP, order management, and demand planning platforms against a defined requirements list • Clean and normalize SKU, item, and inventory data arriving as inconsistent spreadsheets from separate brands • Assemble data packets and supporting exhibits ahead of client working sessions WHAT YOU NEED • One to three years in supply chain, logistics, operations analysis, freight, third party logistics, or a similar analytical operations role • Advanced Excel or Google Sheets: pivot tables, lookups, nested logic, and models built so someone else can follow them • Comfort with messy source data, and the judgment to flag what looks wrong rather than quietly averaging over it • Able to take a written brief and a deadline and produce finished work without live supervision • Available for one scheduled 30 minute sync per week, mornings United States Eastern HELPFUL, NOT REQUIRED • Consumer packaged goods, direct to consumer, or Amazon exposure • Familiarity with EDI transaction sets, retailer compliance, or GS1 labeling • Hands on time in an ERP or order management platform • Cold chain, frozen, or refrigerated logistics TERMS Structure Independent contractor, remote, invoiced monthly. Hours 15 to 20 per month to start, assigned against active client engagements. Hours are not guaranteed and vary month to month with the engagement calendar. Rate $35 to $45 per hour depending on experience. Term Initial term through December 31, reviewed in January. Either party may end the arrangement on fourteen days written notice. Confidentiality A signed contractor agreement including confidentiality and assignment of work product is required before any client data is shared. HOW TO APPLY Send a short note covering the most analytically demanding operations work you have done, the tools you used, and your availability. No cover letter. Shortlisted candidates are paid for a three hour trial task before any ongoing arrangement begins. The trial uses anonymized data, is a realistic version of the actual work, and is paid at the agreed hourly rate whether or not it leads to further work. **Timeline: applications reviewed the week of August 24, paid trial tasks the first week of September, decision by September 15, work begins October 1.

JOB DESCRIPTION SUMMARY The Business Analyst, Source-to-Pay (S2P) supports ISOC's S2P project within the wider ERP Simplification Program led by Technology Solutions & Services (TSS). This role drives current-state and future-state mapping, systems mapping, and requirements gathering across ISOC's full vendor management lifecycle, positioning ISOC to go to market for an appropriate S2P tool and identify vendors that meet its constraints, guiding principles, and business requirements. The vendor management lifecycle spans nine stages: Demand Management, Category Management, Sourcing / Market Scan, Vendor Selection, Contracting, Onboarding, Operational Procurement, Performance / Relationship Management, and Exit / Offboarding. These stages are underpinned by two cross-cutting layers: Vendor Management Governance and Reporting, and Vendor Risk Management. The Business Analyst is embedded in the S2P project working group and supports the project team through discovery, analysis, and vendor selection preparation. The Business Analyst will ensure that business needs are translated into functional requirements and that the solution aligns with organizational objectives. KEY RESPONSIBILITIES Lifecycle Process and Systems Mapping ● Gather, analyze, document, and validate business requirements for Source-to-Pay processes. ● Map current-state and future-state processes across all nine vendor management lifecycle stages: Demand Management, Category Management, Sourcing / Market Scan, Vendor Selection, Contracting, Onboarding, Operational Procurement, Performance / Relationship Management, and Exit / Offboarding ● Develop current-state and future-state RACI matrices for each lifecycle stage, engaging with cross-functional stakeholders, including but not limited to legal and compliance, finance, TSS, project/program teams, etc. ● Conduct systems and data mapping to document how existing tools and data support or constrain each stage Governance, Reporting, and Risk (Cross-Cutting Layers) ● Map Vendor Management Governance and Reporting across the lifecycle, including approval workflows, thresholds, financial controls, segregation of duties, audit trail, and management reporting requirements ● Map Vendor Risk Management across the lifecycle, embedding third-party risk and sanctions/denied-party screening and due diligence (relevant to ISOC's OFAC and export-control obligations) into onboarding and ongoing contract and vendor management ● Capture data privacy and security (non-functional) requirements applicable to vendor and contract data across the lifecycle Requirements Gathering and Go-to-Market ● Lead requirements gathering across all lifecycle stages and cross-cutting layers to support a go-to-market process for identifying potential S2P vendors ● Translate ISOC's constraints, guiding principles, and business requirements into structured documentation vendors can respond to ● Build a requirements traceability matrix (RTM), support RFI/RFP development, and design a weighted vendor evaluation and fit-gap scoring model Stakeholder Engagement ● Facilitate stakeholder sessions across TSS, Finance, Legal and Compliance, and business owners to validate current state and align on future state ● Communicate findings and recommendations clearly to technical and non-technical audiences Project Working Group Support ● Actively participate as a member of the S2P project working group ● Support the wider project team and TSS Lead throughout the project lifecycle QUALIFICATIONS ● Demonstrated business analysis experience on procurement or ERP transformation projects, ideally S2P-specific ● Working understanding of ERP, Source-to-Contract (S2C), Procure-to-Pay (P2P) (currently SAP Concur), and the integrated Source-to-Pay (S2P) cycle, in relation to the end-to-end vendor management lifecycle ● Experience mapping governance, controls, and third-party/vendor risk into sourcing, procurement and vendor management processes ● Ability to apply enterprise-grade expertise and right-size it to a small organization's process mapping needs ● Strong stakeholder management and facilitation skills ● Strong data mapping and system mapping capability and knowledge of APIs/Integrations. ● Strong analytical, problem-solving, and communication skills. ● Experience producing process maps, RACI matrices, requirements traceability matrices, and structured requirements documentation ● Proficiency with process-mapping tools (e.g., Visio, Lucidchart) and ISOC's stack (Smartsheet, Box, Google Suite) ● Preferred: ○ Prior S2P or sourcing/procurement system selection/implementation delivery; experience with nonprofit or mission-driven organizations ○ Experience working with global procurement organizations and supplier management processes. ○ Experience using Confluence EQUAL OPPORTUNITY STATEMENT The Internet Society is an equal opportunity employer. Employment selection and related decisions are made without regard to sex, race, age, disability, religion, national origin, color, or any other protected class.

We are seeking a skilled business analyst to perform application mapping for up to 20 applications. The ideal candidate will have experience in business analysis and application mapping, with the ability to handle multiple applications efficiently. The role involves understanding application functionalities and mapping them to business processes. Discovery on app locations and owners. This is a part-time engagement for 1 month with possibility of extension with follow on project. May require travel to NJ and Ohio. (Travel paid by company)

We are seeking an **extremely detail-oriented Data Analyst** to support the development of original data stories, rankings, and research projects. This role will be responsible for sourcing, cleaning, analyzing, and validating large datasets—particularly data from government agencies and other authoritative public sources—to uncover meaningful insights and develop accurate, defensible rankings. The ideal candidate has significant experience working with complex public datasets, including sources such as the **U.S. Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, CDC, FBI, Department of Transportation, and other federal, state, and local government databases**. They should be comfortable navigating government websites, APIs, downloadable data files, data dictionaries, methodology documentation, and datasets that may require significant cleaning or restructuring before analysis. Attention to detail is critical. The analyst will be expected to carefully validate data, identify inconsistencies or anomalies, understand changes in methodology or definitions across datasets and years, and ensure calculations can be independently reproduced. They should be comfortable questioning results that appear unusual and tracing numbers back to their original source rather than simply accepting outputs at face value. The candidate should be highly proficient in **Excel and Google Sheets**, including advanced formulas, lookups, pivot tables, conditional logic, data cleaning, filtering, joins, and working with large datasets. Experience with additional analytical tools such as **SQL, Python, R, Tableau, or similar platforms** is strongly preferred. This person will work closely with writers, editors, and digital PR teams to transform raw data into compelling, newsworthy stories. They should be able to move beyond simply producing calculations and help identify interesting patterns, regional differences, trends, outliers, and potential story angles within the data. Key responsibilities include: * Researching and identifying credible datasets from government agencies, academic institutions, nonprofits, and other authoritative sources. * Working extensively with U.S. Census Bureau data and similar large-scale government datasets. * Cleaning, standardizing, merging, and organizing data from multiple sources and formats. * Developing methodologies for city, state, metro, and national rankings. * Building scoring models, indexes, weighted rankings, percent changes, rates, per-capita metrics, and other calculations used in data-driven stories. * Creating clear, well-organized Excel and Google Sheets workbooks that allow calculations and methodologies to be easily reviewed and reproduced. * Performing rigorous quality assurance on datasets, calculations, rankings, and final results. * Cross-checking findings against source documentation and identifying potential errors, missing data, or methodological limitations. * Reviewing data dictionaries, technical documentation, survey methodologies, and definitions to ensure datasets are being interpreted correctly. * Identifying compelling findings, trends, correlations, geographic differences, and outliers that can become strong story angles. * Creating charts, tables, maps, and other visualizations that clearly communicate findings. * Documenting sources, calculations, assumptions, exclusions, and methodology for each project. * Collaborating with writers and editors to explain complex findings in a clear and accessible way. * Maintaining a very high standard of accuracy, particularly for studies that will be published and cited by journalists or other organizations. The ideal candidate will have: * Several years of professional experience in data analysis, research, data journalism, economics, statistics, or a related field. * Extensive experience working with **government and public datasets**, particularly U.S. Census Bureau data. * Advanced proficiency in **Excel and Google Sheets**. * Strong data-cleaning, validation, and quality-assurance skills. * Experience combining multiple datasets using geographic identifiers, FIPS codes, ZIP codes, metropolitan statistical areas, or similar geographic classifications. * A strong understanding of percentages, rates, averages, medians, normalization, weighting, indexing, and ranking methodologies. * The ability to identify when a result is statistically or logically suspicious and independently investigate the cause. * Experience creating data visualizations and presenting analytical findings clearly. * Strong documentation skills and the ability to create transparent, reproducible methodologies. * Excellent organizational skills and an exceptionally high level of attention to detail. * The ability to manage multiple data projects simultaneously while maintaining accuracy. * Strong communication skills and the ability to explain analytical decisions to nontechnical stakeholders. Experience supporting **data journalism, digital PR, SEO-driven research, or original research studies** is especially valuable. We are looking for someone who approaches datasets with curiosity and skepticism, cares deeply about accuracy, and can turn messy, complex information into reliable findings and compelling stories.

We need a data analyst to review merchant statements as they are uploaded and parsed into our data analytics dashboard. The role includes checking parsed data for accuracy, identifying issues, and helping improve the overall quality of the data flow. You should be comfortable working with merchant statement data and be very detail oriented. The role also includes adjusting parsing rules in Docparser and/ or customizing our existing AWS code that is also doing statement parsing. Experience with both is a major plus.