Political Data Analyst Intern Jobs in Florida (NOW HIRING)

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CAPTURE VARIABLES FOR BUSINESS RULES --- let jobLocationValue = ""; let countryRegionValue = ""; let regionValue = ""; let ipeLevelValue = null; let employeeGroupValue = ""; // --- INTERNAL USER VALIDATION VIA CUSTOM PLUGIN --- // Reads global flags injected by the authentication plugin let pluginWindowCheck = !!window.isSFInternalUser; let pluginSessionCheck = sessionStorage.getItem('SF_Internal_User') === 'true'; let isInternalPortal = pluginWindowCheck || pluginSessionCheck; // Iterate through all tokens to capture their values before manipulating the DOM allTokens.forEach(el => { let labelEl = el.querySelector('.joblayouttoken-label'); if (!labelEl) return; let labelText = labelEl.innerText; let propId = generatePropertyId(labelText); let valueEl = el.querySelector('.rtltextaligneligible'); let valueText = valueEl ? valueEl.textContent.trim() : ""; if (propId === "JobLocation") { jobLocationValue = valueText; } else if (propId === "CountryRegion") { countryRegionValue = valueText; } else if (propId === "Region") { regionValue = valueText; } else if (propId === "IPELevel") { let match = valueText.match(/\d+/); if (match) ipeLevelValue = parseInt(match[0], 10); } else if (propId === "EmployeeGroup") { employeeGroupValue = valueText.toLowerCase(); } }); // --- 2. BUSINESS RULES VALIDATION --- let isSalaryPaid = employeeGroupValue.includes('salary'); let isIpeValid = ipeLevelValue !== null && ipeLevelValue <= 61; // Normalize locations for matching let fullLocationLower = (jobLocationValue + " " + countryRegionValue).toLowerCase(); let isUSJob = fullLocationLower.includes("usa") || fullLocationLower.includes("united states"); let allowedUSStates = ["california", "colorado", "delaware", "hawaii", "illinois", "maryland", "massachusetts", "minnesota", "nevada", "new jersey", "new york", "vermont", "washington", "d.c."]; let allowedUSAbbr = ["ca", "co", "de", "hi", "il", "md", "ma", "mn", "nv", "nj", "ny", "vt", "wa", "dc"]; let allowedGlobalCountries = ["austria", "slovakia", "lithuania", "latvia", "canada"]; // Salary Range Visibility Rule let isSalaryLocationValid = false; if (isUSJob) { let hasFullStateName = allowedUSStates.some(state => fullLocationLower.includes(state)); let hasStateAbbr = allowedUSAbbr.some(abbr => { let regex = new RegExp(`\\b${abbr}\\b`); return regex.test(fullLocationLower); }); isSalaryLocationValid = hasFullStateName || hasStateAbbr; } else { isSalaryLocationValid = allowedGlobalCountries.some(country => fullLocationLower.includes(country)); } // Job Level Visibility Rule (Legacy locations + EER Region) let allowedJobLevelLocations = ["austria", "slovakia", "lithuania", "latvia"]; let isJobLevelLocationValid = allowedJobLevelLocations.some(loc => fullLocationLower.includes(loc)); let isEERRegion = regionValue.toUpperCase().trim() === "EER"; // Final flags to determine if the fields should be shown let showSalaryRange = isSalaryLocationValid && isIpeValid && isSalaryPaid; let showJobLevel = (isJobLevelLocationValid || isEERRegion) && isIpeValid && isSalaryPaid && isInternalPortal; // --- 3. TOKEN PROCESSING AND DISPLAY --- let keepAddingToGrid = true; allTokens.forEach(el => { // Stop adding elements to the grid once the job description starts if (!keepAddingToGrid || el.querySelector('[itemprop="description"]')) { return; } let labelEl = el.querySelector('.joblayouttoken-label'); if (labelEl) { let labelText = labelEl.innerText; let customPropertyid = generatePropertyId(labelText); // --- ABSOLUTE REMOVAL OF LOGIC-ONLY TOKENS --- if ( customPropertyid === "EmployeeGroup" || customPropertyid === "CountryRegion" || customPropertyid === "Region" || customPropertyid === "IPELevel" ) { el.style.display = 'none'; // Force visual hiding el.remove(); // Remove from DOM return; } // --- APPLY VISIBILITY BUSINESS FILTERS --- if (customPropertyid === "SalaryRange" && !showSalaryRange) { el.style.display = 'none'; el.remove(); return; } if (customPropertyid === "JobLevel" && !showJobLevel) { el.style.display = 'none'; el.remove(); return; } // Cosmetic adjustment for short labels if (labelText.includes("(Short)")) { labelEl.innerText = labelText.replace(/\(Short\)/g, "(s)"); } // Append custom icons based on the mapped property ID let elType = labelEl.nextElementSibling; if (elType) { let icon = ''; let iconUrl = ''; switch (customPropertyid) { case 'JobLocation': icon = 'glyphicon-map-marker'; break; case 'BusinessUnit': icon = 'glyphicon-briefcase'; break; case 'JobCategory': icon = 'glyphicon-dashboard'; break; case 'EmploymentType': icon = 'glyphicon-star-empty'; break; case 'ReqID': icon = 'glyphicon-calendar'; break; case 'WorkLocationType': icon = 'glyphicon-paste'; break; case 'JobLevel': iconUrl = 'https://rmkcdn.successfactors.com/ef55fddb/b4cf3492-3cb2-4e29-a914-3.png'; break; case 'SalaryRange': iconUrl = 'https://rmkcdn.successfactors.com/ef55fddb/3bd06ab1-e5dc-4e72-abcb-3.png'; break; case 'TAPartner': iconUrl = 'https://rmkcdn.successfactors.com/ef55fddb/66a66419-f8c9-4f0e-b94a-6.png'; break; default: icon = ''; } let iconHtml = ''; if (icon) { iconHtml = ``; } else if (iconUrl) { iconHtml = ``; } labelEl.parentElement.insertAdjacentHTML('beforebegin', `
${iconHtml}`); let wrapper = el.querySelector(`.job-token-${customPropertyid}-wrapper`); wrapper.appendChild(labelEl.parentElement); // Clean up empty text nodes let emptySibling = document.querySelector(`.job-token-${customPropertyid}-wrapper`).nextSibling; if(emptySibling && emptySibling.nodeType === 3) emptySibling.remove(); } // Flag to stop processing grid items when TA Partner is reached if (customPropertyid === "TAPartner") { keepAddingToGrid = false; } } grid.appendChild(el); }); }});/** * Robust Mapping Function * Scans the label for keywords, effectively bypassing any issues caused by translations. */function generatePropertyId(jobLayoutTokenLabel) { let normalized = jobLayoutTokenLabel.toLowerCase(); // Helper function to search for keywords regardless of formatting or active language const contains = (arr) => arr.some(keyword => normalized.includes(keyword)); if (contains(["employee group"])) return "EmployeeGroup"; if (contains(["ipe level", "ipe"])) return "IPELevel"; // Order matters: 'country' will correctly match 'country/region' if (contains(["country", "land", "país", "pays", "paese", "kraj", "krajina"])) return "CountryRegion"; if (contains(["region", "región", "région", "регион", "地区"])) return "Region"; if (contains(["posting job location", "joblokation", "job location", "jobsted", "arbeitsort", "ubicación", "site de l'emploi", "lokalizacja", "местоположение", "miesto", "职位地点", "sede di lavoro"])) return "JobLocation"; if (contains(["salary range", "recruitment salary", "løninterval", "gehaltsspanne", "przedział wynagrodzenia", "fourchette", "rango salarial", "mzdové rozpätie", "lønramme", "диапазон зарплаты"])) return "SalaryRange"; if (contains(["posting job level", "job level", "jobniveau", "joblevel", "nivel del puesto", "niveau du poste", "poziom stanowiska", "уровень должности", "úroveň pozície"])) return "JobLevel"; if (contains(["employment type", "ansættelse", "beschäftigungsart", "tipo de emprego", "type d'emploi", "rodzaj zatrudnienia", "тип занятости", "typ pracovného pomeru", "员工类型", "tipologia di impiego", "tipo de empleo"])) return "EmploymentType"; if (contains(["work location type", "arbejdsstedstype", "arbeitsmodell", "tipo de ubicacion", "emplacement de travail", "miejsca pracy", "формат работы", "výkonu práce", "工作地点类型", "modalità di lavoro"])) return "WorkLocationType"; if (contains(["job category", "jobkategori", "stellenkategorie", "categoría", "catégorie", "kategoria", "категория должности", "kategória", "职位类别", "area professionale"])) return "JobCategory"; if (contains(["business unit", "segment", "segmento", "firmaenhed", "unternehmenseinheit", "jednostka biznesowa", "сегмент", "业务板块"])) return "BusinessUnit"; if (contains(["req id", "rek-id", "kennung", "id de solicitud", "identifiant de la demande", "identyfikator", "идентификатор", "id pracovní pozície", "需求 id", "identifikačné", "id posizione", "requisition id", "stellen-id"])) return "ReqID"; if (contains(["ta partner", "partenaire ta"])) return "TAPartner"; // Default fallback if no keywords are matched return jobLayoutTokenLabel.replace(/[\s:\(\)\]\[]/g,'');}
Req ID: 51131
Job Location: Tallahassee, FL, US
Employment Type: Part Time
Segment: Danfoss Climate Solutions Segment
Job Category: Supply Chain and Operations
Work Location Type: On-site
Job Title: Data Analyst Intern - Global Sourcing
The Impact You'll Make
Join a team that is transforming supply chain decision-making through data, analytics, and AI-driven insights. As a Data Analyst Intern, you will work on meaningful projects that improve supplier performance, material availability, forecasting accuracy, and overall supply chain visibility.
This internship offers hands-on experience with Power BI, Excel, Python, AI agents, and Copilot technologies in a global supply chain environment. You will help turn complex data into actionable insights that support operational excellence and continuous improvement.
If you are curious, analytical, and excited about using technology to solve real business challenges, this is an opportunity to build valuable skills while making a measurable impact.
What You'll Be Doing

• Transform supply chain data from ERP systems, planning tools, and supplier reports into structured datasets that support business decisions.

• Create and enhance Power BI dashboards and visualizations that provide visibility into supplier capacity, material availability, quality performance, and customer-related metrics.

• Analyze large datasets to uncover trends, identify opportunities, and deliver insights that improve supply chain performance.

• Support the development of AI-enabled analytics solutions, including Copilot-based assistants, AI agents, and machine learning applications that enhance forecasting and decision-making.

• Partner with cross-functional teams to document processes, share best practices, and contribute to initiatives that improve on-time delivery, quality, and customer satisfaction.

What We're Looking For

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or a related quantitative field.

• Strong analytical and problem-solving skills with exceptional attention to detail.

• Experience using Microsoft Excel for data analysis, modeling, transformation, and reporting, including advanced formulas, Power Query, pivot tables, or automation tools.
• Proficiency with Power BI and the ability to create compelling dashboards, KPIs, and data visualizations.
• Familiarity with Microsoft Power Automate, the Microsoft Office Suite, and data analysis tools such as Python.

What You'll Get from Us

1. We promote from within and support your learning with mentoring, training, and access to global opportunities.
2. You'll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us.
3. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are.
4. You'll receive benefits like annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they're worth asking about-we think they're pretty great.

Ready to Make a Difference?
If this role excites you, we'd love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.
Our Commitment to Transparency
Salary ranges listed reflect only primary location and currency. For local salary ranges and specific benefits in your preferred hiring location, please ask your Talent Acquisition representative for more information.
The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Any benefits listed do not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.
Want to know more? Please visit our FAQ Page.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.
Information at a Glance