{"id":2452241,"url":"https://alion.io/job/savvital-supply-chain-forecasting-data-analyst-peru","title":"Supply Chain Forecasting & Data Analyst (Peru)","company":{"id":4416290,"name":"Savvital","domain":"savvital.us","url":"https://alion.io/company/savvital","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["PE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":56000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1713},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-13T14:15:01Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-21T16:49:25Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"ABOUT THE COMPANY\nSavvital is a forward-thinking organization that provides diversified services to small and medium-sized businesses in the international market, enabling them to build their future while benefiting from our customized solutions. Our team of educated experts are motivated individuals excited to handle tasks that add real capacity to a client's workday.\nOur mission is to provide affordable solutions to growing companies through strategic task delegation. We envision creating an ecosystem that resonates with the human touch every business needs.\nABOUT THE ROLE\nWe are looking for a highly analytical Supply Chain Forecasting & Data Analyst to support a growing supply chain and distribution operation.\nThis is a hands-on analytical role focused on turning historical sales and order data into demand forecasts, inventory insights, and actionable business recommendations.\nYou’ll work with large transactional datasets and be responsible for cleaning and validating data, identifying demand patterns, building forecasting models, analyzing SKU and customer behavior, and translating your findings into recommendations that business stakeholders can understand and act on.\nThis is not a data-entry or basic reporting role.\nWe’re looking for someone who can take raw, imperfect data, figure out what it is telling us, determine the right analytical approach, and build a reliable model from the ground up.\nWHAT YOU’LL BE DOING\nDemand Forecasting & Analysis\nAnalyze historical sales and order data to identify demand patterns and purchasing behavior.\nDevelop SKU-level and customer-level demand forecasts.\nBuild rolling 12 to 18-month demand forecasts using historical purchasing trends.\nAnalyze year-over-year demand and growth patterns.\nAnnualize year-to-date usage where appropriate.\nIdentify consistent, seasonal, sporadic, declining, and growing demand patterns.\nAccount for differences in units of measure, product categories, and customer purchasing behavior.\nIdentify unusual changes in demand, including spikes, drops, and zero-usage products.\nExcel Modeling\nBuild scalable forecasting and inventory analysis models in Microsoft Excel.\nUse advanced Excel functionality to transform raw transactional data into meaningful insights.\nDevelop formulas, calculations, PivotTables, lookups, and analytical logic to support forecasting.\nCreate recommendation logic that can identify opportunities such as:\nValidate with Customer\nIncrease Stocking\nMaintain Current Stocking\nEvaluate for Reduction\nBuild exception reporting and alerts for products requiring additional review.\nTest forecasting methodologies on representative datasets before scaling them more broadly.\nDocument formulas, assumptions, calculations, and methodology so models can be reviewed and maintained.\nData Management & Quality\nExtract, organize, clean, and validate large datasets from ERP and other business systems.\nWork with raw transactional data and identify inconsistencies, missing information, duplicates, and data-quality issues.\nDetermine how data issues may impact forecasting and analytical results.\nEstablish appropriate data-cleaning and validation processes.\nCommunicate data-quality concerns clearly to relevant stakeholders.\nInventory & Supply Chain Insights\nAnalyze demand trends to support inventory and stocking decisions.\nIdentify SKUs that may require increased or reduced stocking levels.\nEvaluate customer purchasing behavior and its potential impact on inventory requirements.\nIdentify products with declining, inconsistent, or unusual demand.\nSupport inventory planning and replenishment decisions through data-driven analysis.\nDevelop insights that help balance product availability with inventory efficiency.\nReporting & Business Insights\nCreate clear and easy-to-understand reports showing historical usage, demand trends, forecasts, and recommendations.\nTranslate complex analysis into practical commercial recommendations.\nPresent findings in a way that can be understood by non-technical stakeholders.\nHighlight key trends, exceptions, risks, and opportunities rather than simply presenting raw numbers.\nSupport the development of customer-facing inventory and demand reports.\nCollaboration & Ownership\nWork independently while collaborating with business and supply chain stakeholders.\nTake ownership of analytical projects from raw data through final recommendations.\nAsk the right questions when requirements or datasets are unclear.\nExplain your analytical approach and reasoning clearly.\nAdapt forecasting methodology when business requirements or data patterns change.\nCommunicate progress, challenges, and findings effectively.\nREQUIREMENTS\n3+ years of experience in supply chain analytics, demand planning, forecasting, inventory planning, operations analytics, or a closely related analytical field.\nHands-on experience with demand forecasting and/or supply planning.\nAdvanced proficiency in Microsoft Excel.\nStrong experience with:\nPivotTables\nXLOOKUP / INDEX-MATCH\nSUMIFS and advanced Excel formulas\nData cleaning and transformation\nTrend analysis\nGrowth-rate calculations\nForecasting models\nLarge datasets\nExperience extracting, cleaning, and analyzing data from ERP systems.\nAbility to build analytical models from raw transactional data rather than simply maintaining existing reports.\nStrong understanding of SKU-level demand and inventory concepts.\nStrong analytical reasoning and problem-solving skills.\nAbility to work independently with incomplete, inconsistent, or imperfect data.\nStrong written and spoken English.\nAbility to communicate analytical findings clearly to non-technical stakeholders.\nPREFERRED EXPERIENCE\nExperience with any of the following would be an advantage:\nMicrosoft Dynamics 365 Business Central\nPower BI\nInventory optimization\nDemand planning\nSupply planning\nSales & Operations Planning (S&OP)\nManufacturing\nWholesale or distribution\nIndustrial supply chains\nCustomer-level forecasting\nInventory replenishment models\nException and anomaly reporting\nCustomer-facing inventory or demand reporting\nExperience working with ERP-generated sales-order data and building forecasting or inventory models from transactional data is particularly valuable.\nTOOLS\nRequired:\nMicrosoft Excel\nPreferred:\nMicrosoft Dynamics 365 Business Central\nPower BI\nExperience with other ERP, BI, analytics, or cloud data platforms is also welcome.\nWHAT WE’RE LOOKING FOR\nWe’re looking for someone who can do more than build spreadsheets.\nThe ideal candidate is someone who:\nThinks analytically: Can look beyond the numbers and identify what they actually mean.\nBuilds from scratch: Comfortable starting with raw data and developing a model independently.\nQuestions the data: Doesn't automatically assume that every number is correct.\nUnderstands forecasting: Can explain why a particular methodology makes sense for a particular dataset.\nThinks commercially: Understands how forecasts and demand patterns translate into inventory and business decisions.\nCommunicates clearly: Can explain complex analysis without overwhelming stakeholders with technical details.\nTakes ownership: Can work independently without needing step-by-step instructions.\nPays attention to detail: Understands that small data issues can lead to significant forecasting errors.\nWHAT SUCCESS LOOKS LIKE\nWithin the initial engagement, you should be able to take raw sales and order history and build a reliable forecasting model that helps answer questions such as:\nWhat is this customer likely to purchase over the next 12-18 months?\nWhich SKUs are trending upward or downward?\nWhich products may require increased stocking?\nWhich products may be overstocked based on declining customer usage?\nWhich demand changes are unusual enough to require customer validation?\nWhat data or assumptions could affect the reliability of the forecast?\nSuccess isn't simply producing an Excel workbook.\nIt means producing analysis that leads to clear, practical recommendations and giving stakeholders enough context to understand why those recommendations were made.\nA NOTE ON EXPERIENCE\nWe’re looking for candidates with genuine forecasting and analytical experience, but we’re more interested in what you have actually built and worked on than simply the title on your resume.\nIf you've personally built forecasting models, worked with large ERP datasets, analyzed customer or SKU-level demand, or turned raw transactional data into inventory recommendations, we want to hear about it.\nBe prepared to walk us through a real example of your work, including:\nWhat data you started with → how you cleaned it → how you analyzed it → how you built the model → how you validated it → what recommendation or business decision came from it.\nCOMPENSATION & BENEFITS\nBase Salary: Market Competitive (determined by experience).\nAllowances: Premium Internet, Electricity, and Wellbeing allowances.\nGrowth: Annual performance-based increments and structured career progression.\nBonuses: Individual performance and team-based target bonuses.\n“Our motto from our inception has been to put our employees first! We value the uniqueness and experience each individual brings to the organization.”","description_format":"text","description_chars":9174,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Peru","iso":"PE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Professional Services","IT Help Desk & Service Desk","Virtual Assistant Services"],"lifecycle":[{"event":"open","at":"2026-10-13T15:05:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":7,"expected_fill_days":28,"reasons":["conf:2","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/savvital-supply-chain-forecasting-data-analyst-peru","json_url":"https://alion.io/job/savvital-supply-chain-forecasting-data-analyst-peru.json","meta":{"generated_at":"2026-10-21T19:23:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27435,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4416290},"rest":"https://alion.io/mcp/rest/get_company?id=4416290"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsavvital-supply-chain-forecasting-data-analyst-peru"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsavvital-supply-chain-forecasting-data-analyst-peru"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsavvital-supply-chain-forecasting-data-analyst-peru"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/savvital-supply-chain-forecasting-data-analyst-peru\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsavvital-supply-chain-forecasting-data-analyst-peru"}]}