Freelance Data Scraping Jobs

opportunity

Form production which can be via a microsoft app or similar

We are a construction company based in the UK. I would like to design the following form types under one system/software: Induction form for when first entering a construction site Signing forms for daily contractors to use when they turn up and leave each site, these to record per site and also have a main data base of the records. site audit forms Snagging forms If possible all the above to work off the same application. And have a management level so as key personal can update, then middle management can request data/records, with site staff being able to set up and manage at a local level. I would like a facility that i can add additional forms onto. also i would like to produce dash boards that show Financial KIPs in the office. We record most of these currently onto excel, but i want to have a visual update that can is easy to integrate and update. If possible with live information or by requesting data and updating

Prospect Intelligence Analyst | Research Assistant

ROLE OVERVIEW Our firm helps small service businesses in the US and UK identify and fix operational revenue leaks — the gaps that cause them to lose enquiries and bookings without realizing it. You sit at the front of our Prospect Machine. Each week you research small businesses, identify their primary revenue leak, score them, enrich decision maker contacts, and populate our structured prospecting tracker. Your output feeds directly to our Cold Caller and Business Systems Consultants. This is not a data entry role. It requires pattern recognition, fast decision-making from limited information, and the discipline to work at consistent pace to a fixed weekly deadline. CORE RESPONSIBILITIES • Source 150–200 raw businesses per week using scraping tools provided by company • Filter to 120–150 qualified SMBs • Review each business's online digital presence — website, booking system, social pages, and online reputation — and conduct test calls outside office hours to assess missed call risk and after-hours responsiveness. Identify the primary operational revenue leak based on what the evidence shows • Find and verify the decision maker via enrichment tools provided by company • Score each lead, flag Priority Leads, and escalate leads immediately • Populate the B2B Prospecting Tracker • Submit all deliverables via agreed upon platform and time. Onboarding Ramp Week 1— 50–60 leads, research and tracker only. Full SOP and training provided. Quality standards apply from day one. Week 2 onwards — Cold call script prep for top 20 Priority Leads added. Week 3 onwards — Industry community and directory identification added. REQUIREMENTS • Experience in B2B lead research, business intelligence, or structured data research • Able to make fast, confident decisions from publicly available data • Strong attention to detail — accurate entries matter more than perfect ones • Comfortable following a structured SOP independently, without frequent check-ins • Clear written and spoken English, with prompt communication COMPENSATION & STRUCTURE • $17.00/hr · 15 hrs/week · ~$255/week • Performance review at 45 days — rate increase available for strong performers HOW TO APPLY Begin your application with the word SIGNAL — applications that don't will not be reviewed. Then answer these two questions: 1. Describe a research or data project where you worked to a consistent weekly output target. What tools did you use and what was your weekly volume? 2. You're researching a dental practice. Their website has no online booking system — new patients are instructed to call during office hours only. There is no contact form and no alternative way to enquire outside of calling. In two to three sentences: identify the primary revenue leak, explain why it matters commercially, and give this lead a score out of 10 with a one-sentence justification. Note Question 2 has a clear correct answer. We are looking for specific, evidenced reasoning — not a general description of the problem.

Integrate 10 APIs into 3 Different categories on Wordpress

Integrate 10 APIs of 3 different categories into my wordpress website without the data slowing down the website nor the data going into the wrong category. please confirm how much you will do the entire integration and please confirm if you will be using plugin or fully coding. Thank you for your interest in this project. Please, I need someone who can help integrate APIs. 1. The APIs, when integrated, should pull the data and store it on my web platform so that it would be easy for visitors to access without having to request it every time. 2. The extracted data would be displayed on a WordPress directorist plugin. if you are using code or a plugin, please let me know. But importantly, the data pulled should be able to display I. The title II. The Overview (The initial part of the job information) III. More Information (Continuation of the extracted information) IV. Link to the job post to apply on V. The Logo, if available, if not, a default from file should be loaded. VI. The only jobs to be pulled are remote jobs in some twenty-something categories. 3. The data pulled from the APIs, when directed to the originating website, should not require a login for visitors to use or apply nor lead to a collection of other jobs but the job post alone. What is your best rate for the 10 APIs. Here are some I would like you to start with: https://rapidapi.com/Pat92/api/jobs-api14 https://rapidapi.com/fantastic-jobs-fantastic-jobs-default/api/active-jobs-db Online learning portals Greenhouse and other remote job boards, please let me know which you have sucessfully integrated and can do on directorist plugin on wordpress website Can you also work with XML feeds, if yes, please let me know your cost, if you can create a bot scrapper, how much? How many days will you be needing to get this done Thanks.

Online Research Assistant for Simple Data Collection

Project Description We are looking for a freelancer to assist with a small online research project. The task involves finding publicly available information online and organizing it into a spreadsheet. Tasks may include: * Searching for business or website information online * Collecting publicly available details * Entering the information into a spreadsheet * Organizing the data in a clear and structured format Requirements: * Basic internet research skills * Familiarity with Google Sheets or Microsoft Excel * Good attention to detail * Ability to follow simple instructions Budget This is a small fixed-price project with a budget between $40 and $120 depending on experience and completion time. Additional Information The task is expected to take a few hours. Detailed instructions and an example spreadsheet will be provided after the project begins. Please submit a short proposal describing any experience you have with research or data entry.

Repairs and Monitoring system

I require a designer to develop a simple, user-friendly Repairs and Monitoring system to manage walkabouts, repairs and health & safety issues across five accommodation schemes. Existing Excel spreadsheets define required data; the task is to integrate these into a cohesive solution—link sheets, create dropdowns, automate data population, implement tracking and status updates, and produce clear reports. The system must accommodate staff with limited computer skills, be reliable, and easy to maintain.

opportunity

AI Monitoring Platform for UK Company Alerts

Project Title: AI Monitoring Platform for UK Company Financial Distress & Insolvency Alerts (SIC-Based) Project Overview: I’m looking for an experienced developer (or small team) to build an AI-powered monitoring platform or intelligent agent that tracks UK companies within pre-defined SIC codes and automatically alerts me when there are signs of financial distress or insolvency. The system should continuously monitor company data, detect risk signals, and provide both real-time alerts and structured reporting. Core Objective: To proactively identify companies within selected industries that are: Experiencing financial decline (e.g. credit score drop) Entering insolvency processes (e.g. notice of intent to appoint administrators) Showing early warning signs of distress Key Functional Requirements: 1. Company Data Collection The platform must: Pull and maintain a live database of UK companies filtered by selected SIC codes Sources should include: Companies House API Commercial data providers such as Creditsafe, Experian, Dun & Bradstreet (or similar via API) 2. Data Monitoring (Automated & Ongoing) The system should periodically (daily or weekly) re-check and update the following: Credit score (via commercial providers) Filing timeliness (overdue accounts, confirmation statements, etc.) Insolvency indicators: Notice of Intent to Appoint Administrators Administration Liquidation CVAs Director changes: Appointments Resignations 3. Financial Data Enrichment (Important) Where available, the platform should also pull and display from latest filed accounts: Turnover / Revenue Balance sheet data (e.g. total assets, liabilities, net assets) This can be sourced from: Companies House filings (accounts data) Or via commercial data providers if more structured/standardised 4. Alert Triggers The platform must generate alerts when: A company’s credit score drops by 5% or more Include the exact percentage drop in the alert Any insolvency-related event is detected, including: Notice of Intent for Administration Administration Liquidation 5. Alert Delivery Alerts should be sent via: Email (minimum requirement) Ideally also: Slack / Microsoft Teams Web dashboard notifications 6. Reporting (Key Requirement) The system must automatically generate and send: Daily report Weekly report Monthly report Each report should be delivered as a spreadsheet (Excel or Google Sheets) and include: Columns to include (minimum): Company Name Company Number SIC Code Date of event/activity Type of event (e.g. credit score drop, insolvency notice, director change) Previous credit score New credit score % change in credit score Filing status (on time / overdue) Insolvency status Director changes (summary) Turnover (latest available) Key balance sheet figures (assets, liabilities, net position) Reports should clearly show date-stamped activity and allow filtering/sorting. 7. Dashboard / Interface (Preferred) A simple dashboard to: View and filter companies by SIC code Track alerts and risk levels View historical changes and trends Export data 8. AI / Intelligence Layer (Optional but Preferred) Identify early warning signals before insolvency Highlight patterns (e.g. repeated late filings + score decline) Rank companies by risk level or likelihood of distress Technical Requirements: Experience integrating APIs (Companies House + credit agencies) Ability to build automated data polling (scheduled jobs) Cloud-based database and infrastructure Alerting and reporting automation Scalable architecture Data Sources (Must Be Used): Companies House API (free, primary source) Commercial credit data providers such as: Creditsafe Experian Business Dun & Bradstreet Please advise on: Best provider(s) to use API access requirements Ongoing data/licensing costs Deliverables: Fully functioning monitoring and alert system Automated reporting (daily, weekly, monthly) Spreadsheet output format Documentation and user guidance Ability to adjust SIC codes and thresholds Optional ongoing support Nice to Have: CRM integration (e.g. Zoho) Webhooks for automation Customisable reporting Data visualisation Budget & Timeline: Open to proposals – please include: Estimated cost Timeline Recommended tech stack Relevant experience / similar projects

opportunity

Simplifying our Master pricelist

We require an expert to streamline our Master pricelist spreadsheet. The workbook contains extensive data, numerous VLOOKUP operations, and synchronization with our Sage database via the "Sage Data" sheet. Despite a reduced upload copy, the file remains sluggish—taking over a minute to open and delay when saving/closing. Deliverables: optimize formulas, restructure for performance, implement efficient lookup/indexing strategies or Power Query/SQL alternatives, and provide a lean, responsive workbook with documented changes and recommendations.

Sales Admin Staff for CRM Systems

2 people who have experience of working through any system preferably a CRM system to: Check Sales Leads are automated via CRM system. Follow up those that are not Ensure to re-target any with invalid or no response or error messages Follow up directly with those who have not booked Cleanup Data and ensure each next month is optimized to achieve maximum conversions.

Xero project move

Require an experienced Xero specialist to manage a seamless migration between Xero organizations. Project involves transferring three companies, ensuring accurate migration of charts of accounts, historical transactions, bank reconciliations, payroll data, invoices, and attachments. Successful candidate must demonstrate prior Xero-to-Xero migration experience, meticulous attention to detail, strong reconciliation skills, and ability to validate data integrity post-migration. Deliverables include documented migration plan, completed transfers, reconciliation reports, and resolution of discrepancies.

opportunitypre-fundedurgent

Shopify Web Designer / Developer Needed (UI/UX + Features)

We want to make clear our budget is not up for negotiation at this time. Our Project consist of taking current template and building a new one modified or a new updated theme. Current setup is outline here. We use Flxpoint which has been mapped correctly. 98% of all the data is taken care of already. All data point for the descriptions and mapping are controlled from Flxpoint. - The part that must be done here is all that information needs to lay out in a expert organize design for each product page and all others styles. Focus of the project is the building, structuring and design of the site whatever else required. Scope of Work 1. UI/UX Design & Frontend Development Architect and implement a high-performance, conversion-optimized user experience Design scalable navigation and taxonomy for: 30,000–65,000 products 150,000+ images and product assets Develop or heavily customize a Shopify theme with: Mobile-first, responsive design Optimized product discovery (search, filters, categories) Clean, modern UI aligned with adult retail standards Ensure accessibility, usability, and intuitive customer flows 2. Backend Architecture & Data Integration Integrate with an existing data warehouse (pre-mapped product data) Implement real-time or near real-time data syncing for: Product feeds Inventory updates (drop-shipping model) Pricing and availability Ensure robust data mapping and normalization between source feeds and Shopify 3. App & API Integrations Configure and integrate third-party systems including: Payment gateways Inventory and order management systems Google services (Analytics, Tag Manager, Shopping feeds) AI assistant / automation tools Develop custom middleware or private apps where required 4. Performance Optimization Optimize for: Page speed (Core Web Vitals) High-volume image delivery (CDN, lazy loading, compression) Efficient Liquid rendering and API calls Streamline checkout experience to maximize conversion rates Implement advanced caching and performance strategies 5. Project Management & Delivery Provide structured project governance: Defined milestones and timelines Regular stakeholder communication Agile or sprint-based delivery model Conduct: QA testing (functional, regression, performance) UAT support prior to launch 6. Maintenance & Ongoing Support Post-launch support including: Debugging and issue resolution Feature enhancements Platform updates and optimization Required Team Composition We will only engage with teams or agencies capable of covering all functional areas: Shopify Developer(s) Expertise in Liquid, custom theme development, and backend logic UI/UX Designer Proven experience designing high-SKU e-commerce experiences Project Manager Responsible for delivery, communication, and scope management Technical Requirements Shopify / Shopify Plus experience (strongly preferred) Proficiency in: Shopify Liquid HTML5 / CSS3 JavaScript (React, jQuery or similar frameworks) API integrations Git/version control Experience handling: Large-scale product catalogs High-volume image optimization Drop-shipping workflows Vendor Qualification Criteria We are not evaluating based on public URLs alone. All applicants must provide: Verifiable, real project evidence, including: Code samples (where permissible) Architecture breakdowns Before/after performance metrics Detailed case studies of past builds Demonstrated experience delivering complex, high-scale e-commerce platforms Key Success Factors Scalable architecture capable of handling large datasets Clean, intuitive UX that drives conversion Reliable integration with live product feeds Strong communication and structured execution Ability to deliver a production-ready platform end-to-end

opportunity

Data Entry + Web Research: Add Hotels & Restaurants

We’re building a global hotels & restaurants review platform and need a reliable assistant to add venues and complete their profiles so users can review them. This is ongoing work. We’ll start with a paid test batch, and if quality is strong we scale weekly. What you will do For each hotel/restaurant you will: Add the venue to our platform Fill in profile details accurately: Name Full address + city + country Category (hotel/restaurant + type) Website Phone (if available) Opening hours (restaurants) Short description (2–3 sentences, clean English) 5–10 high-quality photos (from official sources only, with links saved) Social links (Instagram/Facebook if available) Ensure formatting is consistent and error-free Rules (important) Accuracy > speed (no wrong addresses, no fake info) Use official sources first (official website, Google Maps, official social pages) Don’t upload random copyrighted images from blogs—use official/press/Google Business where allowed and always save the source link Every entry must be clean, consistent, and review-ready Starting Scope (Test) 50 venues as a paid test (mix of hotels + restaurants) If quality is good: 200–500 venues/week ongoing What I need from you You are detail-obsessed Strong English writing (short descriptions) Fast, accurate web research Comfortable with spreadsheets + admin dashboards Deliverables Completed venue profiles in the platform A Google Sheet log with: Venue name Link to the profile on our site Source links used (website, maps, photos source) To apply, answer these Have you done similar work (directory listings / web research / data entry)? How many venues can you do per day while staying accurate? Confirm you can follow strict formatting and provide a source link for photos/info. Your price for the first 50 venues (fixed) and your price per 100 after. Bonus (optional) If you can also find direct contact emails for owners/managers, mention it.

opportunity

Extract blood test data from PDF documents that have been OCR'd

The objective is to build a structured blood test database that allows pathology results to be viewed, edited, filtered, and exported to Excel via a web-based HTML interface. The system stores results in a clean, standardised format so trends can be analysed accurately over time. Using AI-assisted OCR, I have built a local Python extraction pipeline that converts PDF pathology reports into machine-readable text and inserts structured data into a SQLite database. The majority of blood tests extract correctly, including canonical test name, result value, unit, and reference range. However, I have reached a specific technical issue with three markers: • CRP (C-reactive protein) • ESR • GLU (Glucose) The OCR output clearly contains the correct lines, and debug logs confirm they are processed. Yet no rows are inserted for these markers. The failure appears to occur between canonical matching, numeric extraction, or validation logic. Current System Architecture The system runs locally and consists of: • extraction_core_2.py (main engine) • Supporting modules for OCR preprocessing, lab dictionary building, regex matching, and validation • SQLite backend • Schema-driven canonical lab dictionary • Controlled fuzzy fallback logic • HTML viewer for results display and Excel export Pipeline flow: Convert PDF to image (pdf2image) Preprocess Run Tesseract OCR Clean and normalise text Match against canonical lab dictionary Extract: canonical test name numeric result unit reference range Validate Insert into SQLite The engine is deterministic and rule-based. The Specific Problem Example OCR line: CRP H 5.2 mg/L 0-5 OCR text is correct. NUMBER_PATTERN matches. The canonical dictionary contains the test. Yet: Inserted 0 rows from 0126251OrderReport_23B00006604_CRP.pdf Likely failure points include: • Canonical containment match failing due to normalisation • Flag tokens (“H”, “L”) interfering with numeric capture • Numeric extraction anchored incorrectly • Validation rejecting due to strict range formatting • Unit pattern mismatch (e.g. mmol/L) • Dictionary indexing issue • Match overridden by another lab name • Guard conditions too strict If validation fails, the row is rejected silently. All other panels extract correctly. The issue appears isolated. What Is Required This is not a rebuild. We do not want: • Re-architecture • Experimental AI guessing logic • Large-scale changes • Expanded fuzzy matching We need: 1. Precise Diagnosis Identify exactly where CRP, ESR, and GLU are failing insertion and which rule is causing rejection. 2. Minimal Safe Fix Implement a targeted correction that: • Adjusts canonical matching if required • Anchors numeric extraction correctly • Allows flag tokens without blocking capture • Relaxes only necessary validation checks • Preserves deterministic behaviour 3. Zero Regression • No impact to currently working panels • No performance degradation • No uncontrolled fuzzy expansion 4. Modular Implementation If appropriate: • Implement as small isolated module or • Cleanly adjust matching block The existing architecture should remain intact. Constraints The system is designed to be: • Deterministic • Schema-driven • Reproducible • Forensic-grade We cannot introduce probabilistic or unpredictable behaviour. Longer-Term Goal After stabilising extraction: • Migrate to web deployment • Enable structured uploads • Add trend analysis • Later incorporate AI-assisted interpretation Immediate priority: Stabilise deterministic extraction for CRP, ESR, and GLU without breaking the existing engine. Materials Provided Uploaded: • Full extraction_core_2.py (text format) • Screenshot of HTML viewer • Sample PDF files • Export showing required output Additional materials available on request: • Sample OCR blocks • Canonical dictionary entries • Regex patterns • Validation logic • Database schema • Debug logs This is a focused debugging and refinement request. I have spent many hours attempting to isolate the issue and now require an experienced developer to identify the blocking condition and implement a practical fix. I have been advised this should take 1–2 hours for a senior developer. Looking for a swift turnaround.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

urgent

AI Marketing Implementation Specialist Thailand & UK Business

WHO WE ARE Peyton & Charmed Group is a multi-brand business operating between Thailand and the UK across 5 business units: - UK Student Accommodation (peytonandcharmedaccomm.co.uk) - UK Property Investment — integrated with Accommodation - Koh Chang Travel & Tours (kohchangthailandtours.com) - Private Land Transfers — currently Koh Chang to Bangkok route, growing nationwide - Bangkok City Stays (peytonandcharmedbkk.com) IMPORTANT — THIS IS NOT A SOCIAL MEDIA SETUP PROJECT We already have Facebook, Instagram and TikTok running across all business units. We do not need accounts created or basic profile work. We need an AI marketing implementation specialist to come in, build AI tools and workflows on top of what we already have, and hand everything over so our in-house team can run it themselves. WHAT YOU WILL IMPLEMENT - Audit our existing channels and identify gaps and opportunities - AI-powered content workflow — our team films, AI does the editing and posting - LLM-powered chatbots on Instagram, Facebook, LINE OA and WhatsApp — must understand natural language in English and Thai, not basic keyword bots - Scheduling and auto-posting across all platforms - Analytics dashboard so we can track what is working - Brand kit and video templates per business unit - Content calendar system our team fills in weekly - Filming guide per business unit for our team TRANSFERS NOTE Transfers currently runs as one route — Koh Chang to Bangkok — promoted through our Koh Chang channels. Phase 1 is to cross-promote this within Koh Chang content. A standalone Transfers setup is a future phase and not in scope for this project. TOOLS We are not fixed on specific tools. Recommend whatever AI tools you believe will work best for us and include the costs in your proposal. We own CapCut Pro and want it included where possible. TIMELINE — URGENT We need this completed within 2 weeks from start. Freelancers who can deliver faster will be given priority. WHEN APPLYING PLEASE INCLUDE - Examples of AI marketing systems you have implemented — not just social media management - Examples of LLM chatbots you have configured - Your recommended toolset with costs - Your fixed project rate - Your fastest realistic completion time We are two audiences — Thai families going to the UK, and international tourists coming to Thailand. Bilingual English and Thai strongly preferred. Need a quotation and road map - the follow a must DATA ANALYSIS & CUSTOMER PERSONA REPORTS This is a core requirement of the project, not an optional extra. We need the freelancer to conduct full data analysis across all our existing social media channels and customer data for each of our 5 business units. From this data analysis you must produce detailed customer persona reports that identify exactly who our customers are, what drives them to buy, what stops them buying, and how we can upsell and cross-sell our services across all business units. Data analysis deliverables required: - Full data analysis of existing social channels, audience insights and engagement patterns per BU - Customer persona report per BU based on data analysis findings - Buying trigger report — what motivates each customer type to purchase - Upsell and cross-sell opportunity map across all 5 BUs - Customer journey map per BU showing where we are losing potential customers - Ongoing data analysis system so our team can track and update this over time All data analysis and persona reports must be delivered by Day 3-5 of the project as they drive everything else — content, chatbots, strategy and messaging. Content without data analysis is just guesswork. When applying please include examples of data analysis reports and customer persona work you have completed for other businesses.

opportunity

AI OPERATIONS EXPERT

I need an AI operations expert to streamline marketing and operations across Amazon, Etsy, TikTok Shop, website, eBay, Facebook and Instagram. Clone and redeploy unified marketing assets, design automated funnels to convert social followers using chatbots and dynamic offers, monitor and optimize the AI stack (data pipelines, prompt tuning, insights), ensure brand-review compliance, enable end-to-end attribution, deliver dashboards and weekly reports, and document SOPs for junior staff.

Freelance Sales Support Assistant

I'm looking for an experienced Freelance Sales Support Assistant to support the sales team with research, data management, and coordination. What you'll do: • Research and identify potential prospects and key decision-makers • Qualify contacts and ensure they align with the Ideal Customer Profile • Manage and organise follow-up sequences to maintain engagement • Support the sales team with reporting and administrative tasks If you're organised, detail-oriented, and experienced in sales support, send me a proposal!

Input property details

I need two properties added to the management website https://www.landlordvision.co.uk/ If you are famililar with UK property, that would be perfect! But no essential. The priority is someone who knows computers, websites and data entry and can do so for cheap.

opportunity

Sales Dashboard for 6–8 Sales Reps with Comm Forecast, Analytics

I am looking for a freelancer to build a visual and user-friendly sales dashboard for a team of 6 to 8 sales representatives. The goal is to create an informative dashboard that allows each salesperson to access their own interface and analyze their performance in a clear and practical way. The dashboard should include, at minimum, the following features: • Individual view for each salesperson • Filtering and analysis by month, year, and fiscal year • Fiscal year comparison based on an accounting period from July to June • Year-over-year comparison • Top clients • Top clients by client type • Top-selling products • Department-based organization and reporting • Ability to select a client and view all related orders • Estimated next commission calculation based on formulas already defined • Clear visual presentation with charts and graphs • Maximum readability and usefulness for business decision-making Important notes: • I already have the commission calculation rules and logic • My current data and calculations are managed in Google Sheets, including scripts • I need a freelancer who can either build directly from Google Sheets data or propose the best tech stack compatible with it • The final solution must be reliable, easy to use, and easy to update What I expect from your proposal: • Your recommended technology stack for this project • Whether you would build it directly from Google Sheets, Google Apps Script, Looker Studio, Power BI, or another solution • The estimated delivery timeline • The main project phases • Examples of similar dashboards you have already built • How you would structure user access if each salesperson needs their own view

Virtual Assistant (Admin & Reporting)

Job Title: Virtual Assistant (Admin & Reporting) Location: Remote Type: Ongoing / Part-Time (PeoplePerHour) Overview We are looking for a reliable and detail-oriented Virtual Assistant to support our business with weekly reporting and general administrative tasks. This is a consistent, long-term role suited to someone who is organised, efficient, and able to work independently. Key Responsibilities Compile and produce weekly reports using provided data Gather information from multiple sources and present it clearly Carry out general, non-specific administrative tasks as required Maintain accurate records and documentation Support the wider team with ad hoc tasks Requirements Strong attention to detail and accuracy Experience creating reports (Google Sheets, Excel or similar) Ability to organise and present data in a clear, structured format Good written English Reliable, proactive, and able to work without close supervision Comfortable handling repetitive and varied admin tasks What We’re Looking For Highly organised and methodical Fast and efficient with admin work Able to follow instructions and also think independently Consistent and dependable How to Apply Please include: Examples of reports you have created (if available) Your experience with admin and data handling Your availability (hours per week) Tools/software you are comfortable using This role is ongoing and will suit someone looking for stable, repeat work with clear expectations.