Data Cleaning Freelance Jobs

Παρακαλώ ενημερώστε μας εαν σας ενδιαφέρει η πιο κάτω δουλειά με 4500 ευρώ gross και 13 μισθούς+ωφελήματα .
Είναι δύο (2) χρόνια, με δικαίωμα ανανέωσης για ακόμα ένα (1) χρόνο. Οι υπηρεσίες θα παρασχεθούν από την Κύπρο.

Skills: Dashboard, Microsoft Excel, Data Visualization, Tableau, Python, SQL, Business Intelligence, Data Modeling, Alteryx Analytic Process Automation Platform, Data Analysis, Data Cleaning, Data Science, ETL

### **Job Description: IT Integration ESG Tool Consultant**
WE ARE LOOKING FOR SOMEONE BASED IN ABU DHABI

#### **Position Overview:**
We are looking for a skilled **IT Integration ESG Tool Consultant** to assist in the design, deployment, and optimization of Environmental, Social, and Governance (ESG) software tools and systems. The ideal candidate will have a strong background in IT systems integration, ESG frameworks, and project management, ensuring seamless alignment of technology solutions with organizational ESG goals and compliance requirements.

---

#### **Key Responsibilities:**

1. **Consultation and Requirement Gathering:**
- Collaborate with stakeholders to understand ESG reporting and compliance needs.
- Analyze existing IT systems and processes to identify gaps and integration opportunities for ESG tools.
- Provide expert advice on ESG software solutions that align with the organization’s sustainability goals.

2. **Solution Design and Integration:**
- Design and implement ESG software tools, ensuring compatibility with existing IT infrastructure.
- Configure and customize ESG platforms to meet specific organizational requirements.
- Integrate ESG tools with data sources, analytics platforms, and reporting systems.

3. **Project Management:**
- Define project scope, deliverables, timelines, and budgets for ESG tool implementation.
- Lead cross-functional teams to deliver ESG solutions on time and within budget.
- Coordinate with vendors, developers, and internal stakeholders to ensure smooth deployment.

4. **Data Management and Analytics:**
- Establish data collection processes for ESG metrics from various sources.


5. **Training and Support:**
- Provide training and technical support to users on ESG tools and reporting processes.
- Develop and maintain documentation for implemented solutions and workflows.





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#### **Qualifications and Skills:**

- **Educational Background:**
- Bachelor’s degree in Information Technology, Computer Science, Environmental Science, or a related field (Master’s degree preferred).

- **Professional Experience:**
- Proven experience in IT systems integration, particularly in ESG tools or sustainability-focused solutions.
- Experience with data management, analytics, and reporting tools.

- **Technical Skills:**
- Expertise in software integration, API configurations, and IT system architecture.

- Proficiency in database systems, data visualization tools, and reporting software.

- **Soft Skills:**
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
- Project management skills with a focus on delivering client-centric solutions.



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This role offers an exciting opportunity to bridge IT expertise with sustainability initiatives, driving impactful change through technology and innovation.

Skills: Database, Data Structures, Data Cleaning

scrape all website data here: https://brokercheck.finra.org/ under section firm ( no need for individual) and add all to a clean excel file.

Skills: Scrapy, Python, Web Crawling, Data Cleaning

I'm in need of a skilled data analyst to process my survey data from Google Forms. The project involves data cleaning, statistical analysis, and presenting findings in an accessible format.

Key Responsibilities:
- Data Cleaning: Eliminate errors and organize data.
- Statistical Analysis: Use the most suitable software and methods for analysis.
- Presenting Results: Create clear bar and pie charts.
- Review and Finalize: Ensure accuracy before submission.

Ideal skills include proficiency in data analysis, experience with statistical software, and ability to present data clearly. The project has a 3-day deadline.

Skills: Excel, Statistics, Analytics, Statistical Analysis, SPSS Statistics

We are looking for an experienced Python developer to deduplicate a dataset of 4 million records that include first names, last names, and employer names. The dataset contains duplicates due to various reasons, such as spelling variations. The successful candidate will utilize Python libraries and algorithms to identify and remove duplicates effectively, ensuring data integrity. Strong attention to detail and experience with large datasets is essential. If you have a proven track record in data cleaning or processing, we would love to hear from you. Please share your experience in your cover letter.

Skills: Python, Data Scraping, API, Python Script

We are seeking a skilled Data Scraping Assistant to help gather and organize information from various online sources. The ideal candidate should have experience with web scraping tools and techniques, as well as a strong attention to detail. You will be responsible for extracting data, cleaning it, and preparing it for analysis. If you have a knack for finding data and can work efficiently, we would love to hear from you. Please provide examples of your previous work in data scraping.

Skills: Data Entry, Microsoft Excel, Data Scraping

We seek a detail-oriented and organized Data Entry Specialist to join our team. In this role, you will be responsible for accurately and efficiently inputting, updating, and maintaining data in our systems. You will ensure data integrity and assist in generating reports as required.

Responsibilities:
- Accurately enter data into databases and systems
- Verify the accuracy of data before and after input
- Maintain organized records for easy data retrieval
- Prepare reports or summaries based on the entered data
- Identify and correct any discrepancies in the data
- Assist with data cleaning and updating of old records
- Ensure confidentiality and security of sensitive information
- Collaborate with other departments to ensure data needs are met

Requirements:
High school diploma or equivalent (Associate's or Bachelor’s degree is a plus)
Proven experience in data entry or administrative roles
Strong attention to detail and accuracy
Proficient in Microsoft Office Suite (Excel, Word, etc.)
Experience with database management and data processing tools (preferred)
Strong organizational skills and ability to multitask
Excellent communication skills
Ability to work independently and in a team environment

Desired Skills:
Fast typing speed with high accuracy
Knowledge of data privacy laws (GDPR, etc.)
Familiarity with cloud-based systems and data management software
Ability to handle large amounts of data efficiently

Skills: Data Entry, Customer Service, Administrative Support, Accuracy Verification, CRM Software, Database, Google Docs, Microsoft Word, Microsoft Excel

We are looking for a detail-oriented Data Entry Expert to manage and input large sets of data accurately. The ideal candidate will have experience in data management tasks, including but not limited to data entry, data cleaning, and data organization. You will be responsible for ensuring data integrity and maintaining databases effectively. Attention to detail and proficiency in Microsoft Excel or Google Sheets are essential. If you are skilled at handling data and can work independently, we would love to hear from you!

Skills: Data Entry, Microsoft Excel, Accuracy Verification, WordPress

I'm looking for a freelancer who can assist me with my sales data. The tasks primarily involve data entry, data cleaning, and data analysis. The dataset is relatively small, with less than 1,000 rows.

Ideal skills for this project:
- Proficient in Microsoft Excel
- Experience in data entry
- Strong data cleaning skills
- Capable of performing data analysis

Please bid if you have the required skills and experience. Thank you!

Skills: Data Processing, Data Entry, Excel, Web Search, Data Mining

I currently have a project that requires the use of SPSS Statistics. I am looking for a professional who can help me with this project.

Key Skills:
- Proficient in using SPSS
- Strong understanding of statistical analysis
- Experienced in data visualization and hypothesis testing
- Expertise in data cleaning and preparation
- Able to work with survey data, experimental data, and existing datasets

Experience:
- Previous projects involving SPSS and statistical analysis
- Proven track record in data-driven decision making
- Ability to deliver clear and comprehensible data reports.

Skills: Statistics, SAS, Analytics, Statistical Analysis, SPSS Statistics

I am looking for an experienced web scraper to extract specific rental propsal in London. The goal is to get a list of apartments in specific locations with details such as:

Link
Address
Monthly price
Property type
Apartment size
Coordinates
Deposit
Date available to rent
etc.

Sites to work with: rigthmove, openrent.
Scope: about 1000 items per site.
Result format: Data should be delivered in a structured CSV format, ready for pandas/numpy analysis.

Key requirements:
- The ability to collect not only the pages of the specific rentat offer, but also the search results of these sites!
- Experience with handling CAPTCHA or IP blocking etc.
- Familiarity with data cleaning and structuring.
- Experience in handling large-scale data sets from different sources.

Skills: Data Entry, Data Scraping, English

email marketing out reach for the optical store in San Francisco

Skills: Data Entry, Data Mining, List Building, Online Research, Lead Generation, Data Cleaning, Prospect List, Prospect Research, CRM Software, Email List, Virtual Assistance, Company Research, B2B Lead Generation, LinkedIn Lead Generation, Influencer Research

I am seeking a detail-oriented freelancer to assist with a contacts cleanup project. The task involves organizing and consolidating contacts across my Apple and Google accounts from three different email addresses.

Project Overview:
I need someone to clean, update, and enrich my contact list to ensure it is accurate, organized, and ready for integration with the Clay platform. This includes consolidating data from multiple sources, collecting updated contact information, and preparing a final clean CSV file for import into Clay.

Project Goals:
Consolidate contacts from Gmail, upshift partners, and jttlife.com accounts into one clean list.
Collect updated contact information from my network using an online form.
Deduplicate, clean, and enrich the contact list with missing details.

Provide a finalized CSV file that is ready for import into Clay.
Scope of Work:
1. Export Existing Contacts
Export contacts from:
Gmail (Google Contacts)
jttlife.com (Google Workspace Contacts)
upshiftpartners contacts
Combine the exported data into a single spreadsheet with tagging for where they came from

2. Create and Share an Update Request Form
Use Google Forms, Typeform, or JotForm to create a contact update form with fields for:
Full Name
Email Address
Phone Number
Company Name and Job Title (optional)
Address (optional)
Additional Notes (optional)
Distribute the form to my contact list via email, with a clear and professional message requesting updates.

3. Clean and Deduplicate Contact Data
Review the responses from the update form and integrate them into the consolidated spreadsheet.
Remove duplicates, errors, and outdated information.
Standardize formatting (e.g., phone numbers, names and addresses)

4. Deliver Finalized Contact List
Provide a clean, deduplicated, and enriched CSV file ready for import into Clay and that I can use for my google contacts.
Ensure the list is categorized (e.g., VIPs, business, personal).

Deliverables:
A clean, deduplicated, and updated contact list in CSV format.
A Google Form or Typeform link used to collect contact updates.
Documentation of enrichment steps and sources used to add missing data.
Suggestions for ongoing contact management.
Skills Required:
Experience with contact management and data cleaning.
Familiarity with Google Workspace (Contacts, Forms, Sheets).
Knowledge of data enrichment tools like FullContact, Apollo, or similar.
Attention to detail and ability to handle sensitive data securely.


The goal is to eliminate duplicates, standardize formatting, and ensure all contact information is accurate. If you have experience with contact management and can work efficiently to streamline my address book, I would love to hear from you.

I primarily use apple for my hardware but use google for mail/docs etc.

I'd like to hear a critique of my recommended approach above and I'm open to doing this in a better way if one exists.

Skills: Data Entry, Administrative Support, Microsoft Excel, Google Docs

Dashboard Creation
We are seeking a highly skilled and experienced Excel Expert to create professional and visually appealing KPI Dashboards in Excel. The ideal candidate should have extensive knowledge of advanced Excel functionalities and a strong ability to translate data into actionable insights. Proficiency in Google Sheets is a plus.

Key Responsibilities:
Design and develop customized KPI Dashboards in Microsoft Excel based on business requirements.
Collaborate with stakeholders to identify key performance indicators and define dashboard objectives.
Use advanced Excel formulas, functions, and tools (e.g., VLOOKUP, INDEX-MATCH, SUMIFS, Pivot Tables, etc.) to process, analyze, and visualize data effectively.
Create dynamic and interactive dashboards with features like slicers, dropdown menus, and conditional formatting.
Build visually appealing charts and graphs to represent data trends and performance metrics clearly.
Ensure dashboards are user-friendly, scalable, and optimized for real-time updates.
Perform data cleaning, validation, and transformation to maintain data accuracy and consistency.
Provide training and support to end-users to ensure they can effectively use and interpret the dashboards.

Skills: Visual Basic, Data Processing, Excel, Powerpoint, Statistics

Hey, I’m facing a challenging situation with Microsoft Fabric, and I’d appreciate your insights.



Here’s what happened: I recently connected Git to Microsoft Fabric and pushed the code into Git. However, since then, the pipelines have stopped starting altogether. I’m not sure if I mishandled the process, but this issue only began after integrating Git.



Additionally, we have a Semantic Model that initially failed, but when we ran it manually, it succeeded. This morning, I had to manually open and save pipelines from Friday that hadn’t even started. This kind of issue has never occurred before.



The most critical concern here is that pipelines either fail silently or, in this case, don’t run at all—and we’re not notified. For example, when I initially saw errors, I assumed the issue was with our supplier not sending a file. However, it turned out that the Fabric pipeline never ran, and there was no error message or alert to inform us.



Could you help identify what might be causing these issues or suggest a way to set up notifications for pipeline failures or missed runs?



Looking forward to your advice.



Best regards,
Amena

Skills: Microsoft Power BI, Microsoft SQL SSAS, Data Warehousing, Transact-SQL, Data Analysis, Data Visualization, Power Query, Microsoft Power Automate, Data Analysis Expressions, Microsoft Power BI Data Visualization, Data Analytics, Data Analysis Consultation, Data Cleaning, ETL Pipeline, Data Modeling

Look for in-person distinguished speakers (nobel laurete, best selling authors, TED speakers, etc), A-B listed celebrities, top influencers. Need a list of event date/time, description/key person, location, costs, preferably after 5pm on weekdays, US holidays, or the weekends. Role can expand to virtual assistant in the future for more hours.

Skills: Data Mining, Data Scraping, Data Entry, Market Research, Data Cleaning, Lead Generation, Contact List, Company Research, Data Collection, Prospect List, Data Extraction, CRM Software, Transaction Data Entry, B2B Lead Generation, Prospect Research

We are looking to replace an outdated and unsupported software, Wintac. This software has many features that we do not use, and are looking for a much simpler solution. The purpose of the database is to keep track of customer/property information and work history. No financial details will be recorded. I have included a video of wintac and how/what we need from it. I have also included a PDF showing more accurately what we desire. I am open to your thoughts and ideas. Ideally we would like a solution that stores all our clients data natively on our hard drive in the office. No clouds. We have tried using Access, but it was not user friendly and we failed to thrive with it. We feel a customer database software may be a better solution. We thank you in advance.

Skills: Data Cleaning, Data Entry, List Building, Video Editing, GIS, Property Tax, Real Estate IDX, Google Search, Data Extraction, Database Design, Google Earth, Database, Electronics

I'm seeking a Scala Spark developer who can come to my home and assist with various data processing tasks.

Key Responsibilities:
- Data Cleaning: Ensuring that the data is accurate and ready for analysis.
- Data Transformation: Modifying data into a suitable format for processing.
- Real-Time Data Streaming: Handling and processing data as it comes in.

Data Type: The developer will primarily be working with structured data.

Ideal Skills and Experience:
- Proficient in Scala and Spark
- Extensive experience with data processing
- Comfortable working in a home setting
- Capable of handling structured data

I'm looking for someone who is not just technically proficient but can also collaborate well in a home environment.

Skills: Python, MySQL, Big Data Sales, Hadoop, Spark

Job Description: Zapier Integration Specialist

Overview:
We are seeking an experienced and detail-oriented Zapier Integration Specialist to help integrate our Google Sheets contact databases into the Zapier Table platform. Once integrated, the data will need to sync seamlessly with Mailchimp. This project involves working with a database of contacts containing basic contact information (names, addresses, etc.) and utilizing "tags" for segmentation to support our marketing efforts.

The ideal candidate will have extensive experience with data automation, integration workflows, and ensuring the long-term reliability of automated systems.

Key Responsibilities:

Integration Setup:

Import and integrate contact data from Google Sheets into Zapier Tables.

Map and organize data fields to maintain consistency and accuracy during the migration process.

Workflow Automation:

Develop robust Zapier workflows to automate syncing between Zapier Tables and Mailchimp.

Ensure that data segmentation via tags is preserved and correctly implemented in Mailchimp.

Data Management and Validation:

Audit current Google Sheets databases to identify any inconsistencies or errors.

Implement data cleaning processes as necessary to ensure high-quality records.

System Stability:

Build workflows with reliability in mind, minimizing the risk of frequent errors or breakdowns.

Test workflows extensively before implementation to identify and fix potential issues.

Documentation and Training:

Document the integration process and workflow configurations for future reference.

Provide training or guidance to the team on how to use and maintain the new system.

Required Skills and Qualifications:

Proven experience with Zapier and Zapier Tables, including building and managing complex workflows.

Strong understanding of data migration, integration, and automation principles.

Familiarity with Google Sheets, Mailchimp, and database segmentation.

Exceptional attention to detail and problem-solving skills.

Ability to communicate technical concepts to non-technical stakeholders.

Experience with handling and organizing tagged databases for marketing purposes is a plus.

Preferred Qualifications:

Experience working with real estate or marketing databases.


Project Timeline:
This is a project-based role with an estimated timeline of 1 to 2 weeks, with potential for additional work based on performance and company needs.

Application Process:
Interested candidates should submit the following:

Resume highlighting relevant experience.

Examples of similar projects completed, including outcomes and challenges solved.

A brief description of your approach to ensuring reliable and scalable workflow automation.

Skills: Zapier, Google Sheets, Mailchimp, Automation, Google Apps Script

I am using Chatbots and need to record the conversations made with the users in a database (Airtable). I have already created 2 automatizations (with Make.com) but need someone who can support me creating more automatic processes and in the database monitoring.

Skills: Analytics, Business Intelligence, Microsoft Power BI, Python, Microsoft Excel, Dashboard, Data Analysis, Streamlit, Airtable, Business Report, Data Cleaning, SQL, Public Policy, Survey Data Analysis, Survey Design

lead generators, cold calls, skip tracing

Must be able to show the process of skip tracing to get accurate contact numbers of Mobile home park owners, ability to cold call is a plus, previous experience on this job description is needed and an added advantage

Skills: Online Research, Data Entry, Microsoft Excel, Data Cleaning, Accuracy Verification, Company Research, Data Mining, Database, Contact List, Data Scraping, Lead Generation, Contact Info Research, Email Marketing, Sales & Marketing

We are looking for a skilled data scraping professional to extract a comprehensive list of mobile apps from Crunchbase. The ideal candidate will have experience in web scraping, data cleaning, and organisation, and should be able to deliver the data in a structured format.

Scope of Work:
- Scrape Crunchbase to extract information about all mobile apps.

Capture relevant fields, including but not limited to:
App name
Company/Developer name
Industry
Funding information
Launch date
Website and contact details
Ensure the data is clean, accurate, and well-organised.

Deliver the final dataset in a CSV or Excel format.

Requirements:
Proven experience with web scraping tools (e.g., Python, Scrapy, BeautifulSoup, etc.) or automation platforms.
Familiarity with Crunchbase and its data structure.
Ability to handle large datasets and ensure data accuracy.
Clear communication skills and timely delivery.

Deliverables:
A complete dataset with all the required fields.
Documentation of the scraping process, including any scripts used (optional but preferred).
Preferred Qualifications:
Previous experience scraping Crunchbase or similar databases.
Experience in handling APIs (if necessary for data extraction).
Attention to detail and commitment to data quality.

Additional Information:
Crunchbase data may require premium access or API usage. Please confirm if you have access or specify any additional costs.
Include examples of similar projects you’ve completed in your application.
We are looking for a quick turnaround, so please mention your expected timeline and price in your proposal.

Skills: Data Scraping

We are looking for a Python Web Crawler Administrator to manage, monitor, and modify web scraping processes, ensuring efficient data extraction and smooth operations.

Skills: Lead Generation, List Building, Data Entry, Data Cleaning, B2B Lead Generation, Data Mining, Virtual Assistance, Data Scraping, LinkedIn Lead Generation, Administrative Support, LinkedIn Recruiting, Contact List, Enrich, Prospect List, Email List

We are looking for someone experienced in data scraping and cleaning. The person should be proficient in Python, understand data parsing and manipulation, and libraries like BeautifulSoup, Selenium, Scrapy, etc.

The candidate should have a steering understanding of HTML, CSS, along with storage solutions like JSON, etc.

The ideal candidate should be able to work with deadlines effectively (estimated timeline is 1 week).

Skills: Data Scraping, Data Mining, Python, Data Extraction, Data Cleaning

Zug-based Unita is hiring a Data Cleansing Specialist for their client from the Big Four to improve data quality and efficiency. We are Benchcrowd AG, providing contractor/freelance talents for Unita and our corporate clients across a wide range of areas of expertise. We are currently hiring for one of our clients from the Big Four, to enhance their client's data quality and operational efficiency.

We are looking for a skilled and detail-oriented Data Cleansing Specialist to join the team. The role involves working occasionally onsite (at the Zurich headquarters of this Big Four company; the company will determine the frequency of working from the office and remotely) to support efforts to improve data quality, accuracy, and reliability. A strong understanding of data quality principles and data cleansing techniques is required. You will leverage your expertise in data management and your understanding of the bank's systems and models to identify and resolve data inconsistencies. The role requires proficiency in SQL and Python, as well as experience with SQL-based data manipulation and analysis.

Key responsibilities include:

- Enhancing data quality and reducing deficiencies. - Applying strong knowledge of data cleansing techniques to ensure data integrity and accuracy.
- Working directly with the client’s teams to ensure data aligns with business needs.
- Utilizing data profiling and quality assessment tools to identify root causes of data issues/patterns.
- Documenting and reporting data cleansing processes.

This is an excellent opportunity to be part of a dynamic team and contribute to the success of a high-profile client. If you think you are a good fit for the position, please get in touch.

Kind regards.

Skills: Data Cleaning, Data Quality Assessment, Data Models, Data Management, Data Integrity

Job Title: Data Analytics and Visualization Specialist for Digital Wallet Insights Project

Job Description:
We are seeking a skilled Data Analytics and Visualization Specialist to complete a comprehensive project analyzing digital wallet-related insights. The objective is to derive actionable insights for PayPal to enhance user engagement, product integration, and overall stickiness of their digital wallet offering.

Project Scope:
This project involves survey analysis, advanced data analytics, and interactive data storytelling using Python and Tableau. The deliverables will include cleaned and analyzed datasets, Tableau dashboards, Python-based machine learning models, and actionable insights.

Key Responsibilities:

Survey Data Analysis:

Clean and preprocess survey data (~300+ responses).

Conduct descriptive analysis to summarize demographics, preferences, and spending habits.

Identify recurring themes and patterns.

Secondary Data Integration:

Research and incorporate additional datasets relevant to digital wallets (e.g., mobile payment usage, fintech trends).

Ensure compatibility and relevance of all data sources.

Data Preparation:

Standardize data formats, address missing values, and ensure overall data quality.

Transform variables where necessary (e.g., categorical to numerical).

Advanced Analytics:

Apply Python-based machine learning techniques:

User segmentation based on spending habits.

Predictive modeling for high-value users.

Sentiment analysis of user comments (if applicable).

Data Visualization & Storytelling:

Design interactive Tableau dashboards with filters and parameters.

Develop a coherent Tableau Story to present insights, ensuring a logical flow and user-friendly design.

Focus on key metrics like user engagement, preferences, and spending trends.

Actionable Insights:

Provide strategic recommendations for PayPal in at least two business areas.

Address questions such as:

What are the most requested digital wallet features?

How do user demographics impact spending habits?

Deliverables:

Tableau file (.TWBX) with dashboards and stories.

Python Jupyter Notebook file(s) (.ipynb).

Additional cleaned datasets (if applicable).

Strategic recommendations based on data insights.

Required Skills:

Strong proficiency in Python (data analysis, machine learning).

Expertise in Tableau (dashboard and story creation).

Experience with data cleaning, manipulation, and integration.

Strong analytical and critical thinking skills.

Ability to derive actionable business insights.

Excellent communication skills for data storytelling.

Preferred Qualifications:

Experience working with survey data and secondary research.

Familiarity with digital wallets or fintech industry trends.

Budget:
Please provide a detailed breakdown of your pricing, including milestones for:

Data cleaning and preparation.

Advanced analytics and Python models.

Tableau dashboards and storytelling.

Final report and recommendations.

Timeline:
The project must be completed by 01 Feb.

How to Apply:

Submit a brief cover letter detailing your relevant experience and approach to this project.

Provide samples of previous Python and Tableau work.

Include a timeline and cost estimate.

We look forward to collaborating with a talented professional to bring this project to life!

Skills: Tableau, Data Visualization, Python, Data Modeling, Data Analysis

Excel Data Cleaning: Removing duplicates, errors, and inconsistencies for accurate analysis.
Excel Data Formatting: Organizing data into a clear and professional layout.
Excel Dashboards: Creating interactive and visually appealing dashboards for data visualization.
Excel VBA: Automating repetitive tasks and creating custom macros to save time.
Pivot Tables and Charts: Summarizing and visualizing large datasets effectively.
Data Analysis: Performing advanced calculations and trend analysis for insights.
Conditional Formatting: Highlighting important data with rules and color coding.
Formulas and Functions: Using advanced formulas (e.g., VLOOKUP, INDEX-MATCH) for dynamic calculations.
Data Validation: Ensuring data accuracy with dropdown lists and validation rules.
Excel Reports: Generating comprehensive and structured reports for decision-making.
Financial Modeling: Creating models for budgeting, forecasting, and performance tracking.
Excel Templates: Designing reusable templates for recurring tasks.
Data Consolidation: Combining data from multiple sheets or workbooks.
Excel Integration: Connecting Excel with other tools or databases for seamless workflows.
What-If Analysis: Using tools like Scenario Manager and Goal Seek for scenario planning.
Error Troubleshooting: Identifying and fixing formula errors or inconsistencies in data.

Skills: Data Processing, Excel, Business Analysis, Excel Macros, Data Analysis

We are seeking a skilled data analysis specialist to help us interpret complex datasets and extract actionable insights. The ideal candidate will have experience in data mining, statistical analysis, and visualization tools. You will be responsible for cleaning data, conducting analysis, and presenting findings in a clear and concise manner. If you have a strong analytical mindset and a passion for turning data into strategic recommendations, we want to hear from you!

Relevant skills:
- Data Analysis
- Statistical Analysis
- Data Visualization (e.g., Tableau, Power BI)
- Data Cleaning
- Proficient in SQL or Python/R

Skills: Data Analysis, Microsoft Excel, Data Visualization, Statistics, R

We are seeking an experienced Python Backend Developer to create an NLP pipeline that efficiently web scrapes, cleans, and stores data as embeddings. The ideal candidate will have a solid understanding of NLP techniques and experience in data processing. You will be responsible for building a robust backend system that can handle large data sets, ensuring data integrity and performance optimization. If you have a passion for data-driven solutions and enjoy working with state-of-the-art NLP technologies, we would love to hear from you.
Job Description:
We are seeking an experienced Python backend developer to build an NLP pipeline that automates the process of web scraping, data cleaning, and storing vectorized embeddings into an OpenSearch database. The solution should handle both entire domains and individual URLs efficiently.

Key Requirements:
Web Scraping:

Develop a module to scrape data from entire domains or specific URLs based on user input.
Ensure the scraper handles dynamic and static web pages effectively.
Data Cleaning Pipeline:

Implement NLP-based cleaning tasks such as:
Removing stop words and fixing spelling errors.
Stripping HTML headers, tags, and unnecessary metadata.
Filtering out irrelevant or noisy data while retaining meaningful content.
Embeddings & Vector Storage:

Convert cleaned text data into vector embeddings using a pre-trained language model (e.g., SentenceTransformers, OpenAI embeddings, or similar).
Store the generated vectors in an OpenSearch database for fast retrieval and querying.
Backend Development:

Build a Python-based backend to integrate all components of the pipeline.
Provide a REST API to trigger scraping, cleaning, and storing tasks.
Deliverables:
A Python backend with the following features:
Web scraping functionality for domains and URLs.
NLP pipeline for advanced data cleaning.
Embedding generation and storage into OpenSearch.
Documentation for setup, usage, and extending the pipeline.
Code that is modular, scalable, and easy to maintain.
Technical Expectations:
Strong experience with Python and web scraping libraries like BeautifulSoup, Scrapy, or Playwright.
Proficiency in NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers.
Familiarity with embedding models (e.g., SentenceTransformers, BERT, OpenAI models).
Hands-on experience with OpenSearch or similar vector databases.
Understanding of REST API development with frameworks like Flask or FastAPI.
Preferred Qualifications:
Experience in NLP-based data cleaning and processing.
Background in designing scalable, production-ready pipelines.
Knowledge of working with embeddings and vector search engines.
Budget & Timeline:
Please provide your estimated budget and timeline to deliver the project.
Note: The solution must be end-to-end and should not rely on external APIs for embedding generation.

Skills: Python, Python Script, Machine Learning, Natural Language Processing, Data Science

**Job Description:**

We are currently seeking a highly organized and meticulous data collector to join our team in an important role focused on the manual cleaning and verification of records related to university officials involved in the prestigious Erasmus mobility program. This program is vital for promoting international collaboration and exchange among universities, and accurate record-keeping is essential to its success.

The ideal candidate for this position will possess a keen eye for detail, along with proven experience in data management and data cleaning processes. You will be responsible for thoroughly reviewing and verifying a variety of records to ensure their accuracy and completeness. This includes identifying any discrepancies, missing information, or formatting issues within the data sets. Your attention to detail will directly contribute to maintaining the integrity of our database, which is crucial for the effective management and support of our Erasmus program initiatives.

In this role, you will work closely with our program coordinators and administrative staff to understand the specific requirements and criteria for data accuracy. You will utilize various tools and software to clean, format, and organize the data, ensuring that all records meet our established standards. Additionally, you may be required to document your processes and findings, providing insights that could help improve our data management practices in the future.

Your responsibilities will include, but are not limited to:

- Conducting thorough reviews of records related to university officials participating in the Erasmus mobility program.
- Verifying the accuracy of data entries and identifying any inconsistencies or errors that need correction.
- Cleaning and formatting data according to specified guidelines to ensure uniformity and reliability.
- Collaborating with team members to resolve data-related issues and improve data collection processes.
- Maintaining detailed documentation of data cleaning procedures and any changes made to the records.
- Providing periodic reports on the status of the data cleaning project and any challenges encountered during the process.

To excel in this role, you should be detail-oriented, possess strong analytical skills, and be proficient in using data management software and tools. Experience with database management, data entry, and quality control processes will be a significant advantage. If you are passionate about data integrity and have a commitment to excellence, we encourage you to apply for this crucial position that supports our Erasmus program's mission and objectives. Your contributions will play a vital role in enhancing the overall effectiveness of our international mobility initiatives and fostering collaboration among universities under EU in Europe.

Skills: Data Entry, Microsoft Excel, Browsing