Data Cleansing Jobs

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Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Hi there, I need 2 columns updated. Firstly Website needs to be found - enter the name of the company in google and see if you can find their official website. Include the full address, e.g. Secondly Please identify the precise number of GLOBAL employees that the company has, using a variety of 4 sources in priority order: 1) Corporate website (look for "About Us" or "People" section/web pages) 2) From corporate website or general google search find the 2015/2016 Annual report 3) Wiki company business page 4) Linkedin company page i.e. The Cheesecake Factory has 10,0001+ employees 5) Endole/Google Finance/ If the Website is saying 300 global empoyees and the Linkedin is saying 140, please use the Website since it is no.1 on the priority list! If you use Linkedin please just return the band range of employees i.e. the employee bands from Linkedin i.e. 10,000+ or 5,001 - 10,000. Please try and find the precise value of the GLOBAL employees as best you can.
Skills: Data Cleansing Data Entry Data mining Data scraping
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
We have a database of over 120,000 leads in our Salesforce CRM and need help ensuring that the data is both accurate and categorized. To do this we will give a qualified candidate the database in batches of 10,000. This is so that we can easily import the information when complete and to control costs as the project continues. Since accuracy is essential to this project we will verify this information through random spot checks. While the majority of our leads have basic contact information we do need the follow data points added or updated if incomplete: - First and Last name - Email address - Title - Company - Website We also need these three segments added to or verified for each lead (definitions and examples will be provided): 1. What healthcare sub-sector the lead's company operates in: - Health System - Hospital - Academic Medical Center - Radiology Practice - Medical Group/Practice - CRO (Contract Research Organization) - HIE (Health Information Exchange) - Solution Provider - Developer - Other 2. Number of Employees of in a Lead's company: - 1-19 - 20-49 - 50-149 - 150-499 - 500-999 - 1,000-9,999 - 10,000+ 3. What the lead's role is in their company - Administrator / Practice Mgr. - Business Development - CEO / COO - CMIO / CIO / CTO - C-level Other - Chair / Department Head - Fellow - IT Director / Mgr. - Medical Records Staff - Programmer / Developer - Operations - Sales / Marketing - Student - Other Once the basic contact information is verified and the above three categories are collected we will move on to sub-specialties to further improve our marketing communications segmentations.
Skills: Data Cleansing Data Entry Data mining Data scraping
Hourly - Entry Level ($) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I have to build a list of people for a certain initiative. I need them into Tier 1 and Tier 2 lists. I have the sources of data in multiple different places, with different formats and with different parts of their details. For example, I may have the full contact details in an email for one contact and a list of people on a powerpoint slide without any emails etc. for another few contacts. THe key thing is the names and emails. There would be an initial build of the list and then if you do a good job, i woul dkeep you on to do updates/enhancements as new contacts are identified that should be added. Also if they can get it out of a spreadsheet and into a format that can easily generate an email that wuold be a bonus and should be INCLUDED on the cover letter. Ready for this challenge? ;-)
Skills: Data Cleansing Data Entry mailchimp Microsoft Excel PowerPivot
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
Good morning all, As our data is getting bigger we need to move to hire more freelancer to finish the project on time. This a straightforward data cleansing job. Wine data has been collated under a single tag and then later broken down into logical elements: producer, name, sub name, country, year. Some of the elements, following a simple logic have rejected the proposed breakdown, either because it could be wrong, wrongly rejected or because it's incomplete. Your job will be to review these element and correct them manually. This sis quite straightforward as looking in google images for the bottle will give 90% of the answers. Note that the same issue is recurrent (ie quite often sorting a line will sort the 5 following). Expected amount: 70,000 to 90,000. Proposed payment: by line cleaned. On average I clean about 150 lines per hour which varies with the data complexity. Of course it would take a pair of days of practice to reach that level since knowledge of wines and grapes helps. We have a huge amount of lines to clean so if you're interested you would be required to clear a sample of 100 lines. Price paid so far has been 0,0215 per lines but we can discuss. We are actually looking for a team of people to do that as we have over 80 000 line to clean in limited time This is 3/4 weeks project for the entire data to be cleaned up last week of august or earlier if possible Please provide us with your best quote. More information available on demand. Kind regards, Julien
Skills: Data Cleansing Data Engineering Data Entry
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Our product lists are all over the place. I have started working on it but it can get time consuming and I have a lot of work on my plate already. What I need: Enter product information and data: SKU, UPC, Images, Description, etc. What I will provide: very clear directions, ease of communication, anything else needed to successfully finish tasks. There is definitely a high opportunity for this to be an ongoing job
Skills: Data Cleansing Data Entry Data mining Data scraping
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
We have a list of 1320 contacts (dentists). These include name, address (office), and phone number. We would like to obtain the email address of these contacts. Using the company name and address we would like to get the owner/manager, their respective email address, and how many locations they have (e.g. multiple offices?)
Skills: Data Cleansing Data mining Data scraping Lead generation
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Looking for experienced bioinformatician working on protein analysis. I have a list of desired proteins and gene seq, downloaded in .txt format. I need to map the phosphorylation sites on protein seq. so that I can visualize and be able to do further analysis. **The data can be downloaded from**
Skills: Data Cleansing Data Visualization Python
Fixed-Price - Expert ($$$) - Est. Budget: $250 - Posted
Looking to clean an excel database that contains 14k rows of customers information such as Address, Postal Codes, Province etc. I need consistency on naming as well all fields need to be filled in. will most likely need to search the web for missing info.
Skills: Data Cleansing Data Entry Data scraping Excel VBA