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Location: Remote: Must work CT hours
Duration: 12 months
Only W2
Day to day reconciliation of data is primary duties, Also helping reconcile for invoices
Absolute- - duties would be:
1) reconciliation of data for resource onboarding between vendors (300 roles)
2) Reporting tracking and admin duties such as managing the onboarding count and providing official statuses
3) providing support on deck creation and presentations
This involves a lot of project management and work force/vendor managing so please ensure your resumes show this person can deal with global projects and some type of experience with vendors/suppliers.
Pay Range: $70 - $80
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.
Full Time
$108k-141k (estimate)
03/16/2024
05/14/2024
pinnacleregistry.org
Dallas, TX
<25
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Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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