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Data Analyst
Collaboredge Inc Washington, DC
$109k-143k (estimate)
Full Time 2 Weeks Ago
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Collaboredge Inc is Hiring a Data Analyst Near Washington, DC

Job Details

TITLE: Data Analyst

LOCATION: Washington, DC/ Onsite

MINIMUM EDUCATION: Bachelor s degree in IT, related field, or equivalent experience.

REQUIRED EXPERIENCE: 10 years

INTERVIEWS: Webcam Only

Job Description:

Clint seeks to hire a Data Analyst resource to provide data analysis and management support. Must have at least 10 years overall in Data Analyst experience.

Responsibilities:

  • Provides assessments of technical and operational practices based on leading industry standards specific to the requested technology.
  • Plans, organizes and conducts research in a variety of areas, such as new or existing products, science, social science, law, or business in support of an IT initiative.
  • Searches sources such as reference works, literature, documents, newspapers, statistical records, and other sources of information. May use the Internet, Intranet, magazines, periodicals, journals, and other media to perform research.
  • Analyzes information and statistical data to prepare reports and studies for use by professionals.

Skills:

  • Experience analyzing info and statistical data to prepare reports and studies for professional us. Required 5 Years
  • Data analysis using R. Required 5 Years
  • Experience working with education and workforce data. Required 5 Years
  • MS Excel. Required 6 Years
  • Strong communication skills - must be able to communicate (written/oral) complex data concepts to non-technical stakeholders. Public. Required 5 Years
  • Experience planning, organizing, and conducting research in various areas. Required 5 Years
  • 6-10 yrs. as SME in complex enterprise-level projects. Required 6 Years
  • Master s degree in Data analysis or related field or equivalent experience. Required

Job Summary

JOB TYPE

Full Time

SALARY

$109k-143k (estimate)

POST DATE

04/14/2024

EXPIRATION DATE

04/27/2024

Show more

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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Step 1: Understand the job description and responsibilities of an Accountant.

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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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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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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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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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Step 3: View the best colleges and universities for Data Analyst.

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