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Data Analyst 2
$77k-101k (estimate)
Full Time | Investment Management 3 Months Ago
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Intelliswift Software Inc is Hiring a Data Analyst 2 Near Greenville, SC

Pay rate range - $38/hr. to 41/hr. on W2

Location: Greenville, SC • Work Schedule: Hybrid - follows Schedule M-TH onsite, F from home. If the model changes to 5 days on site then the contractor would be required to do the same.

Top Skill Sets -

Excellent Excel skill

Data Analysis

Reporting

Education Requirement Bachelor's Degree or 3 years experience in Data Analytics

Years of experience 2 -5

Summary:

The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Job Responsibilities:

Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries.

Establishes standardized methods of recording, tracking, and reporting on activity.

Design, implement, automate, and maintain large-scale enterprise data ETL processes.

Modify existing databases and database management systems and/or direct programmers and analysts to make changes.

Skills:

Ability to work as part of a team, as well as work independently or with minimal direction.

Excellent written, presentation, and verbal communication skills.

Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc.

Highly proficient and adept in Microsoft Excel and various business intelligence and analytical tools.

  • Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques.
  • Communication skills with the ability to distill complex subjects to various audience levels.

Keen attention to detail.

Strong analytical capabilities

Strong PC skills including knowledge of Microsoft SharePoint, Excel, Word, and PowerPoint (Must be very adept in Excel)

Education/Experience:

Bachelor's degree in a technical field such as computer science, computer engineering or related field required.

2-5 years of experience required.

Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, and CMMI a plus but not required

Comments -

Must be highly adept in Microsoft Excel, Word, and PowerPoint. Call center data analyst experience is preferred.

2-5 years of experience

Job Summary

JOB TYPE

Full Time

INDUSTRY

Investment Management

SALARY

$77k-101k (estimate)

POST DATE

02/23/2024

EXPIRATION DATE

05/20/2024

WEBSITE

intellswift.com

HEADQUARTERS

FREMONT, CA

SIZE

25 - 50

FOUNDED

2001

TYPE

Private

CEO

LADDI S JHUTY

REVENUE

<$5M

INDUSTRY

Investment Management

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About Intelliswift Software Inc

Intelliswift Software provides enterprise application, collaboration, mobility and cloud computing solutions.

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The following is the career advancement route for Data Analyst 2 positions, which can be used as a reference in future career path planning. As a Data Analyst 2, it can be promoted into senior positions as a Data Analyst III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst 2. You can explore the career advancement for a Data Analyst 2 below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

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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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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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