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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.
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
Full Time
Investment Management
$77k-101k (estimate)
02/23/2024
06/18/2024
intellswift.com
FREMONT, CA
25 - 50
2001
Private
LADDI S JHUTY
<$5M
Investment Management
Intelliswift Software provides enterprise application, collaboration, mobility and cloud computing solutions.
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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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.