16 Data Analyst Jobs in Louisville, KY
The Sullivan University System is Hiring a Data Analyst Near Louisville, KY
- Internal Mobility
- The Opportunity to Make a Difference in the Lives of our Students
- Professional Training and Development
- Individual Coaching
- A Diverse and Positive Work Environment
- To Support Local Charities through the Sullivan Cares Program
- 90% Tuition Discount through the Master’s degree level for the employee and 40% dependent discount after 1 year of employment (dependent discount increases to 90% after 3 years)
- A Generous Benefits Package with Medical, Dental, Vision, Life, AD&D, Long-Term Care, Short Term Care, Auto, and Home Insurance.
- 401K
- Competitive Salary
- 11 Paid Holidays
- Paid Vacation and Sick Time
- Employee Referral Bonus
- Employee Discounts at Local Restaurants and Venues
- Comprehensive Wellness Program
- Provides user assistance to questions relating to the functional use or problems associated with application software systems.
- Learns and understands the automated processes of the business applications currently in use.
- Interfaces with third party vendors on releases, enhancements and effects.
- Investigates and resolves complex technical and business issues.
- Gathers and analyzes user requirements; identifies risks, changes in data processing and business processes.
- Creates data sets to analyze and recreate customer issues.
- Uses fact-finding procedures, knowledge of pertinent workflows and processes, programming practices, and data extraction techniques to provide required analyses of business problems.
- Perform analysis and investigation of identified anomalies in production application data.
- Develop programs, methodologies and reports for analyzing and presenting data from multiple sources.
- Develop a thorough understanding of the business process related to the campus and corporate operations.
- Provide programming interfaces for data extracts and support for production applications.
- Ability to develop and/or modify systems and programs to meet specific application configurations.
- Plan, design, coordinate, test and modify complex software based systems and subsystems.
- Plan, design, coordinate, test, and modify dashboards and other methods of information distribution.
- Maintain software application system configuration files for correct and effective operations.
- Validate data for reports and other distributed information.
- Document and track computer generated work orders for assisting users and their requests.
- Develop skills though continuous training and self-education.
- Performs other duties as assigned.
- Bachelor’s degree in Computer Science or related field.
- Three years related experience.
- An equivalent combination of education and work experience may be considered.
- Experience in data visualization tools (Power BI preferred)
- Experience with creating SSRS files.
- Knowledge of our Student Information System (Anthology Nexus) is preferred but not required.
- MS SQL skills including the development of complex queries and stored procedures.
- Knowledge of various program languages and scripting needed for working with databases.
- Advanced Excel knowledge.
- Knowledge of Crystal Reports preferred.
- Knowledge of Data Mining and Statistical Analysis desired.
- Proficient knowledge of functions of the business software.
- Understanding of the software development life cycle (SDLC)
- Ability to sit for extended periods of time.
- Ability to maintain concentration and attention to detail when working for extended periods of time.
- Ability to communicate effectively with other employees and external vendors.
Job Summary
Full Time
Wholesale
$80k-104k (estimate)
05/17/2023
05/09/2024
faculty.sullivan.edu
Louisville, KY
<25
Wholesale
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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.
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.
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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