Junior Data Analyst
| Company | Fidelity National Financial |
|---|---|
| Location | Altamonte Springs, FL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- Bachelor’s degree in business administration, economics, computer science, management information systems or related field or equivalent related experience
- 1-3 years data analyst or related experience, including proficiency with analytical software or equivalent related education
- Strong attention to detail
- Experience working with and creating databases, reports and dashboards using all relevant data to inform decisions
- Experience using analytics techniques to contribute to company objectives
- Problem solving, quantitative and analytical abilities
- Ability to plan and manage numerous processes, people and projects simultaneously
- Communication, collaboration and delegation skills
- Experience with Excel, Word, and PowerPoint
- SQL skills, ability to perform effective querying involving multiple tables and subqueries
Responsibilities
- Review, analyze and make recommendations to convert various external data sources for ingestion into a standardized schema
- Manage the ingestion of current updates to the data from the external sources including updates to formats received and improvements to the ingestion processing
- Develop, support and maintain data models, reporting systems, dashboards and performance metrics supporting key business decisions
- Design and build technical processes to address business issues
- Design and delivery of reports and insights that analyze business functions and key operations and performance metrics
- Optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables
- Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
- Manage and improves existing reporting systems
- Analyzes problems and determines root causes
- Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models
Preferred Qualifications
- Title Plant and title industry knowledge
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
- Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
- Experience writing advanced SAS code statements, models, and macros