Data Analyst III/II/I
Oklahoma City, OK · On-site
... when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately ...
Data Analyst III/II/I
Oklahoma City, OK · On-site
... when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
... to entry level TF Client Solutions Analyst I. Team Culture All work is completed as a team, and ... Fidelity System. * Thorough knowledge of Electronic Funds Transfer (EFT) industry regulations ...
Entry Level Fidelity information
What are the entry-level jobs at Fidelity?
Entry-level jobs at Fidelity include roles such as Customer Service Associate, Financial Operations Associate, and Investment Associate. These positions typically require strong communication skills, basic financial knowledge, and may involve training on company-specific tools and systems. They often serve as starting points for careers in finance and investment management.
What is an entry level Fidelity?
An Entry Level Fidelity job typically refers to a starting position at Fidelity Investments, a financial services company. These roles are often in customer service, financial advising, or operations, providing support to clients and learning about investment products. Employees receive training to develop financial expertise, customer service skills, and industry knowledge. These positions serve as a foundation for career growth within the company.
What are the typical daily responsibilities of an entry level Fidelity?
As an Entry Level Fidelity team member, your day may consist of assisting clients over the phone or online, providing information about accounts or financial products, and processing basic transactions. You'll collaborate closely with more experienced advisors, learn to navigate financial software, and help ensure compliance with internal policies and regulatory standards. The role also includes participating in ongoing training sessions to build your industry knowledge. This hands-on experience provides a great introduction to the financial sector and sets the stage for future advancement within the company.
What are the key skills and qualifications needed to thrive in the entry level Fidelity position?
To thrive as an Entry Level Fidelity employee—such as a customer service representative or financial associate—you need a bachelor’s degree (often in finance or related fields), basic financial literacy, and strong attention to detail. Familiarity with financial software platforms, CRM tools, and ongoing pursuit of industry certifications like Series 7 or Series 63 is often encouraged. Exceptional communication skills, teamwork, and a client-focused mindset help you excel in resolving inquiries and supporting clients effectively. These skills and qualities are crucial for building trust, ensuring compliance, and establishing a foundation for career advancement in the financial services industry.
What are the most commonly searched types of Fidelity jobs in Oklahoma?
The most popular types of Fidelity jobs in Oklahoma are:
What are popular job titles related to Entry Level Fidelity jobs in Oklahoma?
For Entry Level Fidelity jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Entry Level Fidelity jobs in Oklahoma look for?
The top searched job categories for Entry Level Fidelity jobs in Oklahoma are:
What cities in Oklahoma are hiring for Entry Level Fidelity jobs?
Cities in Oklahoma with the most Entry Level Fidelity job openings:
Job description
* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.
* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.
* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.
Skills of Ideal Candidate:
1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.
2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.
3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot
4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.
5. Familiarity with the following disciplines
• Natural Language Processing: Interaction between computers and humans
• Machine Learning: using computers to improve as well as develop algorithms
• Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems
• Statistical analysis and Predictive modeling
• Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation
6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.
7. Exceptional presentation skills.
8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.
9. Strong negotiation skills.
10. Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
11. Exceptional analytical thinking and problem solving skills.
12. Exceptional understanding of business and business strategy.
13. Strong planning skills.
14. Exceptional organizational skill and ability to work autonomously.
15. Experience using data visualization tools such as QlikSense or Tableau
16. Innovative curiosity
17. Strong knowledge of Data Science
18. Ability to deal with ambiguity
Education Requirements:
Data Analyst III: Actuarial Designations can substitute for PhD. AFA specific data experience will be considered in lieu of PhD on case by case basis
Data Analyst I/II: High school diploma or equivalent
#AFC
* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.
* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.
Skills of Ideal Candidate:
1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.
2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.
3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot
4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.
5. Familiarity with the following disciplines
• Natural Language Processing: Interaction between computers and humans
• Machine Learning: using computers to improve as well as develop algorithms
• Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems
• Statistical analysis and Predictive modeling
• Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation
6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.
7. Exceptional presentation skills.
8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.
9. Strong negotiation skills.
10. Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
11. Exceptional analytical thinking and problem solving skills.
12. Exceptional understanding of business and business strategy.
13. Strong planning skills.
14. Exceptional organizational skill and ability to work autonomously.
15. Experience using data visualization tools such as QlikSense or Tableau
16. Innovative curiosity
17. Strong knowledge of Data Science
18. Ability to deal with ambiguity
Education Requirements:
Data Analyst III: Actuarial Designations can substitute for PhD. AFA specific data experience will be considered in lieu of PhD on case by case basis
Data Analyst I/II: High school diploma or equivalent
#AFC
About American Fidelity
Sourced by ZipRecruiter
Industry
Insurance services
Company size
1,001 - 5,000 Employees
Headquarters location
Oklahoma City, OK, US
Year founded
1960