* 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTX1852cc
- Position Id: 8efbfa9f409837c8ccc02d963b44d75c
- Posted 1 day ago
Never miss an opportunity! Create an alert based on the job you applied for.
