Marketplace Agent Broker Data Analyst
Marketplace Agent Broker Data Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
This is a remote position.
Job Summary:
Genesis Consulting is seeking a skilled Data Analyst to support our clients Agent Broker Consumer Quality Initiative (ABCQI) team. This role involves conducting data pulls performing detailed analysis and writing comprehensive reports and presentations regarding Agent Broker (AB) data and activities within the Federally Facilitated Marketplace (FFM). The Data Analyst will work closely with business and technical leads to support the initiative s goals of improving the consumer agent and broker experience.
Duties and Responsibilities:
Data Analysis:
o Collect process and analyze data from multiple sources using tools such as New Relic Splunk Salesforce Amazon Data Bricks SAS Redash EDAP Snowflake MS Power BI MarkLogic XQuery and JavaScript.
o Utilize advanced data science statistical and mathematics techniques to interrogate data.
o Analyze AB data to identify patterns correlations and anomalies.
Reporting:
o Write detailed and comprehensive reports on findings from data analysis.
o Present data in creative and visually compelling ways to effectively communicate insights.
o Prepare and deliver presentations to stakeholders including business and technical leads.
Collaboration:
o Work closely with the ABCQI team including business and technical leads to ensure data analysis aligns with project objectives.
o Provide data-driven recommendations to support decision-making processes.
o Collaborate with other team members to integrate data insights into project plans and strategies.
Requirements
Minimum Qualifications/Experience:
Experience with Marketplace data and data tools such as New Relic Splunk Salesforce Amazon Data Bricks SAS Sandbox Snowflake MS Power BI and MarkLogic.
Experience with interrogating data using advanced data science statistical and mathematics techniques.
Experience with manipulating data sets to uncover trends and extract insights.
Experience in presenting data in creative and visually compelling ways to communicate findings with data visualization tools such as Redash MS Power BI or Tableau.
Proficiency in executive reporting.
Experience with relevant data applications and tools including Splunk NewRelic Salesforce
Experience with languages and tools for data science development including Python Scala R SQL or SAS.
Experience with Big Data development specifically in the areas of machine learning and natural language processing (NLP).
Familiarity with the Federally Facilitated Marketplace (FFM) and health insurance industry.
Strong analytical problem-solving and critical thinking skills.
Excellent communication and interpersonal skills.
Ability to work effectively in a team-oriented environment.
Minimum Education:
Bachelor s Degree in Computer Science Information Technology or similar required.
Required Certifications:
None required.
Other:
US Citizenship required for clearance.
Experience with Marketplace data and data tools such as New Relic, Splunk, Salesforce, Amazon Data Bricks, SAS, Sandbox, Snowflake, MS Power BI and MarkLogic. Experience with interrogating data using advanced data science, statistical, and mathematics techniques. Experience with manipulating data sets to uncover trends and extract insights. Experience in presenting data in creative and visually compelling ways to communicate findings with data visualization tools such as Redash, MS Power BI, or Tableau. Proficiency in executive reporting. Experience with relevant data applications and tools including Splunk, NewRelic, Salesforce Experience with languages and tools for data science development, including Python, Scala, R, SQL, or SAS. Experience with Big Data development, specifically in the areas of machine learning and natural language processing (NLP). Familiarity with the Federally Facilitated Marketplace (FFM) and health insurance industry. Strong analytical, problem-solving, and critical thinking skills. Excellent communication and interpersonal skills. Ability to work effectively in a team-oriented environment.
Employment Type
Full Time
