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Data Analyst

Richmond, VA 23230

Posted: 11/10/2022 Category: Data Science Job Number: 283005-0_1 Salary: $70,000 - 80,000

Job Description

Title: Data Analyst
Location: Richmond, VA or Remote
Salary: $70,000 - 80,000
Contact: Paul Chatlos, [email protected]

Data Analyst YOUR ROLE

Do you find energy and excitement in leveraging critical thinking and data insights to help drive forward business strategy and solve complex, unstructured problems? Do you have a self-starting attitude constantly driving improvements without direction? Are you naturally curious always looking for new information and relationships? Do you enjoy driving strategy and results using creative problem solving and data?

We are revolutionizing the analytics space in the Long-Term Care Insurance industry via innovative technology, intuitive design, and creative thought leadership. We have repeatedly shown the value of the analytics team and continue to invest in our team.

Using the latest analytic tools and processes, we're able to analyze our data to provide strategic insight leading to transformational change. To carry us even further, we are seeking a Data Analyst to join our expanding, problem-solving team, supporting our Long-Term Care Data Insights and Strategy team. This individual will harness the power of data, critical thinking, curiosity, and an eye for detail to enhance analytic insights and business strategy for our customers and processes to support critical initiatives that will transform the landscape of Long-Term Care Insurance.

Data Analyst WHAT YOU WILL BE DOING

-Develop subject-matter expertise around new, unstructured, complex datasets associated with policies, claims, and customers
-Directly support various Senior Leaders by leveraging data, analytic insights, and critical thinking to execute on business strategy and track results
-Uncover critical, high-impact data insights, create new strategies, and develop custom approaches/techniques in Long-Term Care market
-Leverage strong programming skills to explore, examine, and interpret large data sets in various forms
-Communicate progress, insights, and analytic findings via oral and written methods including a mature command of data visualization methods
-Build relationships with business partners and senior leaders across the business to create collaborative teams, manage project progress, and communicate project results and insights
-Handle ad hoc requests from customers in a timely fashion identifying core business problem, gather relevant customer requirements, and develop analytical solutions
-Build repeatable, robust data infrastructure to support analytic efforts around the business including reporting, dashboards, cost/benefit analysis, and decision impact
-Lead and manage initiatives and present business insights to leadership teams

Data Analyst MUST HAVE/WHAT YOU BRING

-Intellectual curiosity and a desire to find answers!! Ability to "connect the dots" and provide creative solutions
-Bachelor's degree in an analytical or technical discipline
-At least 3 years of analyst experience in a dynamic environment; Expertise obtained through progressive analytical and operational work experience
-Critical thinker able to leverage quantitative and qualitative data to support business strategy and execution
-Results-oriented and able to demonstrate a sense of urgency and accountability for your work
-Self-motivated with a drive for results and well verbal/written communications skills to non-technical audiences
-Expertise in Excel
-Hands on Intermediate to advanced SQL/SAS or other programming language ability
-Experience with data visualization tool (i.e. Spotfire, Tableau, Business Power Intelligence or Business Objects)

Data Analyst NICE TO HAVE

-Life/LTC Insurance product and claims process knowledge
-Database/ETL experience
-Master's degree in related field
-Subject matter expertise in advanced analytical and modeling data capabilities utilizing Python and/or R
-Experience with big data technologies (i.e. Hadoop, Spark, Hive, Databricks, AWS/Azure and etc.)
Dat

Meet Your Recruiter

Paul Chatlos
Principal

Paul Chatlos joined Smith Hanley in 2013. He is currently the Data Science and Analytics Practice Lead for the East and West Coasts and a Principal of the company. Prior to joining Smith Hanley, he recruited marketing professionals in the pharmaceutical, medical device and biotechnology industries and also worked in Physician Recruitment. He prides himself on building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals. He also believes that recruiting is finding the best “match” of candidate and opportunity. 

He holds a BS in Psychology from James Madison University. Outside of work, Paul enjoys playing golf regularly and is an avid sports fan. 

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