Interface directly with assigned client(s) to manage delivery of program plans
Manipulate large file-based and relational datasets to identify and understand trends, patterns and issues in customer data; recommend ways issues can be resolved and engage with clients to overcome data and analysis obstacles
Perform analytical work requiring knowledge of administrative principles and analytic practices
Write, review, and maintain code (Python, R, etc.) for performing data aggregations and manipulations
Work with stakeholders to drive decisions and measure progress through data analysis
Deliver analyses using a variety of tools and statistical methods to communicate and allow non-technical client subject matter experts to understand and interact with the analysis
Deliver process, analysis, and product documentation as necessary to prepare the team and company for growth/scale
Prepare presentations and reports based on the outputs of research/analysis
Educate and learn from internal teams on analytics best practices, relevant knowledge, and specific skills
Critically evaluate information gathered from multiple sources and reconcile conflicts
Work with the research, product, and engineering teams to iteratively improve product and analysis results

Requirements

Experience in the ETL process and database management
Experience in Exploratory Data Analysis
Experience in technical algorithm/scripting development (e.g., Excel formulas, Stata, R, Python, SQL, SAS, etc.)
Strong communication skills and ability to perform effectively in a fast-paced environment
Ability to successfully manage multiple concurrent tasks/projects and meet deadlines
Empathy for colleagues and customers
Ability to work independently with minimal guidance from management (except in complex and non-routine situations)
Ability to anticipate challenging situations and proactively plan appropriate actions
Ability to effectively communicate across multiple levels (customers, team members, managers)
Strong statistical sense (ability to understand central tendency, patterns within numbers, and how statistical results relate to the real world)
Strong technical aptitude and technical acquisition skills (ability to work with and develop skills in technical products)
Ability to convey information using data visualizations
Experience in writing SQL queries
Experience with data analysis software (R, Tableau, Python, SAS, Stata, etc.)
Experience with spatial mapping platforms and data formats
Experience with insurance loss exposure data sets
Strong MS Excel skills (complex formulas, VLOOKUP, pivot tables)
Experience with agile analytic practices

Benefits

Unlimited Paid Time Off
Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone)
Summer Half-Day Fridays
Freed Up Fridays during Spring, Fall, and Winter months to promote productivity and dedicated heads-down work time
Medical, dental, and vision plan offerings along with 401(k)
Employer-paid Short-Term Disability, Long-Term Disability, and Life Insurance
Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSQLSASStataETLExploratory Data Analysisdata visualizationstatistical analysisdatabase management

Soft Skills

strong communication skillsempathyability to manage multiple tasksindependenceproactive planningeffective communicationstrong statistical sensetechnical aptitudeability to educatecritical evaluation