Regularly interacts with business leaders to determine needs for data and reporting. Assembles data from various sources and develops solutions and reports to assist with efficiency and decision-making.
Inspects raw or low-level data to summarize into insights, reports, analysis and draw conclusions to answer business inquiries.
Utilizes technology such as SQL, Python, and Power BI to gather, summarize, combine, and present data.
Develops more efficient, automated ways to deploy solutions, improve data quality, and improve efficiencies.
Performs routine data analysis using various techniques (e.g., statistical analysis, predictive modeling, data modeling) to accomplish reporting and analysis goals. Develops new data analysis techniques and visuals.
Actively monitors, analyzes, and reports on data to business performance goals. Manages routine reporting to bring trends, challenges, and recommendations to to management's attention.
Reviews and audits reports ; performs root cause analysis on data quality issues.
Provides technical support and maintenance of users in reporting application.
Researches best practices and explores ne technology to support the company and the team.

Requirements

EDUCATION: Bachelors degree in Computer Science, Statistics, Math, or related field from an accredited four-year college or university required.
EXPERIENCE: A minimum of 2 years of experience in Analytics or significant workers compensation insurance experience required.

Benefits

Work From Home Flexibility (up to 2 days per week upon eligibility)
Modern Office Setting
On-Site Garage Parking
Paid Time Off
Paid Holidays
Retirements Savings Match
Group Health Insurance (Medical, Dental, and Vision)
Life and AD&D Insurance
Long Term Disability Insurance
Hospital Indemnity Insurance
Accident and Critical Illness Insurance
Flexible Savings Accounts
Paid Community Volunteer Day
Employee Assistance Program
Tuition Reimbursement Program
Employee Referral Program
Diversity, Equity and Inclusion Program

Applicant Tracking System Keywords

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

Hard skills

SQLPythondata analysisstatistical analysispredictive modelingdata modelingdata visualizationdata quality improvementautomated solutionsreporting

Soft skills

communicationproblem-solvinganalytical thinkingattention to detailcollaborationdecision-makingtechnical supportroot cause analysisefficiency improvementresearch