Irma Moore | Non Phone Work At Home

Part-Time Claims Assistant

Key Duties & Accountabilities (% time spent):

Draft and proofread correspondence related to handling of new claim files and updates to existing files, including communication with insured providers and institutional contacts, claimants, defense attorneys, claimant/plaintiff attorneys (communications include sensitive information)
Verify accuracy of contact information and other data in claim files
Assist with distribution of correspondence received electronically within Claims department electronic filing system
Perform other related duties as required by position

Core Competencies:

Duties and Responsibilities:

Data Analysis and Insights:

Utilize data analysis tools and programming languages to analyze large datasets and extract actionable insights.
Clean and preprocess messy data to ensure accuracy and reliability of analysis results.
Identify trends, patterns, and anomalies in operational data to drive process improvements and optimize performance.

Data Visualization:

Create informative and visually appealing data visualizations, dashboards, and reports to communicate key insights to stakeholders.
Utilize data visualization tools to present complex data in a clear and intuitive manner for non-technical audiences.

Duties and Responsibilities:

Leadership and Team Management:

Lead and mentor a team of data analysts, providing guidance, support, and professional development opportunities.
Manage team resources, prioritize tasks, and ensure timely project delivery.
Foster a collaborative and inclusive team culture focused on driving excellence and innovation.

Data Analysis and Insight Generation:

Utilize SQL and other data analysis tools (such as Excel, Python, or R) to extract, manipulate, and analyze large datasets.
Develop analytical models and algorithms to uncover actionable insights and inform strategic decision-making processes.
Create compelling data visualizations and dashboards to communicate insights to stakeholders.
You may have:
Experience managing senior analysts, leads, and/or managers.
Experience in eCommerce and/or DTC digital health products analytics.
Experience reporting into a Data or Engineering team, with knowledge of engineering principles and processes.
Python-specific experience, especially with data analysis libraries (such as Pandas).
Experience with a variety of data visualization tools, especially those that produce live dashboards.
Experience with B2B businesses that have high-lifetime-value customers.
Experience with GCP or other cloud infrastructure (AWS, Microsoft Azure, etc.).

What you’ll do:

Generate daily, weekly and monthly reporting for all major metrics
Perform daily account management of LinkedIn ad accounts
Monitor, maintain and optimize audiences, ads, budget caps, and KPIs
Collaborate with cross-functional teams to help implement and test creative, audiences and landing pages
- Extensive experience in A/B testing display and video creative
Aid in the creation of new initiatives, including audience research, ad trafficking, and building out campaigns
Ensure account and campaign structures adhere to best practices

Skills and knowledge you should possess:

4-5+ years experience in LinkedIn and Meta marketing with a passion for SaaS and digital marketing with some background in B2C
Bachelor’s degree
Background in SaaS, subscription, digital service, e-commerce and agency is ideal
Highly proficient and certified in LinkedIn and Meta
Comfortable working with analytics platforms, such as Google Analytics, Salesforce, Tableau, or Looker

Manage the overall month-end close process ensuring an accurate and timely close.

Aggregate and prepare all AidKit payment data
Pull statements from financial institutions and payment vendors
Prepare data for the accounting team
Support accounting anomaly resolution
Review monthly statements
Perform monthly reconciliation activities
Qualifications:
Bachelor’s degree in finance, Accounting, or a related field (master’s degree preferred).
CPA or CMA certification is a plus.
Minimum of 5 years of experience in finance and accounting, with a focus on payments and reconciliation.
Strong knowledge of financial software and tools (e.g., QuickBooks, Excel).
Excellent analytical and problem-solving skills.
Attention to detail and high level of accuracy.