Data Analyst

Wealth Enhancement Group; Remote; EUR 68.000 - 77.000; Vollzeit

Zusammenfassung

A wealth management firm is seeking a Data Analyst to enhance reporting on advisor compensation data. This fully remote position requires expertise in data analysis, strong communication skills, and proficiency in Microsoft Excel. The ideal candidate will collaborate with teams, manage reporting tools, and assist in predictive analytics. The salary range is $80,000 to $90,000, plus bonuses and comprehensive benefits including PTO, 401k, and professional development opportunities.

Leistungen

401k with match

Medical, dental and vision coverage

Paid time off (PTO)

Qualifikationen

• 3 years’ experience in data analysis in financial services.
• Proven ability to analyze large and complex datasets.
• Self-motivated, independent, and well-organized.

Aufgaben

• Analyze advisor compensation data to report on behavior and trends.
• Develop models for predictive analytics.
• Maintain and update reporting tools.

Kenntnisse

Data analysis

Financial services knowledge

Communication skills

Excel

Collaboration

Ausbildung

Bachelor's Degree in business, finance, economics or related

Tools

Microsoft Excel

Salesforce

Jobbeschreibung

About Wealth Enhancement

Wealth Enhancement is an independent wealth management firm with an endless passion for enriching the lives of our clients. We continually seek to perfect our craft of personalized financial planning with our team-based Roundtable and UniFi processes that go far beyond the standard approach. We proudly provide unique financial plans and investment management services to over 80,000 households from our over 140 offices - and growing - nationwide.

Since 1997, Wealth Enhancement has tirelessly raised the standard of wealth management with specialized knowledge and more attentive service that helps every client craft their future. For more information, please visit www.wealthenhancement.com.

We're looking for a Data Analyst to serve as the key resource in Advisor Compensation to help with building and maintaining reporting and analyzing key metric results. The Data Analyst will be able to pull data together from disparate sources and run key data processes. The Data Analyst’s responsibilities include maintaining existing reports/tools and providing new ad hoc reporting to our partner teams. The individual will communicate data availability to teams and business leaders and provide valuable reporting when called upon.

This is a fully remote position.

In the spirit of pay transparency, we are excited to share the base salary range for this position is $80,000.00 to $90,000.00, exclusive of bonuses and benefits. This role is also eligible for our corporate bonus. We encourage you to apply and provide us with your compensation expectations when you do. We’re big on open conversations, so, let’s have one.

Primary Job Functions

Manage and analyze Advisor Compensation Data Offerings

• Analyze advisor compensation data to report on behavior and trends, manage commissions data to provide accurate reporting at enterprise level.
• Independently research and analyze Advisor Compensation datasets and reporting structures. Ensure data quality assurance and accuracy.

Enable Reporting Optimization

• Partner with other WEG team members to validate results and track team needs to determine how to best serve our partners.
• Analyze the performance of different data streams and recommend options to improve results.

Developing New Reports and Enhancing Existing Reports

• Update and improve existing reporting to increase reliability, efficiency and effectiveness.
• Proactively identify additional metrics or new reports to add deeper value.

Predictive Analytics

• Develop models to predict enterprise level effectiveness of Advisor Compensation data offerings.

Other Duties as Assigned

• Assist with the administration of non-variable comp compensation plans.
• Maintain advisor and internal reporting instruments in CRMA.
• Manage WEG data structures and offerings.
• Become a subject matter expert for WEG data structures and offerings.
• Manage communication and data relationships with advisor compensation peer teams.
• Maintain and update SF CRMA access and security.
• Produce ad-hoc reporting and analysis for advisor compensation and peer teams.
• Engage in process improvement.
• Document Advisor Compensation processes and procedures.

Education/Qualifications

• Bachelor's Degree (or equivalent experience) in business; finance, economics or related.
• 3 years’ data analysis experience in the financial services industry.
• Proven ability to analyze large and complex data sets; can communicate findings in a way that is understandable to all audiences.
• Ability to manage strong business relationships with colleagues, peers and business partners.
• Able to present outcomes of analytic models in a manner easily understood by all business partners.
• Experienced navigating complex data structures.
• Must be self-motivated and independent, well-organized, able to work with minimum supervision.
• Highly organized, detail-oriented and possessing a high level of integrity.
• Strong cross-functional collaboration skills.
• Advanced user of Microsoft Excel.
• Experience with statistical / predictive modeling preferred.
• Competent verbal and written communication skills.
• Proficient with Microsoft Office Suite or related software.
• Past Salesforce use preferred.

WEG hires employees and makes decisions about their salary qualifications based on factors such as: the role to be performed; educational and professional experience, qualifications, skills and credentials; tenure, cost-of-living and demand for the role in the applicable market. To comply with state pay transparency laws, we must disclose the entire salary grade. The entire salary grade for those who are classified at the individual contributor level is $79,200.00 to $110,900.00. However, the base salary range bolded above ($80,000.00 to $90,000.00) is what we expect to pay as a starting range for this position.

Comprehensive Benefits Offerings

Our benefits aim to balance four key elements that make life and work meaningful: health and wellness, financial well-being, professional development, and work/life harmony. You may be eligible to participate in the following benefits & development opportunities:

• Training and professional development
• Medical, dental and vision coverage (Available to full-time employees and their families)
• Health Savings Account (HSA) with employer contribution and Flexible Spending Accounts (FSA) for medical, dependent, and transit expenses
• Life and AD&D insurance – employer paid and voluntary options
• Short-term and long-term disability, workers compensation – employer paid
• 401k with match and profit sharing
• Wellness programs and resources
• Voluntary benefits, including pet insurance
• 18 days of paid time off (PTO), accrued annually (25 PTO days after 4 years of service)
• 12 paid holidays each year (10 pre-determined and 2 floating days)
• Paid parental leave and paid caregiver leave (Caregiver leave available after 6 months of tenure)
• Reimbursement for tuition, licensing, and other credentials (Available after meeting service requirements)

Should you need reasonable accommodation when completing the application form or during the selection process, contact the Human Resources Department at 763-417-1700.

Information provided on this application will be kept confidential and only be shared with those involved in the selection process.

Equal Opportunity Employer, including disabled and veterans. This organization participates in E-Verify.

OSHA Requirements: This position requires the ability to stand or sit for long periods of time, file documents in high or low cabinets, to use the telephone and to use the computer systems.

Wealth Enhancement may use artificial intelligence (AI) tools to assist in the initial screening of resumes. All AI-supported evaluations are reviewed by our recruitment team to ensure accuracy and fairness. We are committed to equal opportunity in employment and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected status. Your personal information is handled in accordance with applicable data protection laws.