Company Overview
Established in 1973 through a handshake between golf legend Arnold Palmer and renowned sports agent Mark McCormack, MAI Capital Management was founded with a clear mission: to make our clients’ lives easier. Over the past 50 years, while the financial landscape has evolved, our commitment as a registered investment adviser has remained steadfast—we empower clients to simplify, protect, and grow their wealth.
MAI specializes in wealth management and sports & entertainment financial services, offering tailored solutions to meet the unique needs of each client. We uphold a fiduciary duty to act in the best interests of those we serve, delivering comprehensive financial strategies that align with their goals.
Our expertise includes:
✔ Financial & Estate Planning – Securing your legacy with personalized strategies.
✔ Investment Management – Building and preserving wealth through strategic asset allocation.
✔ Tax Planning & Preparation – Maximizing tax efficiency for long-term financial success.
✔ Insurance & Risk Management – Protecting assets with tailored coverage solutions.
✔ Accounting & Bill Pay – Ensuring financial clarity and organization.
✔ Philanthropy Advisory – Guiding charitable giving to align with your values.
✔ Boutique Services – Including family office support and specialized financial solutions for athletes, entertainers, and industry professionals.
Senior Data Analyst – Key Responsibilities & Qualifications
Major Duties & Responsibilities
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Database Development & Querying: Design and develop databases while writing advanced SQL queries within Azure Data Environments (Azure Data Lake, Azure SQL Managed Instance, Azure Purview, Azure Data Factory).
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Data Strategy & Optimization: Implement data collection strategies to enhance data quality and improve operational efficiency.
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Data Acquisition & Automation: Gather data from multiple sources, filter and clean datasets, and automate processes to maintain data integrity.
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Trend Analysis & Interpretation: Analyze complex datasets to identify trends, patterns, and insights that drive business decisions.
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Cross-Team Collaboration: Partner with business and technical teams to gain in-depth knowledge of business domains and align data solutions with organizational needs.
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Requirement Documentation: Translate business needs into data requirements for improved decision-making and process optimization.
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Continuous Improvement: Research and implement new tools and methodologies to enhance efficiency, performance, and cost-effectiveness.
Qualifications & Experience
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Education: Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Engineering, Statistics, or a related field.
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Experience: Minimum 5+ years of experience as a Data Analyst with expertise in Azure Data Lake, SQL Managed Instance, Data Factory, and Purview.
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Technical Skills:
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Advanced proficiency in SQL with the ability to write complex queries for extracting and analyzing large datasets.
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Strong analytical skills with a keen ability to interpret data and translate insights into actionable strategies.
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Hands-on experience with data management, ETL processes, and automation.
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Competencies:
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Strong technical expertise, analytical mindset, and problem-solving abilities.
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Excellent organizational and interpersonal skills with a focus on collaboration and teamwork.
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Ability to prioritize multiple tasks in a fast-paced environment while maintaining attention to detail.
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High standards of confidentiality, integrity, and professionalism in handling sensitive data.
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Featured Benefits
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Competitive Compensation: Performance-based discretionary bonus
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Health & Wellness: Comprehensive medical, dental, and vision insurance
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Retirement Planning: 401(k) plan with employer contributions
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Work-Life Balance:
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Paid maternity & parental leave
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Health Savings Account (HSA)
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Tuition reimbursement for continued education
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