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Data Analyst

Position Summary

We are seeking a talented and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results, and providing actionable insights to drive informed decision-making across both Focus Financial Partners and our network of businesses. You will work closely with senior leadership and operational stakeholders to understand their data needs, develop analytical solutions, and present findings in a clear and concise manner.  


This position can be in New York, NY /St. Louis, MO.

  

Primary Responsibilities

Access Policies & Standards

o   Develop, implement, and maintain access control policies and standards across systems and applications.

o   Collaborate with IT and cybersecurity teams to design and deploy identity and access management (IAM) solutions, including privileged access management (PAM).

o   Conduct regular access reviews and audits, ensuring appropriate permissions are granted and removed in a timely manner.

o   Support the drafting and lead the implementation of access policies, recommend improvements, and monitor user activities to ensure compliance with organizational policies.

o   Prepare reports and metrics on access management effectiveness.


Data Catalog Management

o   Lead the administration and optimization of the enterprise data catalog system, ensuring accurate inventory and classification of data assets.

o   Curate, structure, and manage the Business Glossary and Data Catalog to enhance accessibility and usability across data teams and data owners within our business.

o   Design data solutions, including metadata management, taxonomies, and data classification.

o   Translate business data governance requirements into technical requirements, and onboard users to data governance platforms.

o   Collaborate with cross-functional teams to prioritize feature development, drive catalog adoption, and build comprehensive acceptance criteria.


Qualifications

o   Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred.   

o   Proven experience in data analysis, business intelligence, or related roles.   

o   Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).   

o   Strong analytical and problem-solving skills with attention to detail.   

o   Excellent communication and presentation abilities.   

o   Ability to work independently and collaboratively in a fast-paced environment on multiple projects.   

o   Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus. 

o   Knowledge of machine learning and data mining techniques is desirable.  


About Focus Financial Partners

Focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by Focus to achieve their business objectives. For more information about Focus, please visit www.focusfinancialpartners.com.

 

The annualized base pay range for this role is expected to be between $60,000 - $70,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed and the applicant's skill set.  The base pay is just one component of the total compensation package for employees. Other reward may include an annual cash bonus and a comprehensive benefits package.


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What You Should Know About Data Analyst, Focus Financial Partners

Are you passionate about data and looking to make a real impact? Join Focus Financial Partners as a Data Analyst and be a key player in our dynamic team located in St. Louis, MO or New York, NY! In this role, you will dive deep into interpreting vast amounts of data, analyzing results, and transforming those insights into actionable strategies that empower decision-making across our organization and network of businesses. You will collaborate closely with senior leadership and operational teams to understand their unique data needs, and you'll develop analytical solutions tailored just for them. Your talent for presenting findings in a clear, engaging manner will shine as you help drive our data initiatives forward. As a Data Analyst, you'll be responsible for developing and maintaining access control policies, optimizing our enterprise data catalog, and guiding cross-functional teams on data governance. If you hold a degree in Statistics, Mathematics, Computer Science, or a related field, coupled with a knack for programming languages like SQL, Python, or R, this is the opportunity for you! Join us at Focus Financial Partners, where your analytical skills will not only thrive but will also contribute to the growth of our financial services empire. Your base salary will range between $60,000 and $70,000, alongside a comprehensive benefits package and potential for an annual bonus. Come transform data into insight and make a difference with us!

Frequently Asked Questions (FAQs) for Data Analyst Role at Focus Financial Partners
What are the primary responsibilities of a Data Analyst at Focus Financial Partners?

As a Data Analyst at Focus Financial Partners, your primary responsibilities will include interpreting complex data sets, conducting analyses, and presenting actionable insights to guide business decisions. You'll also be developing and maintaining access control policies, optimizing the enterprise data catalog, and contributing to the governance of data across the organization, ensuring compliance with relevant standards.

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What qualifications do I need to apply for the Data Analyst position at Focus Financial Partners?

To apply for the Data Analyst position at Focus Financial Partners, you typically need a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related fields. A Master's degree is preferred. Additionally, proven experience in data analysis and proficiency in programming languages like SQL, Python, or R are essential. Strong analytical skills and the ability to communicate findings effectively are crucial as well.

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What programming languages and tools should a Data Analyst at Focus Financial Partners know?

A Data Analyst at Focus Financial Partners should be proficient in programming languages including SQL, Python, and R. Familiarity with data visualization tools such as Tableau or Power BI is also advantageous, as these tools will help translate complex datasets into comprehensible visual formats for stakeholders.

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How does Focus Financial Partners support the professional growth of its Data Analysts?

At Focus Financial Partners, we value the growth of our employees. Data Analysts will have opportunities to participate in ongoing education and training programs, attend industry conferences, and collaborate with cross-functional teams, allowing for professional development and skills enhancement in analytics, data governance, and beyond.

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What is the work environment like for a Data Analyst at Focus Financial Partners?

The work environment for a Data Analyst at Focus Financial Partners is fast-paced and collaborative. You'll be working alongside senior leadership, operational stakeholders, and cross-functional teams, fostering a culture of innovation and knowledge sharing. Flexibility is also a component, as this role can be based in either St. Louis, MO, or New York, NY.

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Common Interview Questions for Data Analyst
Can you walk us through a data analysis project you worked on?

In your answer, start by outlining the problem you were addressing, the data you collected, the analytical methods you used, and the actionable insights you derived from the data. Be sure to highlight how these insights made a positive impact on business decisions.

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How do you ensure data accuracy and integrity?

Discuss your process for verifying data accuracy, such as conducting regular audits, using validation techniques, and cross-referencing data sources. Emphasize your attention to detail and best practices you follow to maintain high data quality.

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What tools and programming languages are you proficient in?

List the programming languages you have experience with, such as SQL, Python, or R, and describe specific tools you’ve used, like Tableau or Power BI for data visualization. Provide examples of how you have applied these tools in previous roles.

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How do you convey complex data findings to non-technical stakeholders?

Share your strategies for simplifying complex data findings, such as using clear visuals or analogies, and tailoring your presentation style to the audience. Discuss past experiences where you successfully communicated data insights to non-technical teams.

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Describe a time when you identified a trend from data that influenced a business decision.

Provide a specific example that outlines the context, the data you analyzed, the trend you identified, and the impact it had on decision-making. Be sure to explain how your analysis led to actionable steps that benefited the organization.

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How do you handle tight deadlines when working on data projects?

Discuss your time management skills and how you've prioritized tasks during tight deadlines. Share techniques you use to maintain productivity and quality, as well as any tools or methodologies that help you stay organized.

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What experience do you have with data visualization?

Talk about specific projects where you have used data visualization tools and the types of visualizations you created. Highlight your understanding of which types of visuals work best for different kinds of data and audiences.

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How do you approach data governance and compliance?

Explain your understanding of data governance principles, the importance of compliance, and any experiences you've had with implementing governance frameworks. Highlight how you monitor and ensure adherence to data policies in your previous roles.

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What methods do you use for data cleaning and preparation?

Share the processes and techniques you rely on for cleaning and preparing data, including tools and coding languages you use. Provide examples of specific challenges you've faced while preparing data and how you overcame them.

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How do you stay updated with the latest trends and technologies in data analytics?

Discuss the strategies you utilize to keep your skills sharp and stay informed, such as following industry blogs, attending workshops, participating in online courses, or engaging with data analytics communities.

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We want to be the partnership of choice for entrepreneurial, growth-oriented, fiduciary wealth management firms.

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Full-time, on-site
DATE POSTED
March 21, 2025

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