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Data Analytics Manager

Responsibilities:

  • Scope, build, develop and maintain data automation systems, dashboards and performance metrics in support of business decisions.
  • Support cross-functional projects using data modeling, dashboards and analysis techniques to discover insights that will help guide strategic decisions.
  • Extract data from various sources, clean and transform data to ensure accuracy for analysis.
  • Examine, interpret and report results of analytical insight to Senior Director, CFO and other leaders across the firm.
  • Manage and oversee data and report requests, ensuring efficient tracking of submissions, prioritization of tasks, and proper approval processes.
  • Anticipate future demands of the business and the FPA group and design/implement solutions to meet these needs.
  • Participates in interviewing and candidate selection, assimilation, and training of new staff, as needed.
  • Manages hybrid/remote work arrangements, ensuring that all work is performed without reduced productivity or efficiency due to the remote arrangement, maintaining regular communication with the remote worker, and managing agreed upon metrics to measure performance.
  • Provides guidance/coaching to staff members through real-time feedback during the course of day-to-day interactions.
  • Completes performance evaluation process in a thoughtful, fair, and timely manner; ensures development plans are in place to monitor staff growth and make appropriate progress against stated developmental goals; monitors and remediates difficult performance situations and works with Senior Director to take appropriate action.
  • Identifies areas for additional training to ensure that skill levels meet the firm’s high standards of excellence; provides guidance and development opportunities to staff members to help them achieve longer-term career aspirations.
  • Holds regular staff meetings to discuss departmental operations issues, firm initiatives, and provide continuing education on policies and trends relating to financial analytics issues.
  • Bachelor’s degree required; MBA preferred. Concentration in finance, math, statistics, computer science, information management.
  • Proficiency in Microsoft Power BI, including expertise in data modeling, DAX calculations, and data visualization techniques.
  • 3+ experience in visual design, data storytelling, and experience working closely with business stakeholders to understand their data needs and translate them into actionable reports.
  • Strong proficiency with Microsoft Suite of Tools and ability to quickly adapt to new software and systems.
  • Law firm experience is preferred.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analytics Manager, Fawkes IDM

As a Data Analytics Manager at our firm, you'll play a pivotal role in influencing decisions through data-driven insights. Your daily responsibilities will include scoping, building, developing, and maintaining comprehensive data automation systems and performance metrics that support our business objectives. Collaboration is key; you'll be working across various departments to leverage data modeling and analysis techniques to extract actionable insights that can guide our strategic direction. A big part of your job will involve cleaning and transforming data from multiple sources to ensure accuracy for our analyses. You’ll also be presenting these analytical insights to senior leadership, including the Senior Director and CFO, which makes strong communication skills essential. Managing report requests efficiently and overseeing prioritization of tasks will be part of your core duties, as will foreseeing future data needs within the Financial Planning and Analysis (FPA) group. In this management role, you’ll engage in hiring and training new staff, oversee hybrid work models effectively, support staff development with guidance and coaching, and ensure that performance evaluations are handled thoughtfully. The ideal candidate will have a Bachelor’s degree, preferably an MBA with a focus in finance or related fields, and at least three years of experience in visual design and data storytelling, particularly in a law firm setting. Proficiency in Microsoft Power BI and the Microsoft Suite is crucial for this role, as you'll be translating complex data needs into straightforward actionable reports. Join us in making data a core part of our business strategy, and help us drive our company to new heights.

Frequently Asked Questions (FAQs) for Data Analytics Manager Role at Fawkes IDM
What are the key responsibilities of a Data Analytics Manager at our firm?

The Data Analytics Manager at our firm is responsible for scoping, building, and maintaining data automation systems and performance metrics. This role also entails supporting cross-functional projects with data modeling and analysis to uncover insights that guide strategic decisions. Additionally, the manager will oversee data and report requests, ensure data accuracy through cleaning and transformation, and deliver analytical insights to senior leadership.

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What qualifications are needed for the Data Analytics Manager position?

The ideal candidate for the Data Analytics Manager position should possess a Bachelor’s degree, with an MBA preferred. A concentration in finance, math, statistics, or computer science is advantageous. Furthermore, a minimum of three years of experience in visual design and data storytelling, especially in a law firm context, along with proficiency in Microsoft Power BI, is required.

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How does the Data Analytics Manager support staff development?

In this role, the Data Analytics Manager is responsible for providing guidance and coaching to team members, conducting regular performance evaluations, and establishing development plans. The manager identifies training needs and offers opportunities for growth to help employees achieve their career aspirations while maintaining high standards of excellence within the team.

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What tools and technologies does the Data Analytics Manager need to master?

Proficiency in Microsoft Power BI is essential for the Data Analytics Manager due to its application in data modeling, DAX calculations, and visualization. Additionally, strong skills with the Microsoft Suite of Tools are necessary to effectively communicate data insights and collaborate with business stakeholders.

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What is the work environment like for a Data Analytics Manager?

The Data Analytics Manager will work in a hybrid/remote environment, requiring excellent communication and management skills to ensure all team members maintain productivity. Regular staff meetings and ongoing interactions will be essential to monitor performance metrics, discuss departmental operations, and address any work-related challenges that arise due to remote arrangements.

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Common Interview Questions for Data Analytics Manager
Can you describe your experience with data modeling and visualization?

To effectively answer this question, focus on specific projects where you used data modeling and visualization tools, such as Microsoft Power BI. Discuss the processes you followed to clean and transform data, the insights you generated, and how these insights impacted business decisions. Providing concrete examples will help demonstrate your expertise in the field.

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How do you ensure data accuracy and integrity in your analyses?

When answering this question, highlight your methods for data cleaning and transformation, such as validating data sources and employing checks for accuracy. Emphasizing your systematic approach to ensuring that the data you use for analyses is reliable will showcase your attention to detail, a critical aspect for a Data Analytics Manager.

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What strategies do you use to communicate complex data insights to non-technical stakeholders?

Focus on your ability to simplify complex data stories into actionable insights. Discuss your techniques for data storytelling, such as using visualizations to illustrate trends and findings. Mention some tools you’ve used and any feedback you’ve received regarding your communication style.

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How do you prioritize data and report requests from different departments?

Discuss the methods you've implemented to manage and prioritize tasks effectively, such as developing a tracking system or regular communication with stakeholders to assess urgency and impact. Providing specifics about your decision-making criteria can help convey your organizational skills.

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What is your approach to staff development and performance evaluations?

Describe your philosophy around mentorship and staff development. Share examples of how you've mentored team members in the past, created development plans, and conducted performance evaluations. Emphasize your commitment to fostering skills that meet the firm's high standards.

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How do you keep abreast of trends and changes in data analytics?

Illustrate your commitment to professional development by mentioning the resources you follow, such as industry publications, webinars, or conferences. Discuss any certifications you've earned or courses you've completed that enhance your knowledge in analytics.

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Can you provide an example of a complex data project you managed?

Provide a detailed narrative about the project, including the objectives, tools used, challenges faced, and outcomes achieved. This will demonstrate your project management skills, technical expertise, and ability to deliver results under pressure.

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What role does collaboration play in your data analytics work?

Highlight your experience working with cross-functional teams, underscoring the importance of collaboration in gathering requirements and understanding diverse data needs. Mention instances where collaboration led to successful project outcomes, reinforcing the value you place on teamwork.

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How do you handle difficult performance situations with your team?

Share your approach to addressing performance issues, focusing on open communication and constructive feedback. Discuss a specific instance where you successfully navigated a tricky situation, emphasizing your commitment to maintaining team morale while ensuring individual accountability.

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What are the key performance indicators (KPIs) you focus on as a Data Analytics Manager?

Identify specific KPIs relevant to your previous roles, detailing why they matter to business success. Discuss how you have used these metrics to inform decision-making and highlight any successful changes you've implemented based on data-driven insights.

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Fawkes IDM offers flexible contracts to partner with our clients including Direct Hire Placement, Retained Executive Search, and Consulting models.

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Full-time, hybrid
DATE POSTED
March 16, 2025

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