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Sr. Data Analyst (Flexible Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued colleague on our team, you will contribute to planning and implementing all aspects of content marketing in the consumer journey, as well as drive brand and business value with great digital experience design and content.

THE IMPACT YOU WILL MAKE
The Sr. Marketing Data Analyst role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Contribute to the development and advancement of digital marketing strategy to advance organizational objectives and goals for line of business through data-driven analyses and visualizations
  • Write SQL queries and develop data visualizations to improve awareness and understanding of marketing performance throughout the organization and all lines of business.
  • Conduct data mining and deep dive analyses into digital marketing results to develop recommendations, optimizations, and/or improvements to marketing strategy.
  • Assist the Analytics team with ad-hoc requests from a variety of internal stakeholders.
  • Deliver succinct, cohesive presentations to share findings with Analytics and other Marketing partners.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:

  • 2 years

Desired Experiences:

  • Bachelor's degree or equivalent

Skills

  • Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
  • Ability to understand organization of and relationships within data warehouse environments, as well as the ability to build complex SQL queries to extract structured datasets from those environments for use in reporting software
  • Ability to apply critical thinking and/or analytical thinking to real world business problems
  • Ability to gather and articulate big picture insights from discrete and/or unstructured data sets 
  • The group of skills related to Performance Measurement including evaluating programs and defining and measuring KPIs
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • The group of skills related to Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
  • Strong communication skills, including the ability to translate findings from data-driven analyses into digestible insights for technical and non-technical audiences

Tools

  • Expertise in Google Analytics
  • Advanced knowledge of SQL
  • Advanced skills in Tableau
  • Skilled in Excel

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.

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Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Sr. Data Analyst (Flexible Hybrid), Fannie Mae

Join Fannie Mae as a Sr. Data Analyst in Washington, DC, and step into a role where your analytical skills can make a real difference in the housing industry! At Fannie Mae, we are dedicated to helping millions of homeowners and renters achieve their dreams. As part of our dynamic team, you'll enjoy a flexible hybrid work environment that lets you control your own schedule while collaborating with passionate colleagues. In this key role, you'll harness the power of data to develop and enhance our digital marketing strategies. You’ll write SQL queries and create data visualizations that not only inform our marketing performance but drive actionable insights across the organization. Your work will include in-depth analyses of our marketing results, where you’ll identify trends and recommend optimizations. Presenting your findings to various internal stakeholders will allow you to translate complex data into digestible insights. If you're skilled in tools like Excel, Tableau, and Google Analytics, and have a knack for storytelling through data, this is a fantastic opportunity to showcase your talents! Fannie Mae is committed to fostering a diverse and inclusive workplace and values your contributions to the team. Ready to make a difference in people's lives with your data skills? We’d love to have you on board!

Frequently Asked Questions (FAQs) for Sr. Data Analyst (Flexible Hybrid) Role at Fannie Mae
What are the key responsibilities of a Sr. Data Analyst at Fannie Mae?

As a Sr. Data Analyst at Fannie Mae, you'll be responsible for developing digital marketing strategies backed by data, conducting thorough analyses, and creating visualizations that help enhance marketing performance. You'll also support internal stakeholders with ad-hoc requests and deliver presentations that convey your findings in a clear, engaging manner.

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What qualifications are required for the Sr. Data Analyst position at Fannie Mae?

Fannie Mae requires a minimum of 2 years of relevant experience for the Sr. Data Analyst position. A bachelor's degree is desired, along with expertise in SQL, Tableau, and Google Analytics. Strong analytical thinking skills and effective communication abilities to translate data insights are also essential.

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What tools do you need to be proficient in for the Sr. Data Analyst role at Fannie Mae?

To excel as a Sr. Data Analyst at Fannie Mae, you should be proficient in SQL for writing complex queries, Excel for data manipulation, and tools like Tableau for data visualization. Familiarity with Google Analytics is also essential for analyzing web data.

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How does Fannie Mae support flexibility for the Sr. Data Analyst role?

Fannie Mae embraces a flexible hybrid work model for the Sr. Data Analyst position, allowing you to work remotely while also providing office space for in-person collaboration. This flexibility helps foster a healthy work-life balance.

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What benefits does Fannie Mae offer to its Sr. Data Analysts?

Fannie Mae offers a comprehensive benefits package for Sr. Data Analysts, including health and life insurance, voluntary lifestyle benefits, and other perks designed to enhance employees’ physical, mental, emotional, and financial well-being.

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Common Interview Questions for Sr. Data Analyst (Flexible Hybrid)
Can you explain how you would approach developing a data-driven marketing strategy?

To develop a data-driven marketing strategy as a Sr. Data Analyst, I would first gather data from various sources such as Google Analytics and CRM systems. Then, I'd analyze this data to identify trends and insights that align with our business goals. I would collaborate with stakeholders to ensure the strategy addresses their needs and incorporate visualizations to clearly present my findings.

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What experience do you have with SQL and how have you utilized it in past roles?

In my previous roles, I have extensively used SQL to extract and manipulate large datasets for reporting. I wrote complex queries to gather needed information from data warehouses, which I then used to create visual reports that informed marketing decisions. My ability to build functional SQL scripts has helped my teams achieve clear insights efficiently.

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How do you make complex data insights understandable for different audiences?

To convey complex data insights effectively, I focus on storytelling. I distill data into key points relevant to the audience, using visuals like charts and dashboards to illustrate trends. Practicing empathy and understanding my audience’s expertise allows me to tailor my presentation accordingly.

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What tools have you used for data visualization and which do you prefer?

I have used various tools for data visualization, including Tableau and Power BI. I prefer Tableau for its versatility and user-friendly interface, which allows me to create interactive dashboards that stakeholders can easily navigate to extract meaningful insights.

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How do you stay updated on the latest trends in digital marketing analytics?

I stay updated on trends in digital marketing analytics by following industry blogs, attending webinars, and participating in online courses. Networking with other professionals in forums and conferences also helps me understand emerging practices and tools in data analytics.

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Describe a time when your analysis directly impacted a project or campaign.

Once, my analysis revealed that a particular audience segment was underperforming in our digital marketing campaign. By recommending targeted adjustments, such as tailored messaging and additional resources, the team saw a 30% increase in engagement with that segment within a month.

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How do you prioritize and manage multiple analyses at once?

I prioritize analyses based on project timelines and their potential impact on business objectives. I use project management tools to keep tasks organized and set clear deadlines, ensuring effective communication with team members about progress and any challenges that arise.

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Can you give an example of a challenging problem you solved using data analysis?

In a previous role, I encountered discrepancies in sales data that affected our marketing decisions. I methodically analyzed the datasets and identified the source of the error, which was a misalignment in data entry standards. By rectifying these standards, I not only solved the immediate issue but also improved our overall data integrity.

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What do you believe are the key skills that a Sr. Data Analyst should possess?

Key skills for a Sr. Data Analyst include strong analytical and critical thinking abilities, proficiency in SQL and data visualization tools, effective communication skills to relay insights, and an understanding of how to derive actionable strategies from data.

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How would you handle a scenario where your analysis disagrees with a stakeholder’s opinion?

In such scenarios, I would approach the conversation with empathy and an open mind. I would present my data-backed findings clearly and encourage a discussion that explores both perspectives. Engaging in collaborative problem-solving often leads to a more effective resolution.

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Fannie Mae’s mission is to facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.

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Full-time, hybrid
DATE POSTED
January 11, 2025

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