Sr. Business Data Analyst

As a Sr. Business Data Analyst at New American Funding, you will own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards. Your primary responsibilities include building Power BI dashboards using complex DAX functions, conducting extensive SQL analysis, and ensuring data quality. You'll engage with business leadership to present analytical findings, advocate for data-driven strategies, and support operations teams with actionable insights. Given the fast-paced nature of the mortgage industry, you must also be adept at managing competing priorities while keeping stakeholders informed.

To excel as a Sr. Business Data Analyst at New American Funding, you need strong SQL skills to analyze and create complex queries. Proficiency in Power BI for visualization and dashboarding is essential, alongside attention to detail for data cleansing tasks. Effective communication skills are crucial for presenting complex information clearly. Experience in the mortgage industry and familiarity with operational processes will also significantly enhance your success in this role.

Candidates for the Sr. Business Data Analyst position at New American Funding should possess a bachelor's degree in a relevant field like business, statistics, or computer science. A minimum of 3 years of experience as a Business Data Analyst, Data Engineer, or a related role is highly preferred. Familiarity with the mortgage industry, particularly the loan lifecycle, along with solid SQL skills and experience in Power BI, will set you up for success.

At New American Funding, the work environment for a Sr. Business Data Analyst is collaborative and fast-paced. You’ll be part of the BI and Analytics team, where your contributions help drive important business decisions. The flexibility of a remote or hybrid role allows for a healthy work-life balance while fostering open communication and teamwork with colleagues across the organization, whether you are in the office or working from home.

Problem-solving is a crucial aspect of the Sr. Business Data Analyst role at New American Funding. You’ll frequently be tasked with identifying and analyzing complex data sets to derive insights that guide operational improvements. Your ability to logically tackle challenges, reassure stakeholders with clear recommendations, and navigate ambiguity will greatly influence your effectiveness and the team's overall success in making data-driven decisions.

When responding to interview questions about your experience with Power BI, highlight specific projects where you utilized Power BI for data visualization. Discuss the types of dashboards you've created, how you integrated complex DAX functions, and any challenges you overcame in that process, demonstrating your problem-solving skills and analytical mindset.

When discussing SQL functions in an interview, mention specific functions such as JOIN, GROUP BY, and CTEs that you've employed to analyze data. Provide examples of how these queries helped uncover significant insights and informed decisions, showcasing your analytical skills and your ability to effectively use SQL to drive business outcomes.

In your response, outline your systematic approach to data cleansing and quality assurance. Discuss the key steps you take to ensure data integrity, such as identifying and managing duplicates, handling missing values, and checking for consistency. Mention any specific tools or methodologies you leverage to improve data quality before analysis.

When answering this question, share a specific example where you analyzed data and presented your findings to stakeholders. Detail the data you used, the insights you derived, and how those insights influenced the decision-making process. This response showcases your ability to translate data into actionable recommendations that support business objectives.

Explain your approach to simplifying complex data insights, such as using visual aids like charts and graphs and avoiding jargon. Discuss the importance of storytelling in data presentation, and how you tailor your communication style to the audience's level of understanding to ensure clarity and engagement.

In your response, highlight your commitment to continuous learning and professional development. Mention specific resources you utilize to stay informed, such as online courses, webinars, industry publications, or networking with other professionals. This shows your dedication to enhancing your skill set in the dynamic field of data analytics.

When discussing a challenging analytical problem, outline the specific challenge, the steps you took to analyze it, and the resolution process. Share any tools you utilized, data sources accessed, and methodologies applied, demonstrating your analytical skills and your ability to overcome obstacles efficiently.

To address this question, explain your time management strategies for prioritizing tasks in a fast-paced environment. Share techniques such as creating a priority matrix, maintaining open communication with stakeholders about timelines, and regularly reassessing project priorities. This showcases your organizational skills and your ability to handle competing demands.

In discussing key metrics, highlight the importance of metrics such as loan origination rates, average loan processing time, and customer satisfaction scores. Explain how these metrics can provide insights into operational efficiency and customer service, ultimately influencing strategic decisions within the mortgage industry.

As you respond, emphasize the role of data-driven decision-making in enhancing operational effectiveness, risk management, and customer experiences within the mortgage industry. Highlight how leveraging data insights helps companies like New American Funding adapt to market changes, optimize processes, and ultimately drive profitability and competitiveness.