Business Intelligence Analyst Consultant (Remote)

As a Business Intelligence Analyst Consultant at Thrivent, you will spearhead crucial projects aimed at providing strategic insights that directly impact our organizational goals. You’ll collaborate with senior leaders to define complex hypotheses and conduct in-depth analyses using advanced SQL queries. Additionally, you will mentor other BI Analysts and champion the establishment of new data systems in partnership with IT. Your role will be pivotal in translating complex data into actionable insights that guide decision-making across the organization.

To qualify for the Business Intelligence Analyst Consultant position at Thrivent, you should possess a minimum of a bachelor's degree in quantitative fields such as economics, applied mathematics, or management information systems, along with at least 7 years of experience in financial services or analytics. Expert skills in analytics tools and a profound understanding of statistical modeling and database management are essential. A master’s degree is preferred, as is significant business acumen, particularly in insurance or investment settings.

At Thrivent, we understand the importance of continuous growth and learning. Our Business Intelligence Analyst Consultants have ample opportunities for professional development through mentoring programs, engaging with senior leaders, and leading complex projects. You will be involved in training and guiding less experienced analysts, allowing you to enhance your leadership skills while fostering an environment of collaboration and shared learning.

Business Intelligence Analyst Consultants at Thrivent use a range of advanced analytics tools including SAS, SPSS, and R to conduct detailed analyses and create statistical models. You will also engage with relational databases and data warehousing technologies to enhance reporting and data mining efforts. Your expertise in complex SQL queries and various data extraction tools will be critical for providing the actionable insights needed to drive our financial strategies.

Absolutely! This Business Intelligence Analyst Consultant role at Thrivent is a full-time remote opportunity, offering you the flexibility to balance your work and personal commitments. While you have the option to work from anywhere in the United States, team members in the Minneapolis, MN or Appleton, WI areas can choose a hybrid model allowing both on-site and remote work arrangements.

When defining hypotheses for analysis as a Business Intelligence Analyst, I start by closely collaborating with key stakeholders to understand their business goals and challenges. I then utilize data exploration techniques to identify trends or patterns that can inform potential hypotheses, ensuring they are aligned with the organization's strategic objectives. This method not only fosters a data-driven environment but also builds trust with leadership by demonstrating how our analyses contribute to informed decision-making.

In my previous roles, SQL has been a vital tool for data analysis and reporting. For instance, I developed complex queries to extract and manipulate large datasets, which enabled my team to uncover insights that directly influenced our strategies. My proficiency in SQL allows me to efficiently analyze data patterns, perform aggregations, and ensure data integrity, which are crucial for delivering actionable insights to senior leadership.

Communicating complex data insights effectively to non-technical stakeholders involves simplifying the information and tailoring my message to the audience. I typically focus on the storytelling aspect of the data, using visualizations to illustrate key points clearly and engagingly. Additionally, I emphasize actionable implications rather than technical jargon, ensuring decision-makers can grasp the insights' relevance easily and act accordingly.

My experience with statistical modeling includes designing and executing various models such as regression analysis and CHAID. In my previous role, these models helped us predict customer behavior and inform marketing strategies, ultimately resulting in increased customer engagement and improved revenues. I regularly engage with advanced statistical methods to analyze trends that directly support data-driven decision-making.

Prioritizing multiple projects requires strong organizational skills and efficient time management. I often use project management tools to track deadlines and set clear priorities based on business impact. I also maintain open communication with team members and stakeholders to manage expectations. By breaking down larger projects into smaller, manageable tasks and allocating time effectively, I can deliver high-quality analyses consistently.

Data visualization is a powerful tool I frequently use to enhance reporting. By translating complex data into clear, concise visuals such as charts and graphs, I make insights more accessible to stakeholders. This approach has enabled me to highlight trends and relationships quickly, facilitating discussions around strategic decisions. I always select the right visualization techniques depending on the audience and the data types to convey messages effectively.

In a previous role, I led a team through a complex data project involving the integration of new data sources for enhancing our analytical capabilities. I organized regular check-ins to ensure alignment and provide guidance while promoting collaboration amongst team members. By establishing clear roles and responsibilities, we were able to complete the project ahead of schedule, which provided timely insights that significantly influenced our marketing strategies.

Ensuring data integrity is crucial in my analyses. I implement a systematic approach that includes validating data sources, conducting quality checks throughout the analysis process, and performing peer reviews before final reporting. By establishing protocols for data entry and management, along with consistent documentation practices, I can maintain the data’s reliability and ensure the accuracy of the insights generated.

When evaluating business performance, I focus on metrics closely aligned with the organization's strategic goals. For instance, I often look at financial metrics such as ROI, customer acquisition costs, and conversion rates. Additionally, operational metrics like efficiency ratios and customer satisfaction scores help provide a well-rounded view of performance. By focusing on these key indicators, I can help teams identify areas for improvement and drive better outcomes.

Staying updated with the latest trends in business intelligence and analytics is essential for my role. I regularly read industry journals, participate in relevant webinars, and attend conferences to network with other professionals. Following thought leaders on platforms like LinkedIn and engaging in online communities also helps me keep pace with emerging tools and technologies, which I can apply to enhance the processes at my organization.