Data Analyst, Business Intelligence - MSI at The Baldwin Group

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Apr, 26

Salary

0.0

Posted On

03 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, Power BI, Tableau, Qlik Sense, SQL, Python, Microsoft Fabric, Data Modeling, Power Automate, Power Apps, AI Tools, MS Office, Excel, Dashboard Development, Reporting

Industry

Insurance

Description

Why MSI? We thrive on solving challenges. As a leading MGA, MSI combines deep underwriting expertise with insurer and reinsurer risk capacity to create specialized insurance solutions that empower distribution partners to meet customers’ unique needs. We have a passion for crafting solutions for the important risks facing individuals and businesses. We offer an expanding suite of products – from fully-digital embedded renters coverage to high-value homeowners insurance to sophisticated commercial coverages, such as cyber liability and habitational property – delivered through agents, brokers, wholesalers and other brand partners. Our partners and customers count on us to deliver exceptional service through a dedicated team that makes rapid resolutions a priority. We simplify the insurance experience through our advanced technology platform that supports every phase of the policy lifecycle. Bring on your challenges and let us show you how we build insurance better. Position Summary The BI Data Analyst will be responsible for delivering actionable insights through analysis, reporting, and visualization to support decision-making across the organization. This role involves creating and maintaining dashboards, reports, and data visualizations, as well as leveraging data to forecast trends and guide business activities. The ideal candidate is curious, detail-oriented, and skilled at exploring data from multiple angles, conducting research, identifying trends, and collaborating with colleagues to integrate data from various sources for informed recommendations. Principal Responsibilities Design, develop, and manage business intelligence solutions for the organization. Build and maintain dashboards, generate reports, and prepare data visualizations to guide business decisions. Collaborate with stakeholders to collect, structure, and validate data from multiple sources. Audit, compile, and reconcile data to ensure accuracy and integrity. Communicate findings internally and externally, answering questions and providing clarity on data and reports. Work on complex projects of large scope, ensuring timely and accurate delivery. Automate manual reporting processes and implement efficiencies. Support the implementation of new practices, processes, and procedures. Create ad-hoc datasets and visualizations (graphs, tables, charts) based on business requests. Education, Experience, Skills & Abilities Bachelor’s degree in a related field preferred; equivalent experience considered. 3–5 years of data analytics or related experience. Strong data visualization skills with Power BI (preferred), Tableau, and Qlik Sense Experience with Power Automate and Power Apps. Insurance industry experience preferred. Hands-on experience with Microsoft Fabric ecosystem, including: OneLake, Lakehouse, Data Warehouse, Notebooks, Pipelines, Dataflows, and Power BI integration. Strong knowledge of data modeling, SQL, and Python for Fabric Notebooks. Ability to understand database structures, relationships, and dependencies. General understanding of AI for personal productivity, including: Using AI tools for data analysis, report automation, and decision support. Awareness of AI trends and their impact on BI workflows. Proficiency in MS Office, especially Excel (pivot tables, VLOOKUP, formulas, charts, and graphing). Special Working Conditions Fast-paced, multi-tasking environment requiring adaptability and attention to detail. Important Notice This position description outlines the general scope and responsibilities of the role and is not a contract. Additional duties may be assigned as needed to support organizational goals. Reasonable accommodations will be provided for applicants and employees with medical or religious needs. #LI-JW2 #LI-REMOTE Click here for some insight into our culture! The Baldwin Group will not accept unsolicited resumes from any source other than directly from a candidate who applies on our career site. Any unsolicited resumes sent to The Baldwin Group, including unsolicited resumes sent via any source from an Agency, will not be considered and are not subject to any fees for any placement resulting from the receipt of an unsolicited resume. The Baldwin Group (previously Baldwin Risk Partners) is a cohesive group of experts in business insurance, employee benefits, retirement planning, and all areas of private and personal insurance. Since 2011, we’ve evolved from a local business into a national firm with a vast network of specializations serving two million clients across the country. At The Baldwin Group, we provide solutions so our clients can pursue what’s possible for themselves, their families, and their businesses. Whether renting a first apartment, opening a small business or taking a company public, we offer solutions to support clients at every step of their journey giving them peace of mind to pursue their purpose, passion, and dreams. We Protect the Possible. The Baldwin Group is an equal employment opportunity firm and strives to comply with all laws prohibiting discrimination based on race, color, religion, age, sex (including sexual orientation and gender identity), national origin or ancestry, disability, military status, marital status, and any other category protected by federal, state, or local laws. All such discrimination is unlawful, and all persons involved in the operations of the firm are prohibited from engaging in this conduct.

Responsibilities

The BI Data Analyst will design, develop, and manage business intelligence solutions, including dashboards and reports, to support decision-making. They will collaborate with stakeholders to validate data and communicate findings effectively.