Data Analyst

Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority, and program management. The common thread woven throughout our success story is our collaborative and driven team of people. Our teams are empowered and work together to find solutions. We have a passion culture – with teamwork, collaboration and a focus on growing individuals and giving them the tools & development opportunities to have a successful career.Jencap Partners is comprised of our corporate operations and service teams who support our staff in their commitment to achieve greatness and exceed the expectations of our agency partners. The goal of corporate functions is to provide the necessary infrastructure, expertise, and services that enable our business to thrive, while also contributing to the overall success, efficiency, and sustainability of the organization. We act as partners, aligning support strategies to achieve Jencap’s broader objectives.We are seeking e Data Analyst to support insurance data analytics, data warehouse operations, and Azure-based production data pipelines. The role requires strong analytical skills and hands-on experience with Azure Data Factory (ADF), SQL Server, Python, and BI reporting tools, along with working knowledge of Data Warehousing and Master Data Management (MDM) concepts within the insurance domain.The candidate will support production jobs, perform data validation, design ad-hoc scripts, programs, ETL pipelines, and implement small production fixes while ensuring data quality, reliability, and alignment with enterprise data standards.The Dat Analyst will work on a hybrid schedule from our New York office.Responsibilities:The Data Warehouse Data Analyst is a hands-on position with a focus on supporting the data accuracy and completeness within the enterprise data warehouseThe position will work within IT to help Jencap DWH team to maintain the enterprise data warehouse architecturePerform data analysis and validation on insurance data including policy, claims, customer, premium, and transaction dataExtract data from multiple sources/systems to support larger analytics projects and initiatives, Address data gaps across various domains to enhance overall data quality.Support and maintain data warehouse and production ETL pipelines built using Azure Data Factory (ADF), SQL Server, and Azure Blob StorageSupport Master Data Management (MDM) initiatives by ensuring data consistency, standardization, consolidation, and reference data validationUse BI reporting tools (Power BI, SSRS, Tableau, or similar) to:Validate data accuracy and completenessPerform source-to-target reconciliationSupport operational and business validation checksDesign and develop ad-hoc ETL processes using ADF and Python for analytics, fixes, and enhancements as part of production support activitiesMonitor production jobs, troubleshoot failures, and perform root cause analysis daily basisAbility to apply statistical techniques and exploration data analysis using tools such as Python, SQL, or ExcelTrack scheduled processes (monthly/daily), coordinate with business divisions on data anomalies or missing data, and support production activitiesCreate and maintain technical and functional documentation (requirements, design, process flows)Identify opportunities to improve data processes and analytics solutions using technologyDeliver high-quality analytical outputs and visual storytelling to support management decision-makingCollaborate with cross-functional teams, including senior engineers, analysts, and business stakeholders, to support enterprise data initiativesExperience implementing production fixes based on data analysisRequirements:Bachelor’s or Master’s degree in Computer Science, Information Technology, Finance, or a related field5+ years of experience in the Insurance domain, preferably within Brokerage or P&CStrong understanding of Data Warehousing, Data Lakehouse, and Master Data Management (MDM)Hands-on experience supporting production environments on Azure Cloud with SQL ServerApply data warehouse principles, including fact/dimension modeling, historical data management, reconciliations, and data conversions as part of Jenap DWHAdvanced proficiency in SQL (complex queries, joins, stored procedures, indexing)Strong hands-on experience with PythonExperience with ETL tools such as ADF, SSIS, Informatica, or DataStageProficient in MS Excel for data analysis and validation (Pivot Tables, Power Pivot)Experience using BI reporting tools for data validation and reconciliationAbility to work independently and deliver results in a fast-paced environmentHands on experience with API integrationHands-on experience with version control systems - GitHubNice to have experience for any Master Data Management tool - ProfiseeThe base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, licensure, demonstrated competencies, geographic location, and other factors. Discretionary incentive compensation may be awarded. Jencap also offers a range of benefits and programs, based on eligibility, which currently include but are not limited to; comprehensive health care coverage, a 401k plan, and tuition reimbursement. Jencap is an emerging and rapidly growing leader in the industry and as such, we approach talent acquisition as an opportunity to identify the best talent. Therefore, the level of the role and compensation may vary depending upon the best available candidate.Want the opportunity to build something new? Expand your knowledge and stretch your experience through new and emerging risks? Have your voice heard, your skills properly applied, and to add tangible value to an organization? You’re in the right place.Jencap is dynamic, bold, tenacious, and trusted in the industry. Here, you are not just one of the many, you are one of us. We truly are better together. Jencap is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or citizenship status, sexual orientation, gender identity or expression, pregnancy, marital or familial status, disability status, medical condition, genetic information, military or veteran status, political affiliation, or any other characteristic protected by law. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard, as we believe that that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.