Urgent Hiring :: Sr. Data Analyst (USC GC H4 L2EAD Only) :: Birmingham, AL Piscataway, NJ Charlotte, NC (Hybrid) Local Candidates Only with DL or Wi-Fi Utility Bill :: 12 + PROFILES ONLY
Abhay Dubey
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Job Title: Sr. Data Analyst (USC GC H4 L2EAD Only)
Job Location: Birmingham, AL Piscataway, NJ Charlotte, NC (Hybrid) Local Candidates Only with DL or Wi-Fi Utility Bill
Job Type: Contract
Interview Mode: Video
NOTE: 12 + PROFILES ONLY AND MUST HAVE STRONG GLOBAL INSURANCE CLIENT EXPERIENCE AND LINKEDIN CREATED IN 2020 OR BEFORE
JOB DESCRIPTION
We are seeking an experienced Senior Data Analyst with strong insurance and actuarial domain knowledge to support data analysis, reporting, governance, and business intelligence initiatives.
The role will involve working closely with business stakeholders, actuarial teams, underwriting and broking functions, data engineers, and reporting teams to understand business requirements, analyze source systems, define data mappings, and ensure the accuracy and integrity of data used for reporting and decision-making.
The ideal candidate will have hands-on experience in actuarial or insurance environments, strong SQL capabilities, and a proven ability to translate complex business requirements and rules into clear, documented data solutions.
Responsibilities
- Gather, analyze, and document business and data requirements from stakeholders across actuarial, underwriting, broking, finance, risk, and reporting functions.
- Conduct detailed analysis of source data to understand data structures, definitions, quality issues, relationships, and business context.
- Create and maintain comprehensive source-to-target mappings for data integration, reporting, and analytical solutions.
- Translate business requirements and actuarial or insurance processes into clear data specifications.
- Define, document, and validate business rules, data transformations, calculations, and reporting logic.
- Write and optimize complex SQL queries for data extraction, profiling, validation, reconciliation, and analysis.
- Investigate data discrepancies, identify root causes, and work with technical teams to resolve data quality issues.
- Perform data reconciliation across source systems, data platforms, actuarial models, reporting layers, and downstream outputs.
- Support the design and implementation of data products, reporting solutions, dashboards, and analytical datasets.
- Collaborate with data engineers and developers to ensure accurate implementation of mappings, transformations, and business rules.
- Validate data pipelines, reports, and analytical outputs against source systems and agreed business requirements.
- Contribute to data governance activities, including data definitions, ownership, lineage, quality rules, metadata, and control frameworks.
- Support the development and maintenance of governed reporting and trusted data sources.
- Analyze underwriting, broker, policy, premium, claims, exposure, and portfolio data as required.
- Work with actuarial teams to understand data requirements for pricing, reserving, forecasting, performance analysis, and portfolio reporting.
- Prepare clear documentation covering data sources, business rules, calculations, mappings, assumptions, and reconciliation results.
- Manage stakeholder expectations, communicate findings clearly, and facilitate agreement on requirements and data definitions.
- Identify opportunities to improve data quality, reporting efficiency, operational controls, and analytical processes.
- Support testing activities, including system integration testing, user acceptance testing, regression testing, and data validation.
- Provide guidance and mentoring to junior analysts and contribute to data analysis best practices.
Key Skills and Experience
Data Analysis and Technical Skills
- Strong experience as a Senior Data Analyst, Business Data Analyst, or similar role in an insurance, actuarial, financial services, or data-intensive environment.
- Excellent SQL skills, including:
- Complex joins and subqueries
- Common table expressions
- Window functions
- Aggregations and reconciliations
- Data profiling and validation
- Query optimization
- Proven experience conducting detailed source data analysis across multiple systems.
- Strong capability in preparing and maintaining source-to-target mapping documents.
- Experience documenting business rules, transformation logic, calculations, assumptions, and data definitions.
- Hands-on experience with data reconciliation, data quality analysis, and issue investigation.
- Understanding of data warehouses, data lakes, reporting layers, ETL/ELT processes, and analytical data models.
- Familiarity with Databricks and the Azure data ecosystem.
- Experience working with large, complex, and potentially distributed datasets.
- Exposure to reporting, dashboards, management information, and analytical outputs.
- Ability to interpret technical data structures and explain them in business terms.
Actuarial and Insurance Domain Experience
- Deep knowledge of the insurance domain, with hands-on experience in actuarial, underwriting, broking, or insurance data environments.
- Practical understanding of actuarial processes such as:
- Pricing and rating
- Reserving
- Loss ratios and profitability analysis
- Exposure and premium analysis
- Claims development
- Forecasting and portfolio performance
- Strong understanding of underwriting and broker data, including policy, submission, quote, bound, premium, commission, exposure, risk, and claims information.
- Experience interpreting insurance and actuarial metrics, business rules, and reporting requirements.
- Ability to work effectively with actuaries, underwriters, brokers, finance teams, and business leadership.
- Understanding of insurance reporting cycles, data dependencies, and key operational and regulatory considerations.
Data Governance and Reporting
- Experience working with data governance frameworks, standards, and controls.
- Knowledge of data ownership, stewardship, lineage, metadata, data dictionaries, and critical data elements.
- Experience defining and validating data quality rules and reconciliation controls.
- Exposure to governed reporting environments and consistent KPI or metric definitions.
- Ability to ensure that reporting outputs are complete, accurate, traceable, and aligned with approved business rules.
- Experience supporting reporting requirements, dashboard development, management information, or regulatory reporting.
Stakeholder and Professional Skills
- Strong requirements-gathering and stakeholder-management skills.
- Excellent written and verbal communication abilities.
- Ability to facilitate workshops, ask effective discovery questions, and challenge requirements constructively.
- Strong analytical, investigative, and problem-solving skills.
- Ability to convert complex business needs into clear technical documentation.
- High attention to detail and commitment to data accuracy.
- Comfortable working across business and technology teams in a collaborative environment.
- Ability to manage multiple priorities and deliver high-quality outputs within agreed timelines.
- Strong documentation, organization, and presentation skills.
Thanks & Regards,
Abhay
Source Infotech Inc.
E-mail: ab...@sourceinfotech.com
Hangout: waybi...@gmail.com
LinkedIn: linkedin.com/in/abhayy-dubey-a5425423a
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