Senior Data Analyst

1 week ago

Winnipeg, Canada Wawanesa Insurance Full time

Job Overview

We are looking for a Senior Data Analyst with deep analytical and technical expertise in driving data-driven solutions by querying, analyzing, profiling, and curating data sets. This individual will directly work with our Enterprise Data Warehouse, our ETL & data streaming processes, and complex data models from source systems such as our Guidewire Insurance Suite system. The ideal candidate will possess a strong analytical mindset, excellent communication and collaboration skills, and an understanding of insurance products and operations.

The Analyst will be part of our data delivery team and contribute by designing, documenting, testing, and supporting our data pipelines and repositories to meet business stakeholder reporting and data consumption requirements.

Job Responsibilities

Collaborate with cross-functional teams to identify and prioritize data consumption needs. Collect, analyze, and cleanse datasets to extract patterns, insights, and trends. Develop and enhance curated data sets to support underwriting, actuarial, and risk management strategies. Conduct ad-hoc data analysis to address specific business questions, challenges, or data quality issues. Assist Data Architects and Data Modelers in authoring diagrams and models. Perform impact assessments of upstream data system changes and enhancements. This includes high-level estimating and work breakdowns to respond to data changes. Facilitate data and reporting requirements sessions to flesh out detailed data provisioning requirements and scope of work. Develops and advises on best practices for business stakeholders, including consultations on data management and reporting explorations. Stay current with industry trends and best practices in data management, data analytics and insurance.

Qualifications

Degree or certificate in Computer Science, Statistics, Mathematics, or a related field. At least 4 years (6 or more is preferred) of experience as a Data Analyst, preferably in the insurance industry. Highly proficient in SQL including complex joins and query performance optimization techniques. Able to identify, validate, document, and determine root cause of Data Quality issues. Knowledgeable in various data file structures and format such as Excel, CSV, JSON, XML, Parquet, and database tables. Able to evaluate and design logical and physical data models including various data types and relationships between entities. Deep understanding of data lineage and data transformation rules, and therefore able to perform data change impact assessments. Understanding of dimensional models and related modeling techniques such as Kimball Data Warehousing/Business Intelligence techniques. Able to author and evaluate data-driven test cases. Experience in other data analysis processing languages such as Python or R would be an asset. Proficiency with MicroStrategy, Power BI, or other similar visualization and reporting tools would be an asset. Knowledge of AWS and its various tools & services (Oracle, Redshift, Aurora PostgreSQL) would be an asset. Experience with Peoplesoft or Financial data will be considered an asset. Knowledge of Guidewire Insurance Suite and its data model would be an asset. Experience in Jira and Confluence would be an asset. Experienced in Data Governance and Stewardship would be an asset.
Wawanesa is proud to be one of , a in Canada and a in Canada recognizing an exceptional place to work

Diversity, Equity & Inclusion 
Wawanesa is an equal opportunity employer and is committed to fostering a diverse workforce that is equitable and inclusive for all. Wawanesa provides equal employment opportunity to all employees and applicants without regard to an individual’s protected status: race/ethnicity, colour, religion, creed, sex or gender, sexual orientation, gender identity or expression, family or marital status, pregnancy/childbirth or related conditions, national origin, disability, military or veteran status, or any other protected status. Disability or medical-related accommodations are available upon request throughout all aspects of the recruitment and selection process.

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