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Technical Business Analyst
1 month ago
Location: Chicago, IL
Position Type: Contract
Job Summary:
Working closely with business and technical partners, this position collaboratively designs data assets to meet the reporting and analytics needs of the Company's P&C organization. In this role, the analyst is responsible for designing, creating, and maintaining data solutions optimized for business consumption, e.g., centralized business intelligence teams, front line leaders, operational analysts, etc. The analyst will have the opportunity to develop technical solutions that deliver data to non-technical users as well as advanced data users. As a senior member of a fast-paced team in a growing organization, the analyst works in parallel on multiple projects and workflows to develop cohesive and comprehensive solutions that deliver key data sets quickly and efficiently.
Job Responsibilities:
- Requirements gathering: working with business users and data engineers gather and refine requirements to develop use cases for prioritization.
- Data modeling: create data models that represent the data used by the organization, including conceptual, logical, and physical data models.
- Data integration: ensure that data from various sources can be integrated and used together seamlessly.
- Data storage: design and recommend best practices for implementing data storage systems in Company's data cloud (Snowflake).
- Data analysis: provide guidance on how to use data to drive business decisions, while assisting internal partners with developing tools and processes for analyzing data.
- Data security: Work with IT Platform teams to ensure the security and privacy of Company's data, including access control, data encryption, and data masking.
- Data governance: Work closely with Company's enterprise data governance team to influence and adhere to policies and procedures for managing data quality, metadata, and data lifecycle management.
- Enterprise Leadership: lead and collaboratively work within large team projects, providing direction, technical assistance, scope negotiation, scheduling, and status reporting.
- 5+ years relevant work experience gathering business requirements, designing data delivery solutions, working with IT teams to implement data solutions, and communicating findings across business and IT groups.
- Experience designing end-to-end reporting and analytics solutions that align with architectural, data governance, and data security standards.
- Experience collaborating with enterprise cross-functional teams is essential.
- Advanced capability to work with database modeling tools such as ER Studio or Erwin.
- Experience moving data in cloud environments such as Snowflake and AWS.
- Must be comfortable with ambiguity and have the confidence to independently dig for the details necessary to develop comprehensive data solutions.
- Work independently with limited supervision.
- Exhibit a mindset of continuous improvement, learning, and innovation.
- Consistently demonstrate constructive critical thinking and problem solving.
- Consider issues from multiple and differing perspectives and creates novel recommendations.
- Preferred 1+ year in the insurance industry, with a solid knowledge base of P&C terminology, operational acumen and financial concepts as applied by actuarial and product management functions.
- Ability to design table structures and relational / dimensional database structures to support reporting and analytics.
- Ability to design solutions in a cloud environment that may include multiple services, combinations of IaaS, PaaS, and SaaS offerings by one or more vendors.
- Demonstrated advanced data query and manipulation skills using SQL, Python, R, Informatica, or similar tools, working with sources such as Snowflake, SQL Server, Oracle, and S3.
- Ability to lead and mentor in development of data mart and semantic layer solutions that align to Architecture and Data Governance Principles
- Clear, concise, and effective oral and written communication skills with significant experience presenting technical solutions to users with varying degrees of technical knowledge. Understand perception of others and tailor messages for the audience to build credibility and rapport.
- Demonstrated ability to handle multiple competing priorities effectively while maintaining data integrity and paying attention to the details.
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