Job Description - Associate Consultant Data Visualization
About Our Client
Our client specializes in data analytics for the insurance industry. They help their clients leverage data and advanced analytics to reduce loss ratios, increase revenue, improve claim processing efficiency, and enhance customer satisfaction. They provide technical leadership to help insurance companies develop future-proof data solutions and elevate their technology teams. Their solutions are adaptable and continuously improving, enabling self-service at scale on all types of data, whether it's big data, structured data, or unstructured data. Their singular focus on insurance data analytics enables them to bring unparalleled expertise and value to their clients.
Who You’ll Work With
As part of their team, you will collaborate closely with industry-leading data analytics experts and their clients - including C-level executives, data owners and users.
About You
As an Associate Consultant, you will play a critical role in leveraging data analytics and visualization tools to drive data-driven decision-making for our clients. Working closely with senior consultants and client teams, you will be responsible for analyzing complex datasets, creating compelling visualizations, and delivering actionable insights through interactive Power BI dashboards. This position presents an excellent opportunity for talented individuals to develop their analytical and consulting skills within a high-performing and intellectually stimulating environment.
What You’ll Do
Data Analysis and Interpretation:
Collaborate with cross-functional teams to understand business challenges and define data requirements.
Perform data discovery on insurance datasets to identify relationships, patterns, anomalies, and value ranges.
BI Dashboard Development:
Create visually stunning and interactive dashboards, often using Power BI, to effectively communicate complex data insights.
Collaborate with clients to gather requirements and translate business needs into compelling visualizations.
Design and implement data models, calculations, and KPIs to support dashboard development.
Ensure data accuracy and integrity by conducting thorough data validation and testing.
Write SQL queries to retrieve, manipulate, and aggregate data from relational databases.
Client Engagement and Relationship Management:
Participate in client meetings, workshops, and presentations to understand client objectives and challenges.
Build strong relationships with client stakeholders by delivering high-quality insights and exceptional client service.
Communicate findings in a clear and concise manner to non-technical audiences.
Support the development of client deliverables, including reports, executive presentations, and recommendations.
Continuous Learning and Professional Development:
Stay up to date with the latest trends and best practices in data analytics, visualization, and consulting.
Develop expertise in advanced analytics techniques, such as machine learning and predictive modeling.
Seek out and actively participate in internal and external training programs to enhance skills and knowledge.
Contribute to knowledge-sharing initiatives by sharing insights, experiences, and industry research.
Required Qualifications
Strong academic record, demonstrating analytical and problem-solving capabilities.
Proficiency in data analysis and visualization tools, with hands-on experience in Power BI or similar BI platforms.
Proficiency in SQL for data querying, manipulation, and retrieval from relational databases.
Familiarity with statistical methods, data mining techniques, and data modeling concepts.
Excellent communication and interpersonal skills to effectively collaborate with diverse teams and clients.
Proactive mindset with the ability to work independently and as part of a team in a fast-paced, results-oriented environment.
Strong attention to detail, with a commitment to delivering high-quality work within tight deadlines.
Familiarity with programming languages such as Python or R is a plus.
Internships in this area are highly desirable.
Bachelor's degree or higher in Business Analytics, Information Management, Data Science, Data Analytics, or a related discipline is required.
Must be local to the Chicago, IL area.
Must be willing to travel up to 50% to client locations and work in a hybrid work environment.
Must be authorized to work for any U.S. organization without requiring sponsorship now or in the future.
Benefits
Competitive compensation package including base salary, incentive compensation, and equity.
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