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Data Visualization Engineer

🔥 5 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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Logo of Keystone Agency Partners

Keystone Agency Partners

1001 - 5000 employees

Founded 2020

🛡️ Insurance

💸 Finance

🤝 B2B

💰 Private Equity Round on 2023-01

Insurance • Finance • B2B

Keystone Agency Partners is a rapidly growing insurance brokerage platform that acquires and partners with independent insurance agencies throughout the United States. The company provides best-in-class services and capital investment to unlock potential and drive profitable growth for its partner agencies. Keystone Agency Partners supports independent insurance agencies by allowing them to maintain their brand identity while benefiting from enhanced resources and strategic support, thereby enabling them to achieve their financial goals and envisioned future.

📋 Description

• Design, develop, and maintain sophisticated Power BI dashboards, reports, scorecards, and analytical applications for business and executive audiences • Translate complex business requirements into intuitive and actionable analytical experiences • Develop scalable semantic models, measures, calculated columns, and business logic using DAX • Build efficient data transformations using Power Query • Apply dimensional modeling techniques, including star schema, fact and dimension design, hierarchies, and reusable semantic models • Design dashboards using data visualization, UX/UI, information hierarchy, and data storytelling principles • Optimize Power BI solutions for performance, scalability, usability, and maintainability • Implement advanced Power BI capabilities including drill-through, bookmarks, tooltips, dynamic measures, field parameters, and conditional formatting • Use AI and Generative AI tools to accelerate dashboard and report development, requirements interpretation, DAX development, documentation, testing, and troubleshooting • Leverage AI-assisted analytical capabilities to identify patterns, anomalies, trends, correlations, and business insights • Create conversational and AI-assisted data exploration experiences • Explore natural-language querying, AI-generated narratives, automated summaries, anomaly detection, forecasting, and intelligent visualization recommendations • Identify opportunities where AI can reduce manual reporting effort and improve productivity • Establish reusable patterns and best practices for responsible AI adoption within BI and analytics • Connect Power BI to cloud platforms, databases, APIs, data warehouses, lakehouses, Excel/SharePoint sources, and other enterprise applications • Collaborate with data engineering teams to define datasets and data models for analytics consumption • Perform data profiling, validation, reconciliation, and troubleshooting to ensure dashboard accuracy • Develop incremental refresh and data refresh strategies • Understand data dependencies and assist with root-cause analysis of data-quality issues • Implement Row-Level Security (RLS) and data-access controls • Follow standards for workspace management, deployment, naming conventions, documentation, and governance • Participate in development, testing, deployment, and production-support processes • Promote reusable datasets and governed semantic models • Partner with data governance and security teams on sensitive or confidential information

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, or related field required • Minimum of 3 years of experience in Business Intelligence, Data Analytics, or Data Visualization • Proven hands-on experience developing and maintaining solutions using Microsoft Power BI • Strong SQL skills, with the ability to write, optimize, and troubleshoot complex queries • Experience working with modern cloud data platforms such as Databricks, Snowflake, or similar technologies • Experience designing dimensional data models and enterprise semantic models • Demonstrated ability to optimize Power BI reports and datasets for performance • Strong understanding of data quality, validation, and reconciliation • Experience translating ambiguous business requirements into effective analytical solutions • Demonstrated proficiency using Generative AI or AI-assisted tools in analytics and BI workflows • Ability to critically evaluate AI-generated output for accuracy and business context • Strong analytical, problem-solving, and critical reasoning skills • Excellent written and verbal communication skills, including the ability to present technical concepts and data-driven insights to non-technical stakeholders • Ability to pass a criminal background check, as permitted by law • Preference given to candidates in Eastern or Central U.S. time zones

🏖️ Benefits

• Competitive Salary • Health Insurance Plans (PPO, HSA, Copay Options) • Dental Insurance • Vision Insurance • Company Paid Disability Insurance • Supplemental Insurance including Critical Illness, Accident, Legal, Pet Insurance • 401(k) with Safe Harbor Match • Paid Time Off • Paid Holidays

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