Data Analytics

Cynet Systems•Mason, OH

About The Position

This role focuses on leading the design, development, and implementation of enterprise reporting and analytics solutions. The position involves translating business requirements into scalable and efficient BI dashboards, reports, and data models. Key responsibilities include optimizing SQL queries, designing data models, driving data quality and governance, and building interactive visualizations using Power BI and/or Tableau. The role also entails defining reporting standards, collaborating with stakeholders, analyzing large datasets, leading technical teams, and participating in BI architecture discussions. Ensuring optimal report performance, scalability, security, and maintainability is crucial, along with close collaboration with various business and technical teams for successful analytics solution delivery.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related field.
8+ years of experience in Data Analytics, Business Intelligence, Reporting, or Data Warehousing.
Advanced expertise in SQL, including complex querying, optimization, indexing strategies, and performance tuning.
Strong experience in data modeling, dimensional modeling, and database design.
Proven experience developing enterprise dashboards and reports using Power BI and/or Tableau.
Experience creating semantic models, datasets, data marts, and reporting frameworks.
Strong understanding of BI architecture, reporting governance, and analytics best practices.
Experience leading technical teams and delivering enterprise-scale reporting solutions.
Excellent analytical, problem-solving, and stakeholder management skills.
Strong verbal and written communication skills with the ability to present insights to executive leadership.

Nice To Haves

Experience with Python for data analysis and automation.
Exposure to AI/ML-driven analytics solutions.
Experience with enterprise reporting modernization initiatives.
Knowledge of healthcare data domains such as Claims, Membership, Provider, or Clinical Data.
Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated industries.
Exposure to cloud-based analytics platforms such as Azure, AWS, or Google Cloud.
Experience with ETL/ELT frameworks and data integration processes.
Knowledge of data governance, data quality, and metadata management practices.
Experience with Agile delivery methodologies and DevOps processes.
Relevant certifications in Power BI, Tableau, Azure Data, or cloud analytics technologies.

Responsibilities

Lead the design, development, and implementation of enterprise reporting and analytics solutions.
Translate business requirements into scalable and efficient BI dashboards, reports, and data models.
Develop and optimize complex SQL queries, stored procedures, views, and large-volume data processing solutions.
Design and maintain dimensional and relational data models to support reporting and analytics initiatives.
Drive data quality, reporting governance, and BI best practices across the organization.
Build interactive dashboards, scorecards, and executive reporting solutions using Power BI and/or Tableau.
Define reporting standards, semantic models, KPI frameworks, and visualization best practices.
Collaborate with business stakeholders to identify opportunities for data-driven decision-making.
Analyze large datasets to generate actionable insights and business recommendations.
Lead technical teams and mentor developers, analysts, and BI engineers.
Participate in BI architecture reviews and data platform strategy discussions.
Ensure optimal report performance, scalability, security, and maintainability.
Work closely with Data Engineering, Product, Operations, and Business teams to deliver analytics solutions.
Support release planning, production deployments, and ongoing reporting enhancements.