Data Analytics

CYNET SYSTEMS INC.
Mason, OH, United States
10 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$104,000.0 - $114,400.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Big Data Clinical Data Repository Cloud Computing Information Engineering Data Files Data Governance
+33 more
Data Integration Extract Transform Load (ETL) Data Mart Data Visualization Data Warehousing Relational Databases Database Design DevOps Dimensional Modeling PostgreSQL Machine Learning Meta-Data Management Microsoft SQL Server SQL Azure Oracle (Applications) Performance Tuning Query Optimization Power BI Software Deployment SQL Stored Procedures SQL Databases Tableau (Software) Data Processing Freeform SQL Google Cloud Azure Data Factory Snowflake Database Optimization Data Lakes Information Technology Data Analytics Tools for Reporting Databricks

Job description

  • 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., * Dashboard Development.
  • Executive Reporting.
  • Semantic Models.
  • KPI & Metrics Design.
  • Reporting Governance.
  • SQL Server.
  • Oracle.
  • PostgreSQL.
  • Snowflake.
  • Azure SQL.
  • Azure Data Services.
  • AWS Analytics Services.
  • Databricks.
  • Data Lake Architecture.
  • Technical Leadership.
  • Solution Design.
  • Stakeholder Management.
  • Team Mentoring.
  • Strategic Decision Making.
  • Business Requirement Analysis.

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., * 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.

Skills:

  • Advanced SQL.
  • Query Optimization & Performance Tuning.
  • Data Modeling.
  • Data Warehousing.
  • Data Analysis & Data Visualization.
  • Data Governance.
  • Statistical Analysis.
  • Power BI., * 8+ Years Data Analytics / Business Intelligence / Reporting / Data Warehousing.
  • 8+ Years Advanced SQL Development.
  • 8+ Years SQL Query Optimization & Performance Tuning.
  • 8+ Years Data Modeling & Database Design.
  • 8+ Years Dimensional Modeling.
  • 5+ Years Power BI Dashboard & Report Development.
  • 5+ Years Tableau Dashboard & Report Development.
  • 5+ Years BI Architecture & Reporting Solutions.
  • 5+ Years Executive Reporting & KPI Framework Design.
  • 5+ Years Semantic Models, Data Sets & Data Marts.
  • 5+ Years Reporting Governance & BI Best Practices.
  • 3+ Years Large-Scale Data Analysis.
  • 3+ Years Stakeholder Management & Business Requirement Analysis.
  • 3+ Years Technical Leadership & Team Mentoring.
  • 3+ Years Enterprise Reporting Solution Delivery.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all