Business Intelligence Specialist

at  TCetra LLC

BUSINESS INTELLIGENCE SPECIALIST

Department: Sales
Reports to: VP of Sales
Location: Hybrid - Dublin, Ohio (3 days) Remote (2 days)
Full-time, Non-Exempt
Why T-CETRA?
We’re constantly developing new and creative ways to solve the industry’s most complex problems. Our enterprise software solutions run the gamut of Information Technology Services–from payment processing, to prepaid wireless activations, to mobile and web app development. For the past 10+ years our originality attracts the most outstanding and innovative thinkers- allowing us to develop new and creative approaches while growing as the industry leader. Are you a passionate professional, ready to make changes in the tech world? Join our team today!

ABOUT THE JOB:

We are seeking a highly skilled Business Intelligence specialist concentrating in modeling to join our team. The ideal candidate will be responsible for creating reports, visualizations, dashboards, and metrics that provide business insight and aid business decision-making. Uses querying languages like SQL, scripting languages, and other tools like Tableau or Excel to produce reports and perform meaningful quantitative or qualitative analyses addressing impactful business issues or questions.

• Reporting
• Tableau Champion, use Tableau to query data and build dashboards
• Develop and maintain KPI data points and internal reporting.
• Develop and execute external-facing reporting through reporting tools.
• Lead data reporting team to drive consistency in delivery projects data.
• Data Collection and Preparation:
• Gather and organize large datasets from various sources.
• Cleanse and preprocess data to ensure accuracy and consistency.
• Perform exploratory data analysis to understand patterns and relationships.
• Statistical Modeling:
• Develop predictive models using statistical techniques such as regression, classification, clustering, and time series analysis.
• Apply machine learning algorithms to uncover insights and forecast future outcomes.
• Validate models for accuracy, reliability, and robustness.
• Data Visualization and Reporting:
• Create clear and informative visualizations to communicate findings and trends.
• Prepare comprehensive reports summarizing analysis results and key insights.
• Present findings to stakeholders in a compelling and understandable manner.
• Collaboration and Communication:
• Collaborate with cross-functional teams to understand business requirements and objectives.
• Communicate effectively with stakeholders to gather requirements and provide updates on analysis progress.
• Work closely with data engineers and IT professionals to optimize data workflows and infrastructure.
• Continuous Improvement:
• Stay updated on the latest advancements in data analysis techniques and tools.
• Identify opportunities for process improvement and automation.
• Share knowledge and best practices with team members to enhance overall capabilities.