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Sr Data Integrity Analyst
Company | Atmos Energy |
Address | Dallas, TX, United States |
Employment type | FULL_TIME |
Salary | |
Category | Utilities |
Expires | 2023-08-19 |
Posted at | 10 months ago |
At Atmos Energy, we enjoy an employee-focused culture with rewarding work, competitive pay, work-life balance, inclusion and diversity, and excellent benefits. Benefits offered include:
- Short- and Long-Term Disability
- 401K/Retirement Savings Plan
- Vision Insurance
- Flexible Spending Account (FSA)
- Educational Assistance
- Medical & Prescription Drug Coverage
- Paid Training
- Employee Assistance Program
- Basic Life Insurance
- Health Savings Account (HSA)
- Dental Insurance
- LinkedIn Learning
- Company Holidays & Paid Time Off
- LifeLock Identity Theft Protection
- Reconciles actual and anticipated outcomes. Queries databases using statistical computer languages to isolate and address discrepancies. Modifies forecasts or workflows when necessary to improve future performance. Communicates revisions to appropriate personnel.
- Proposes solutions and strategies in response to business opportunities by identifying valuable data sources. Assesses the effectiveness and reliability of new data sources and data gathering techniques.
- Provides enterprise support with statistical modeling. Translates operating needs into technical requirements.
- Coordinates with outside consultants as needed on the development and evaluation of tools, models, and methodologies. Provides perspective on the consultant’s recommendations for improvement.
- Designs and implements Tableau-driven dashboards and reports tracking key business metrics. Presents information in a clear, consumable manner using data visualization tools and techniques. Distills data to provide actionable insights for functional areas and leadership.
- Utilizes statistics to develop and execute predictive models and machine-learning algorithms in support of business operations within the assigned area of responsibility. Focuses on continuous improvement opportunities for existing models and methodologies.
- Conducts the root cause analysis of complex issues and exercises discretion to elevate the awareness of critical findings. Identifies, recommends, and implements initiatives to improve processes or increase efficiencies.
- Stays abreast of emerging and evolving data tools and technology.
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