Business Data Scientist II, III, Senior
full-time
Posted on:
Location Type: Office
Location: Pittsburgh • Oklahoma • Pennsylvania • United States
Visit company websiteExplore more
Job Level
About the role
- Develops, implements, and supports business intelligence reporting, sophisticated analytical models and data architecture to ensure availability and model support
- Creates scalable, efficient, and automated processes for large scale data analyses for model development, validation, and implementation
- Enhances user interfaces and data visualization tools to improve the effectiveness of data analyses
- Trains users to transform data into actionable information for critical business decisions and explores available data to identify patterns, anomalies, and trends
- Develops descriptive, predictive and/or prescriptive statistical models to address business problems
- Works with large data sets in a hybrid cloud, using machine learning (ML) and artificial intelligence (AI) methods to help define requirements and set expectations
Requirements
- Bachelor's Degree in Information Technology, Engineering, Construction Science, Business and five (5) years' of related experience supporting database development and data analytics; and/or natural gas industry experience
- Master's Degree in Business Administration, Data Science, Information Technology, and ten (10) years' work experience in data science and/or business intelligence developer and/or natural gas fundamentals modeling
- Outstanding organizational/interpersonal skills and safety as the utmost priority
- Proficiency in Microsoft Office Applications
- Basic knowledge of databases (SQL, Oracle, Cube) and multi-dimensional database structures
- Experience with business intelligence tools, reports, and dashboards
- Proficiency in Azure analytics platforms (e.g., Synapse, Databricks, Data Factory)
- Experience in project management, engineering, project controls, or construction sequencing
- Proficiency in writing DAX measures and queries
- Familiarity with pipelines, compression, and processing
Benefits
- Competitive compensation
- Annual incentive program
- Hybrid work model - one work from home day each week for most office-based roles
- Flexible work schedule for most field-based roles
- 401(k) with company matching contribution and a fixed annual company contribution
- Comprehensive medical, dental, and vision benefits
- Generous company-paid life insurance and disability benefits
- A consumer-driven health plan option with the potential for a generous company contribution to a Health Savings Account
- Healthcare and Dependent Care Flexible Spending Accounts
- Paid time off, including floating and company holidays
- Employee stock purchase plan
- Robust employee learning and development
- High internal mobility (we promote from within)
- Parental leave (we provide up to 6 weeks for each parent)
- Fertility coverage and adoption benefits
- Domestic partner benefits
- Educational reimbursement
- Non-profit donation matching contributions and time off to volunteer
- Employee resource groups
- Employee assistance programs
- Technology to make our work more productive and collaborative
- Regular employee engagement surveys and feedback processes
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata analysisstatistical modelsmachine learningartificial intelligenceSQLOracleDAXAzure analyticsdata visualization
Soft Skills
organizational skillsinterpersonal skills
Certifications
Bachelor's DegreeMaster's Degree