Associate Director – Delivery Partner, Insurance
Tiger Analytics
AzureCloudHadoopSpark
Senior Analyst, Capital and Construction Data Analytics
NBCUniversal
full-time
Posted on:
Origin: • 🇺🇸 United States • Arizona, California, Colorado, Idaho, Kansas
Visit company websiteSalary
💰 $79,594 - $119,392 per year
Job Level
Senior
Tech Stack
AWSHadoopPythonSQL
About the role
- Analyze invoice and P&L data to support CapEx financial operations.
- Retrieve and summarize data from various sources to identify trends and business opportunities.
- Build and maintain reports and dashboards that support financial and operational decision-making.
- Collaborate with finance and analytics teams to align data insights with business goals.
- Apply or learn tools like SQL, Python, MDX, and other BI platforms to enhance reporting and analysis.
- Leads discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
- Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
- Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
- Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
- Combines data as needed from disparate data sources to complete analysis.
- Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
- Develops forecasting models to predict sales, demand and other key business metrics.
- Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
- Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decision makers.
- Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
- Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance.
Requirements
- Familiarity with or interest in learning SQL, Python, and MDX.
- Strong attention to detail and a passion for working with financial data.
- Ability to work independently and collaboratively across teams.
- A growth mindset and willingness to learn new tools and approaches.
- Interest in supporting financial operations and driving data-informed decisions.
- Must be able to work nights and weekends, variable schedule(s) as necessary.
- This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
- Bachelor's Degree (preferred) or combination of coursework and experience or extensive related professional experience.
- 5-7 Years relevant work experience.
- Query disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
- Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
