Tier 1 Consulting
Senior Data & Strategy Analyst - Clean Energy & Gas
Tier 1 Consulting, Dallas, Texas, United States, 75215
Full-Time, Permanent Role with Benefits
Confidential Energy & Utilities Client
Position Overview
Our VIP Client, an established energy company is seeking an
Senior Data & Strategy Analyst
to join its enterprise risk and analytics team. This hybrid role is designed for a highly experienced data professional who brings both technical excellence and
deep fluency in the wholesale natural gas market
- someone who can draw meaning from complex datasets, identify value-creation opportunities, and influence strategic decisions with minimal ramp-up.
This is
not a foundational role , and onboarding will not include "Natural Gas 101." Instead, you'll be expected to arrive with a command of market structure, storage dynamics, tariff implications, and how commercial decisions intersect with operational data. You'll work with imperfect, third-party data feeds (from pipelines, storage operators, market indices) and transform them into usable, strategic insight. Key Responsibilities
Own the development of models, reports, and scripts that support
risk assessment ,
price and volumetric exposure , and
storage valuation . Clean and normalize raw data feeds from external vendors, ensuring high-integrity inputs for downstream forecasting, valuation, and optimization tools. Apply contextual knowledge of
market dynamics , including pipeline behavior, tariffs, and trading incentives, to evaluate commercial opportunities. Build predictive analytics frameworks for weather, load, and pricing volatility. Support
arbitrage strategy development
and operational decision-making through analytical rigor. Deliver intuitive dashboards and visualizations that provide decision-makers with actionable insights. Mentor junior analysts and act as a subject-matter expert across data infrastructure, modeling strategy, and gas market economics. What You Bring A
strong commercial and technical command
of the natural gas value chain - particularly in wholesale, trading, or risk-oriented settings. The ability to work independently,
ask the right questions , and proactively identify what data is missing, misaligned, or misleading. Comfort working with incomplete, messy, or vendor-aggregated datasets - and the judgment to reconcile them using experience and intuition. Exceptional communication skills, with a track record of explaining complex analytical outcomes to stakeholders across the business. Proven ability to prioritize what's material from a business perspective, not just what's statistically interesting. Preferred Qualifications Education : Bachelor's in Data Science, Engineering, Finance, Economics, or a related field. Certifications like CAP, SDS, or MCSE in Data Management are advantageous. Tools & Languages : Proficient in
Python, SQL, DAX, PowerQuery, Excel ; experience with Git/version control. Familiarity with Java or VB is a plus. Data Engineering : Skilled in
ETL pipeline design , database development (Azure, Oracle, MySQL), and advanced data cleaning and validation. Energy Market Expertise : Must understand
tariff structures, storage optimization, pipeline scheduling , and how these intersect with market drivers. External Data Sources : Experience working with third-party vendors (e.g., S&P Global, ICE, CME, EIA, FERC, EBBs), and able to turn raw feeds into business-ready inputs. Visualization & Reporting : Strong background in business intelligence tools and building visual narratives that tie data to decisions. Why This Role?
You'll be stepping into a high-visibility role that influences pricing, risk, and trading decisions across a major energy business. This is a seat at the strategy table, not just behind a dashboard.
The team values
speed, precision, and commercial fluency , and you'll be working with leaders who expect - and empower - analysts to act as trusted advisors. This role offers full benefits, strong compensation, and the opportunity to make measurable impact every day. Equal Opportunity & Accessibility
This employer values diversity and is committed to building an inclusive and supportive work environment. Accommodations are available throughout the hiring process upon request.
Our VIP Client, an established energy company is seeking an
Senior Data & Strategy Analyst
to join its enterprise risk and analytics team. This hybrid role is designed for a highly experienced data professional who brings both technical excellence and
deep fluency in the wholesale natural gas market
- someone who can draw meaning from complex datasets, identify value-creation opportunities, and influence strategic decisions with minimal ramp-up.
This is
not a foundational role , and onboarding will not include "Natural Gas 101." Instead, you'll be expected to arrive with a command of market structure, storage dynamics, tariff implications, and how commercial decisions intersect with operational data. You'll work with imperfect, third-party data feeds (from pipelines, storage operators, market indices) and transform them into usable, strategic insight. Key Responsibilities
Own the development of models, reports, and scripts that support
risk assessment ,
price and volumetric exposure , and
storage valuation . Clean and normalize raw data feeds from external vendors, ensuring high-integrity inputs for downstream forecasting, valuation, and optimization tools. Apply contextual knowledge of
market dynamics , including pipeline behavior, tariffs, and trading incentives, to evaluate commercial opportunities. Build predictive analytics frameworks for weather, load, and pricing volatility. Support
arbitrage strategy development
and operational decision-making through analytical rigor. Deliver intuitive dashboards and visualizations that provide decision-makers with actionable insights. Mentor junior analysts and act as a subject-matter expert across data infrastructure, modeling strategy, and gas market economics. What You Bring A
strong commercial and technical command
of the natural gas value chain - particularly in wholesale, trading, or risk-oriented settings. The ability to work independently,
ask the right questions , and proactively identify what data is missing, misaligned, or misleading. Comfort working with incomplete, messy, or vendor-aggregated datasets - and the judgment to reconcile them using experience and intuition. Exceptional communication skills, with a track record of explaining complex analytical outcomes to stakeholders across the business. Proven ability to prioritize what's material from a business perspective, not just what's statistically interesting. Preferred Qualifications Education : Bachelor's in Data Science, Engineering, Finance, Economics, or a related field. Certifications like CAP, SDS, or MCSE in Data Management are advantageous. Tools & Languages : Proficient in
Python, SQL, DAX, PowerQuery, Excel ; experience with Git/version control. Familiarity with Java or VB is a plus. Data Engineering : Skilled in
ETL pipeline design , database development (Azure, Oracle, MySQL), and advanced data cleaning and validation. Energy Market Expertise : Must understand
tariff structures, storage optimization, pipeline scheduling , and how these intersect with market drivers. External Data Sources : Experience working with third-party vendors (e.g., S&P Global, ICE, CME, EIA, FERC, EBBs), and able to turn raw feeds into business-ready inputs. Visualization & Reporting : Strong background in business intelligence tools and building visual narratives that tie data to decisions. Why This Role?
You'll be stepping into a high-visibility role that influences pricing, risk, and trading decisions across a major energy business. This is a seat at the strategy table, not just behind a dashboard.
The team values
speed, precision, and commercial fluency , and you'll be working with leaders who expect - and empower - analysts to act as trusted advisors. This role offers full benefits, strong compensation, and the opportunity to make measurable impact every day. Equal Opportunity & Accessibility
This employer values diversity and is committed to building an inclusive and supportive work environment. Accommodations are available throughout the hiring process upon request.