Okay, I've searched for Senior Marketing Data Analyst positions in Houston, TX requiring a Bachelor's degree in Marketing or Business, 5+ years of experience, full-time schedule, and skills in SQL and data analysis. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Marketing Data Analyst role at ENGIE is a strategically pivotal position tasked with harnessing data analytics to drive market expansion and optimize sales performance, particularly within the energy sector’s dynamic segments—power, natural gas, and renewables. Fundamentally, this role exists to bridge complex data insights with actionable business strategies, supporting new product launches and refining existing product positioning via robust performance metrics and customer segmentation. This necessitates not only advanced technical proficiency in SQL, CRM platforms, and visualization tools like Power BI but also a high degree of strategic and market-oriented thinking to interpret data in ways that uncover growth opportunities and margin improvements. The candidate must excel at managing cross-functional collaboration—working alongside Sales, Product Development, and IT teams—indicating a highly integrative working environment where communication and coordination are as critical as technical skill. The role’s emphasis on the Customer Lifetime Value model and marketing ROI highlights a focus on quantifying long-term customer relationships and marketing effectiveness, implying analytical depth beyond surface-level reporting. Challenges likely involve navigating multifaceted sales pipelines, ambiguous market signals, and evolving customer behaviors, requiring the analyst to apply judgment and problem-solving in complex environments. Success within the first year would be defined by delivering clear, credible sales and market insights, enabling well-informed product launches, driving measurable performance improvements, and contributing to margin strategies that enhance business profitability.

Company Analysis:

ENGIE stands as a global energy leader committed to advancing the low-carbon transition, blending its vast expertise in renewables, natural gas, and energy management with an ambitious mission of sustainability and innovation. Operating in a fast-evolving energy landscape characterized by decarbonization goals and technological disruption, ENGIE’s market position as a front-runner in clean energy solutions provides the Senior Marketing Data Analyst with a purpose-driven, yet challenging environment. The company’s culture appears innovation-oriented and collaborative, emphasizing ethical standards, safety, and inclusivity, which suggests that individuals thriving here are adaptable, proactive, and value-driven. Being part of ENGIE’s Global Energy Management & Sales business unit situates the role in a high-impact context where analytical insights directly influence strategic decisions and operational excellence across a complex, global asset portfolio. The role reports to the Director of Customer Engagement Analytics, indicating a moderately senior position with visibility into leadership discussions and a mandate to influence cross-divisional initiatives. Strategically, this hire aligns with ENGIE’s ambitious growth and product innovation objectives in shifting energy markets, making it imperative for the candidate to be both analytically rigorous and commercially savvy, able to translate data into strategic advantage while navigating the complexities of a multinational energy firm devoted to sustainability and market leadership.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage a complex project involving multiple teams with competing priorities. How did you ensure alignment and successful delivery?
• Behavioral: Describe an instance where your data analysis uncovered a significant market insight that led to a change in product strategy. What was your approach and impact?
• Behavioral: Give an example of when you faced ambiguity in your data or market environment. How did you handle it to still make sound recommendations?
• Behavioral: How have you dealt with communicating complex analytical findings to non-technical stakeholders? Give a specific example.
• Technical: Walk me through how you would design and implement a Customer Lifetime Value (CLV) model for commercial and industrial customers.
• Technical: How do you approach building a comprehensive sales performance dashboard? What key metrics and visualization techniques would you prioritize?
• Technical: Explain how you would leverage SQL and Power BI to consolidate multiple data sources into actionable market intelligence reports.
• Technical: What methodologies or frameworks do you apply when segmenting customers and evaluating market attractiveness in the energy sector?
• Situational: Imagine sales performance for a newly launched energy product is below expectation after three months. How would you analyze the problem and advise the team?
• Situational: You discover conflicting data between sales pipeline forecasts and actual sales outcomes. How do you investigate and resolve these discrepancies?
• Situational: If asked to support a cross-functional team in developing user testing for a new product system enhancement, how would you ensure data integrity and usability feedback alignment?
• Company Fit: What motivates you to work in the renewable and low-carbon energy space, and why ENGIE specifically?
• Company Fit: How do you see your experience contributing to ENGIE’s mission of accelerating the transition to a carbon-neutral world?
• Company Fit: ENGIE values inclusivity and ethical behavior deeply. How do these align with your personal values and professional approach?
• Questions for Interviewer: Can you describe how this role interacts with other business units and leadership to influence strategic decision-making?
• Questions for Interviewer: What are the biggest challenges ENGIE currently faces in market analytics for energy products, and how does this role factor into addressing them?
• Questions for Interviewer: How does ENGIE support ongoing professional development and growth for data analysts within the Global Energy Management & Sales division?