Strategic Data Analytics Lead - Hybrid Dallas

Harnham; Dallas (TX); Hybrid; USD 135,000 - 165,000; Full time

Job summary

Harnham is seeking a Senior Data Analyst to join a mission-driven analytics team focused on solving complex business and operational challenges through data-driven decision making. This role is ideal for someone who enjoys turning ambiguous questions into actionable insights, partnering with senior stakeholders, and owning analytics initiatives from data discovery through recommendations.

Responsibilities include transforming unstructured data into clear findings, building repeatable models and

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years in analytics, BI, strategy, data science, or related role.
• Strong Python and SQL proficiency.
• Experience taking problems from discovery to implemented recommendations.
• Ability to work independently in ambiguous environments.
• Strong communication to explain technical findings to non-technical stakeholders.
• Experience using modern AI tools to enhance workflows.

Responsibilities

• Partner with business leaders to identify analytical opportunities and influence decisions.
• Transform unstructured data into meaningful insights and recommendations.
• Gather, clean, validate, and analyze data from multiple sources.
• Develop repeatable analytics solutions, reporting frameworks, and data tools.
• Use Python and SQL for advanced analysis, modeling, and automation.
• Present findings with concise visuals and executive-ready recommendations.
• Leverage AI-enabled tools to improve research quality and productivity while maintaining rigor.

Skills

Python

SQL

Analytics

Communication

Independent work

AI tools

Education

Bachelor's degree in Data Analytics or related

Tools

Tableau

Power BI

Looker

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Job description

Harnham is seeking a Senior Data Analyst to join a mission-driven analytics team focused on solving complex business and operational challenges through data-driven decision making. This role is ideal for someone who enjoys turning ambiguous questions into actionable insights, partnering with senior stakeholders, and owning analytics initiatives from data discovery through recommendations.

Responsibilities include transforming unstructured data into clear findings, building repeatable models and