Strategic Data Analyst, Growth & Placement

Jobtailor; Missouri; On-site; USD 95,000 - 140,000; Full time

Job summary

Jobtailor in the United States is seeking a Data Analytics Engineer with 4–6 years of experience to translate complex datasets into executive-ready insights and dashboards.

You will write sophisticated SQL queries, extend dbt models, and collaborate with senior stakeholders including the CSO and Head of Revenue to answer critical business questions.

The role emphasizes data quality, documentation, Git versioning, and responsible use of AI tools to accelerate analysis.

Qualifications

• 4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy‑adjacent analytics role.
• Strong command of SQL, comfortable writing complex queries involving window functions, CTEs, and multi‑table joins.
• Hands‑on experience with dbt or Palantir for data modeling.
• Comfort working with a modern cloud data warehouse.
• A demonstrable ability to communicate analytical findings to non‑technical executive audiences.
• The intellectual honesty to say “the data doesn’t fully answer this question, and here’s why”.
• Experience with a BI or visualization tool (Tableau, Power BI).
• A bachelor’s degree in a quantitative or analytical field, or equivalent professional experience.

Responsibilities

• Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations.
• Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards.
• Write sophisticated queries against Palantir Foundry Ontology to extract, transform, and validate data from core operational tables and dbt models.
• Contribute to the analytics engineering layer that underpins your work: extend dbt models where needed, help stand up new data pipelines.
• Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions.
• Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality validation.
• Identify gaps and inconsistencies in data and proactively surface them rather than papering over them.
• Leverage AI tools to accelerate both analytical and engineering work while applying rigorous critical evaluation to any AI-generated output.

Skills

SQL

Data storytelling

Data modeling

Data quality

Executive communication

Git version control

Education

Bachelor's degree in a quantitative field

Tools

dbt

Palantir Foundry Ontology

Tableau

Power BI

Cloud data warehouse

Job description

Responsibilities

• Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations.
• Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards.
• Write sophisticated queries against Palantir Foundry Ontology to extract, transform, and validate data from core operational tables and dbt models.
• Contribute to the analytics engineering layer that underpins your work: extend dbt models where needed, help stand up new data pipelines.
• Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions.
• Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality validation.
• Identify gaps and inconsistencies in data and proactively surface them rather than papering over them.
• Leverage AI tools to accelerate both analytical and engineering work while applying rigorous critical evaluation to any AI-generated output.

Requirements

• 4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy‑adjacent analytics role.
• Strong command of SQL, comfortable writing complex queries involving window functions, CTEs, and multi‑table joins.
• Hands‑on experience with dbt or Palantir for data modeling.
• Comfort working with a modern cloud data warehouse.
• A demonstrable ability to communicate analytical findings to non‑technical executive audiences.
• The intellectual honesty to say “the data doesn’t fully answer this question, and here’s why”.
• Experience with a BI or visualization tool (Tableau, Power BI).
• A bachelor’s degree in a quantitative or analytical field, or equivalent professional experience.

Core Competencies

Demonstrates expertise in data analytics and analytics engineering, with a strong command of SQL and experience in data modeling using dbt and Palantir. Capable of translating complex datasets into actionable insights for executive stakeholders while maintaining data quality and integrity.