Head of Data / Data Platform Lead

West500 Partners

Lakeland (FL)

A distancia

USD 150.000 - 230.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

West500 Partners is seeking a remote Head of Data/Data Platform Lead to guide a team of four analysts and tackle complex, high-impact data challenges. This player-coach role combines hands-on analysis with strategic leadership, shaping how data is analyzed, interpreted, and used to drive business decisions across regulators and the supply chain.

You will collaborate with Engineering and stakeholders, own data quality initiatives, and translate findings into clear, actionable insights.

Formación

  • Strong Snowflake/SQL skills for large datasets.
  • Sigma experience is a strong plus.
  • Forensic, investigative approach to data analysis.

Responsabilidades

  • Lead and mentor a team of four analysts while remaining hands-on with complex data analysis.
  • Investigate large datasets to uncover patterns, identify discrepancies, and draw conclusions when information is incomplete.
  • Independently work through ambiguous data problems, develop hypotheses, and determine reliable answers.
  • Partner with Engineering to investigate data quality issues and drive solutions.
  • Translate complex findings into clear, actionable insights for internal teams and external stakeholders.

Conocimientos

SQL
Snowflake
Sigma
Data analysis
Mentoring analysts
Communication
SaaS startup experience

Herramientas

Snowflake
Sigma

Descripción del empleo

Our client is a growing track-and-trace software company serving both regulators and the entire supply chain (Manufacturers, Logistics, Retail, etc.) across the US. They’re currently in need of a remote Head of Data / Data Platform Lead to guide a team of four analysts while personally tackling complex, high-impact data challenges. This is a player-coach role for someone who enjoys digging into the data, solving problems that don’t have obvious answers, and turning incomplete or inconsistent information into meaningful business insights. You’ll work closely with Engineering and business stakeholders, helping establish how data is analyzed, interpreted, and used to make decisions. This is an exciting opportunity to own and shape a critical data analytics function at an industry leader in track-and-trace technology.

Remote role with occasional travel. Our client is based in Florida and is currently considering candidates located in the southeastern and central United States.

What You’ll Do

  • Lead and mentor a team of four analysts while remaining hands-on with complex data analysis.
  • Investigate large datasets to uncover patterns, identify discrepancies, and draw conclusions when information is incomplete or doesn’t tell the whole story.
  • Independently work through ambiguous data problems, develop hypotheses, and determine the most reliable answers from the available evidence.
  • Partner with Engineering to investigate data quality issues, understand underlying causes, and help drive solutions.
  • Translate complex findings into clear, actionable insights for internal teams and external stakeholders.

What You’ll Bring

  • Strong Snowflake/SQL skills and experience working with large, complex datasets. Sigma experience a strong plus.
  • A forensic, investigative approach to data analysis, with the ability to connect the dots and find answers that aren’t immediately apparent.
  • A history of success in SaaS Startup environments
  • Sound judgment and the ability to work independently through ambiguous problems without needing constant direction.
  • Experience leading or mentoring analysts while contributing directly to the work.
  • Strong communication skills and the ability to explain complex findings clearly to technical and nontechnical audiences.

Unfortunately, we are unable to provide visa sponsorship at this time. U.S. citizens and individuals authorized to work in the United States are encouraged to apply.

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