Senior Data Strategist

Há 3 dias

Região Geográfica Intermediária de São Paulo, Brasil beBeeDataLead Tempo inteiro US$100.000 - US$120.000

About us:

We are a leading data and analytics firm, backed by top-tier investors. We analyze billions of data points daily to provide accurate insights across industries.

Our data team uses proprietary technology to identify, license, clean, and analyze the data that many of the world's largest investment funds and corporations depend on.

We have been recognized as one of Inc's Best Workplaces for three years and counting. As a fast-growing company driven by a people-first culture rooted in mastery, ownership, and transparency, we continue to expand our reach and impact across global markets with offices in multiple locations.

We're seeking a highly motivated, team-oriented Data Lead to drive data strategy and execution across a best-in-class portfolio of data products.

This role will report to our Head of Data and split time between owning challenging analytical work and guiding a team of data analysts to build and deliver top-tier data products.

This is a high-impact role for someone who thrives on ownership, collaboration, and delivering measurable value.

Main Responsibilities
  • Data Strategy & Execution: Own data strategy and execution for a portfolio of high-impact data products driving product success through a focus on accuracy, client value, and efficiency.
  • Team Leadership: Operate as a player-coach, setting a high bar for quality, speed, and innovation while coaching, empowering, and inspiring your team to do their best work.
  • Data Analysis: Work with massive amounts of data to help answer investor key questions about the sectors we cover and datasets we analyze.
  • Problem-Solving: Tackle complex data problems using your analytical skills to optimize methodologies, test new datasets, and solve data-related problems that require innovative solutions.
  • Pipeline Improvement: Drive standardization, simplification, and improvements to our data pipelines and workflows to minimize risk and maximize efficiency and value.
  • Cross-Functional Collaboration: Partner cross-functionally with other teams including Research and Engineering to uncover and execute on opportunities to further drive customer value and optimize our processes and pipelines.
You Are Likely To Succeed If
  • 5+ years of experience in data analytics, forecasting, or business intelligence, including 1-2 years in a management or lead capacity.
  • 3+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Proficiency with Github and familiarity with Databricks.
  • Strong communication skills and ability to work and project manage effectively with stakeholders across both technical and non-technical teams.
  • Ability to approach complex problems logically and decisively, and take pride in implementing scalable solutions.
  • Strong ownership and entrepreneurial mentality and enthusiasm for working with others to make a big impact.
  • Preferred: Experience in or alongside capital markets, investment research, or financial services.

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