Lead Data Analyst

YipitData (Alternative)

166d • $150,000

About The Position

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. In this role, you’ll report to our Head of Data and split your 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. Those with strong analytical skills who are excited to lead teams, build and optimize data workflows, and partner cross-functionally to shape and execute on product strategy are encouraged to apply.

Requirements

• 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.

Nice To Haves

• Experience working in or alongside capital markets, investment research, or financial services.

Responsibilities

• Own data strategy and execution for a portfolio of high-impact data products for investors, driving product success through a focus on accuracy, client value, and efficiency.
• Operate as a player-coach, setting a high bar for quality, speed, and innovation while coaching, empowering, and inspiring your team.
• Work with massive amounts of data to help answer investor key questions about the sectors we cover and datasets we analyze.
• Tackle complex data problems, using analytical skills to optimize methodologies, test new datasets, and solve data-related problems.
• Drive standardization, simplification, and improvements to our data pipelines and workflows to minimize risk and maximize efficiency and value.
• Partner cross-functionally with other teams, including Research and Engineering, to uncover and execute on opportunities to further drive customer value.

Benefits

• Flexible work hours.
• Open vacation policy.
• Generous 401K match.
• Parental leave.
• Team events.
• Wellness and work-from-home budget.
• Learning reimbursement.
• Equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees