Job summary
Job post source
This job is directly from PrizePicks
Job overview
The Analytics Engineer at PrizePicks designs and maintains data models and pipelines to support data-driven decisions across the company, enhancing analytical capabilities.
Responsibilities and impact
The role involves building and optimizing data pipelines, implementing business logic for BI dashboards, designing data transformation workflows, collaborating with stakeholders to define metrics, ensuring data quality, managing CI/CD pipelines, and contributing to data governance.
Compensation and benefits
The salary range is $125,000 to $150,000 with company-subsidized medical, dental, and vision plans, 401(k) with company match, annual bonus, flexible PTO, paid parental leave, disability benefits, workplace flexibility, company events, equipment provided, and annual performance reviews.
Experience and skills
Requires 3+ years in analytics or data engineering roles, graduate degree or equivalent, experience with ELT tools like dbt, SQL/NoSQL databases, replication services, scripting languages (SQL, Python, Go), cloud data services, version control, data pipeline tools, BI tools, strong communication, dimensional modeling, and data governance; preferred experience in daily fantasy sports or similar data-intensive environments.
Career development
Offers annual performance reviews with opportunities for growth and career development within the company.
Work environment and culture
PrizePicks values inclusivity, diversity, and a data-driven culture with collaboration and knowledge sharing, supporting flexible work schedules and a healthy work/life balance.
Company information
PrizePicks is a leading Daily Fantasy Sports platform in North America with over 450 employees, recognized by Inc. 5000 for fast growth, covering major sports leagues and esports.
Team overview
The Analytics Engineer will join the Analytics Team, working closely with Data Engineering, Business Intelligence, and business stakeholders to support organizational data needs.
Job location and travel
Preferred location is Atlanta but remote candidates from anywhere in the U.S. are considered.
Application process
The application period is open for 30 days with possible adjustments; candidates must be authorized to work in the U.S. and no visa sponsorship is provided.
Unique job features
The role includes on-call rotation shared with Analytics and Data Engineering teams and involves working with modern data engineering tools and best practices to impact key business decisions.
Company overview
PrizePicks is a daily fantasy sports platform that allows users to make predictions on player performances across various sports. The company generates revenue by taking a percentage of the entry fees from users who participate in their fantasy contests. Founded in 2018, PrizePicks has quickly gained popularity due to its user-friendly interface and unique approach to fantasy sports, which focuses on individual player performances rather than team outcomes. The company has also formed strategic partnerships with major sports organizations to enhance its offerings and expand its user base.
How to land this job
Position your resume to highlight your experience in building and optimizing data pipelines, focusing on data transformation, modeling, and ensuring data quality and consistency, as these are central to the Analytics Engineer role at PrizePicks.
Emphasize your proficiency with SQL, dbt, ELT processes, data warehousing technologies like BigQuery or Snowflake, and collaboration with cross-functional teams to deliver actionable business insights.
Apply through multiple avenues including the PrizePicks corporate careers page and LinkedIn to maximize your chances of being noticed for this role.
Connect with members of the Analytics or Data Engineering teams at PrizePicks on LinkedIn; start conversations by referencing recent company growth, asking about their experiences working with data pipelines, or expressing enthusiasm for PrizePicks' innovative approach to daily fantasy sports.
Optimize your resume for ATS by incorporating keywords such as 'data transformation,' 'dbt,' 'SQL,' 'data quality,' 'ELT,' 'data modeling,' and 'data governance' to ensure it passes initial automated screenings effectively.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify relevant PrizePicks contacts to network with, allowing you to focus your time on preparing for interviews and skill enhancement.
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