Remote BI Ops/Data Engineer

Summary

Join Kin + Carta's growing capabilities team as a BI Data Analyst/Engineer and contribute to creating meaningful impact for large enterprise clients. As a member of our global workforce, you'll have opportunities for growth, leadership, and fun while building a world that works better for everyone.

Requirements

• Proven industry experience executing BI, analytics and/or data visualization projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities
• Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R
• More than 4 years of experience working in similar roles
• Experience with visualization/reporting tools like Tableau and programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3

Responsibilities

• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline
• Engineer simple data pipelines (aggregation and simple business logic) and products to help stakeholders make and execute data driven decisions
• Communicate analytical findings in an intuitive and visually compelling way
• Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
• Building and tracking project timelines, dependences, and risks
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions

Preferred Qualifications

• Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3
• Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc
• Proficiency with cloud architecture components (AWS, Azure, Google)
• Experience with data pipeline software such as Airflow, Luigi, or Prefect
• Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
• Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
• Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development
• Experience leading and managing technical data/analytics/machine learning project