EdTech
NYC – Hybrid
$75,000-$95,000
THE COMPANY
A high-performing and reputable public school network that focuses on providing equal education opportunities within the New York City school system is looking to add a data analyst to its rapidly growing team. In this role, you would join the organization in a strategic capacity with the aim of making an impact on larger business decision-making strategies.
THE ROLE- Talent Acquisition Data Analyst
In this capacity, you will be responsible for driving the data-driven initiatives for an organization that has proven itself a household name in the Public Education industry. As our client continues to impressively scale, the need for Data & Analytics capabilities is prevalent from a reporting and insights perspective; you will help drive this impetus moving forward from an individual contributor capacity.
Some Key Responsibilites include:
Providing actionable insights using dashboards/visualizations, reports, and various forms of analysis.
SpearheadING the vision in multiple areas of school data streams
Partner with multiple teams to understand data needs, simultaneously translating requirements to fit the needs of our client.
YOUR SKILLS AND EXPERIENCE:
Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field. Master’s preferred.
Experience with advanced statistical modeling, primarily using SQL, Python, or R needed.
Deep understanding of using raw data to draw insights, including the entirety of the Data & Analytics landscape.
Great communication skills and the ability to communicate trend analysis to both technical and non-technical audiences.
Ample experience utilizing multiple BI tools, including Tableau, PowerBI, Domo, Sisense etc.
THE BENEFITS
As a Talent Acquisition, Data Analyst, you can earn up to $95,000 in basic salary (depending on your experience) and industry-leading benefits.
HOW TO APPLY
Please register your interest by sending your resume to Daniela via the apply link.
KEYWORDS
SQL. Talent Acquisiton, Data Analytics, ETL, data pipeline, ETL pipeline development, statistical modeling, retention, pipelines, Tableau, Domo, Power Bi, Looker
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