Senior Data Analyst

Brooklyn 11220

Posted: 06/14/2021 Employment Type: Direct Hire Job Number: 844

Job Description

Senior Data Analyst


Our client in the Music industry is seeking a Senior Data Analyst to provide impactful analysis and high-quality reporting to stakeholders across our organization. The candidate must be experienced in building customer LTV models, calculating CAC and providing in-depth funnel analysis. Prior experience in developing machine learning models is highly desired but not necessary. Candidate will have a highly collaborative attitude and be comfortable with working in a cross-functional capacity to support internal departments that include Marketing, Product, Finance & Operations.


Responsibilities of the Senior Data Analyst:
  • Audit and maintain existing reports and make recommendations for any improvements that will aid in more insightful decision-making for stakeholders.
  • Create QoS standards and protocols to validate and own accuracy of all deliverables from the Data Analytics team.
  • Work closely with the BI Analyst for the refactor and migration of legacy cadence reports into Tableau.
  • Work closely with the Data Engineer to ensure that the data warehouse is updated with the most accurate data to support analytics and reporting. 
  • Liaise between multiple teams and departments to develop reports relating to marketing, finance, product performance and consumer behavior across all products.


Requirements of the Senior Data Analyst:
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics
  • Some coursework or experience in Finance or Marketing is a plus
  • 4+  years of proven work experience as a data analyst or business data analyst
  • Strong analytical skills with a keen sense of detail when quantifying and presenting analysis.
  • In-depth experience using statistical packages such as Python, R, Excel, SPSS, etc. for analyzing datasets.
  • High level of proficiency in SQL and in-depth knowledge of common RDBMS systems such as MySQL, SQL Server, PostgreSQL.
  • Knowledge of AWS and experience with BI tools such as Tableau, Qlikvue, Looker, Power BI etc. is highly desirable.

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