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Data Analyst- Business Operations

Location : New York (On Site)
Job Type : Temp/Contract
Reference Code : 13209904
Compensation : 69.44 USD/HOUR
Start Date : 07/18/2022
End Date : 06/17/2023
Hours : Full Time
Required Years of Experience : 2
Required Education : BS degree
Travel : No
Relocation : No

Job Description :
 ** This is an ONSITE ROLE and requires onsite workers to be vaccinated.


Job Description:

Data Analyst needed to join the Business Operations team to support the reporting and operational business processes. The role will help execute operational processes related to our subscriptions, subscribers and commerce operations. You will also help visualize and develop analysis and executive reports that enable transparency and quick insights into key business challenges, incidents and issues. This role requires acute attention to detail, a strong sense of accountability, collaboration skills and hands-on experience with sourcing, enriching, analyzing and reporting data. You will be working on data analysis, data investigations and the delivery of files, queries and data sets to other teams across the business for operational execution.


  • Create, deliver and continuously improve our processes for delivering operational data files to address all types of subscriber and commerce operations - from refund processing to understanding the key performance of critical product operations.

  • Partner with Finance, Data, Product and Engineering teams to deeply understand the commerce flows, and the underlying transactional systems behavior.

  • Translate reporting and operational process needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations.

  • Partner closely with business stakeholders to identify and unlock opportunities to drive subscriber growth, and identity recurring process improvement opportunities.

  • Analyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand.

  • Provide input and requirements to the Data analytics team on dashboards, services and monitoring tools for improved efficiency.

  • Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content, in response to specific projects or issues.

Required Qualifications :
Basic Qualifications:

  • 2+ years of hands-on analytical work experience with SQL

  • BS degree

  • Proficiency with SQL

  • High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow

  • Expertise manipulating large and diverse data sets, interpreting data trends and using a multitude of disparate data sources and tools

  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations

  • Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)

  • Perform root-cause analysis to identify patterns in financial and customer data sets, including subscriber acquisition and retention metrics

  • Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impact

  • Ability to evaluate risks and provide recommendations in a timely manner

  • Explain data anomalies, develop data visualizations and reporting to drive key messaging and recommendations

  • Familiarity with data exploration and data visualization tools like Tableau or Looker

  • Ability to think strategically, analyze and interpret market and consumer information

Preferred Qualifications:

  • Experience in the streaming media industry or other subscription-based service

  • Experience in the technology industry, knowledge of data products

Additional Information:


This is a pretty technical Data analytics role, working for the business Ops teams.

  • Candidate will be pulling data from audience sizes and audience lists coming from billing systems to make sure all is compliant. 

  • Candidate will be working with very technical engineering data.

  • SQL skills must be at guru level - must be able to write SQL from scratch not just change a few lines of the query

  • Ideal candidate- will understand what underlying ask is and can take it a step further - can understand the given request and ask questions, provide feedback.

  • Must have a level of experience dealing with complex table structures

  • Will be pulling data from snowflake

  • Databricks- able to read code

  • Top skills: SQL 


Skills :
databricks Jupyter Redshift SQL tableau
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