Data Product Manager on Data Analytics
Title: Data Product Manager on Data Analytics
Location: Austin, TX / Sunnyvale, CA
Ex-Apple plus
Anyone who played an EPM role in Data Analytics will be a good fit.
Key Qualification7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
Proficiency with data visualization tools such as Tableau, , and/or Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
Excellent communication, social, and presentation skills with meticulous attention to detail.
Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job DescriptionBuild dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
Closely partner with our Data Science team to define metrics, datasets, and automation strategy
Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
EducationMinimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.Technical Product Management
Key Qualifications :
Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
For Immediate Response, Please reach out to me at srinivas at galaxyitech dot com (or) Four Eight Zero - Four Zero Seven - Six Nine Three Zero.
Title: Data Product Manager on Data Analytics
Location: Austin, TX / Sunnyvale, CA
Ex-Apple plus
Anyone who played an EPM role in Data Analytics will be a good fit.
Key Qualification7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
Proficiency with data visualization tools such as Tableau, , and/or Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
Excellent communication, social, and presentation skills with meticulous attention to detail.
Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job DescriptionBuild dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
Closely partner with our Data Science team to define metrics, datasets, and automation strategy
Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
EducationMinimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.Technical Product Management
Key Qualifications :
Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
For Immediate Response, Please reach out to me at srinivas at galaxyitech dot com (or) Four Eight Zero - Four Zero Seven - Six Nine Three Zero.