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Product Data Manager on Data Analytics

This role is for a "Product Data Manager on Data Analytics" with a contract length of over 6 months, located in Austin, TX & Sunnyvale, CA. Requires 7+ years in data roles, SQL proficiency, and experience in digital subscription businesses.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Austin, TX
🧠 - Skills detailed
#Hadoop #Data Science #Strategy #PySpark #Data Analysis #Scala #Datasets #Logging #Mathematics #SQL (Structured Query Language) #Data Pipeline #Programming #R #Statistics #Automation #Computer Science #Spark (Apache Spark) #Visualization #Python #Data Lifecycle #Data Architecture #Security #Tableau
Role description
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Hi, Everyone





• W2 CONTRACT ONLY


• W2 CONTRACT ONLY



• NO C2C





• 100% Closure & Long-term project

ALL VISA TYPES ARE ACCEPTABLE (Except H4EAD)

Job Title: Data Product Manager on Data Analytics

Loc: Austin, TX & Sunnyvale, CA

Hybrid, 3 days Onsite in a Week

Job Description:

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.

NOTE: Please share Updated Resumes to divya@galaxyitech.com or call me 480-407-6918.