Product Manager Staff - Analytics and Data Science

Job Summary

Partners with the business and IT community to ensure that the right people have access to the right data in the right format at the right time. Data Science Analyst is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization's strategies. The Data Science Analyst has in-depth knowledge across multiple technical environments as well as strong business acumen and provides expertise regarding systems design, integration, and performance analysis across the business. The role promotes shared infrastructure and applications to reduce costs and improve information flows, and it ensures that new technology solutions do not duplicate functionality or diverge from each other and business and IT strategies. Analyzes data and builds solutions.
Responsibilities
    Engage with cross functional business and IT to understand requirements, analyze, design, and help build solution for analytics and data science products
    Drive roadmap of analytics products, Self-service data sets, APIs, and data science based insights in alignment with business goals, and technology capabilities
    Manages stakeholder expectations and communications within the area of delivery
    Understands business environment well enough to identify and engage required stakeholders/Business partners
    Be curious, constantly understand “tough questions”, “Use cases” from business stakeholders and guide team to productize those
    Interacts regularly with stakeholders and engages them in building product roadmap
    Collaborate with IT and business team spread globally
    Ability to analyze complex requirements and come up with simple actionable user stories.
    Deep knowledge on cross functional data and ensure data quality on the products launched
    Participates in brainstorming sessions to identify opportunities and understand various internal/external factors that can impact the analytic product
    Takes direction to translate business needs for information and knowledge into Analytics product solutions that add value to the organization
    Documents and builds consensus for the proposed designs and solutions
    Demonstrates technical expertise responsible for exploring and analyzing data across the enterprise and presents information and key insights that support the organization's growth and sustain strategies
    Ensures documentation is complete, accurate, current and stored appropriately for the solutions
    Ensures appropriate knowledge transfer is done with other team members
    Understands data sources and provides solution to address business requirements and to ensure scalability, reliability, security and performance
    Tests the Data Science model results and ensures all requests are incorporated and product is functioning as expected
    Works on delivering insights from data by developing visualizations
    Designs, develops, and provides implementation of compelling data visualizations, dashboards, tools and utilities using Open Source technologies (Java/J2EE, JavaScript, HTML, CSS, Spring, JQuery, D3, React.js, etc.)
    Understands relationships between data elements in different sources and builds models to help analyze
    Communicates data patterns identified in both internal and external data using various wrangling techniques

Qualifications

    Masters/Bachelors in Business Management or Information Systems or Computer Engineering including mathematics and Statistics
    5+ years’ experience of overall experience in Data Analysis including experience with Data Science related projects
    Experience is building customer data centric products, Sales centric analytic products and executive metrics
    Perform Data Analysis using analytic statistical techniques like Regressions, correlations, classification, Anomaly detection or Hypothesis testing to drive insights
    Strong analytical skills in analyzing complex problems, processes, and systems to propose solutions
    Demonstrated experience with scripting language like Python, R, or other scripting language for exploratory analysis
    Ability to document and prototype business use cases and data flows
    Experience in data visualization using Tableau or similar tools building dashboards that provide key insights and drive business decisions.
    Understanding of data structures and SQL is a MUST
    Experience in multiple data domains like Sales, Marketing, operations is a plus