Insights Architect (Data Scientist 2)

Title of the role : Insights Architect (Data Scientist 2)

Location : Sunnyvale, CA

Duration : 12 Months

Onsite / Hybrid / Remote : Hybrid

Mode of interview : Zoom Meeting

No of rounds of interview : 3

Primary Function of Position

We are looking for an Insights Architect who will support our global marketing and sales enablement teams with insights gained from analyzing company data.

The Insights Architect provides the Data Analytics & AI team an anchor that will partner with leadership at Client to design, develop, and mature analytical capabilities.

This individual will guide, own, and oversee underlying data structures, database management systems, and the many technologies, tools, processes, and controls necessary to leverage the enterprise data assets.

They must have a proven ability to drive business results with their data-based insights.

They must be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

They must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions and will work with directly with enterprise and digital architects and lead data engineering / technology vendors, and / or external service providers to ensure that new capabilities comply with the information needs of the business.

Roles and Responsibilities

• Develop and implement scalable and reliable analytics, tools, KPI dashboards, for the Global Corporate Marketing and Sales Enablement functions to improve insights and productivity.
• Thinking strategically, creating technical definition around customer objectives in complex situations, developing solution strategies, motivate & mobilize resources, and deliver results.
• Interface with business customers, gathering requirements and delivering complete data products (datasets, visualization and more)
• Oversee the development of analytical solutions in the data mart and shepherd the design review process, allowing assets to move into the enterprise catalog.
• Design and implement data quality processes across our software systems and highlight opportunities for improvement.
• Guide architecture design review process to drive ongoing improvement efforts.
• Partner with IT systems owners, Enterprise Architecture data owners, & Marketing ops business process owners to augment the planning, prioritization, & alignment on critical initiatives.
• Collaborate with data engineering to design data standards and architectures that support the business organizations.
• Architect and design analytical solutions that meet the requirements of business end users.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use business data & statistical methods to provide insight into business performance and suggest areas and methods of improving operations.
• Participate in strategic & tactical planning discussions.
• Practice good data and reporting governance & help improve overall master data integrity.
• Demonstrating stakeholder management skills with the ability to work well with a cross-functional and geographically dispersed team and customer base.

Skills & Experience

Bachelor's degree in engineering, mathematics, computer science, data science, statistics, finance, or a similar quantitative field 5 years' experience in Business Analytics, Data Science, Software Development, or related field with a proven track record of manipulating, processing, and extracting value from large datasets.

5 years' experience using data warehouse solutions and databases (using tools such as SQL, PL / SQL, MDX, etc.)

Strong SQL skills, ability to perform optimized querying involving multiple tables and subqueries.

4 years' experience using business intelligence reporting tools (such as Tableau, Alteryx, PowerBI, etc.)

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Experience using analytical concepts and statistical techniques : hypothesis development, designing tests / experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business teams.

Experience working with business system requirements and building solutions.

Experience gathering / documenting business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.

Strong project management and organizational skills required (agile projects), including a thorough understanding of how to interpret customer business needs and translate them into technical solutions.

Ability to effectively prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion.

Intellectual curiosity with a strong passion for continuous improvement and process automation. Strong problem-solving, quantitative, and analytical abilities; Solution-oriented.

Excellent written and verbal communication skills.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks is a plus.

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