Decision Science & Product Engineering

Verstand AI is a cloud centric decision science and product engineering firm that helps clients maximize the value of their data through optimized data warehouse engineering and use case appropriate data science tools and machine learning. To complement its professional services offerings in industries such as retail, financial services, pharma and energy, Verstand develops data driven web applications for clients as well as the marketplace.

Verstand is seeking an ambitious data analyst to join one of its product teams. As a key team member, you will provide support across data acquisition/operations, data mining/exploration, and in-depth analysis that leads to modeling, and visualization. The role includes responsibilities across several domains:

Metadata: defining and documenting data to ensure the information is understood. This may include working with product team members to define and redefine the maintenance needs of the metadata.

Data Quality: ensuring rules are in place to define data and that it is measured and trusted.

Information Lifecycle Management: work to archive and purge data in a way that meets the needs of the data product users, while reducing corporate risk.

Data Security and Privacy: manage the security of data access and ensure it is shared in compliance with policies.

Master Data and Reference Data: manage key product data to ensure that stakeholders and analysts are provided with accurate and consistent information.

KEY RESPONSIBILITIES

• Acquire data from various source systems needed for analytical operations and visualizations
• Understand and work with data pipelines (batch and real-time) and data wrangling procedures using Python or SQL in a cloud environment
• Collaborate with engineers and business customers to understand data needs, capture requirements, and deliver complete BI solutions
• Exercise sound analytical capabilities to interpret data within a business context; provide actionable recommendations and implement process improvements
• Work with clients, stakeholders, and senior Verstand management to develop requirements, define success metrics, manage/execute analytical projects and evaluate results
• Assist with the management of analytics infrastructure such as analytics database schemas and data source automation
• Conduct regular data mining and exploratory analyses across the analytics spectrum to ensure data quality, and integrity to produce data insights
• Take lead in defining goals for data that align with the broader organizational vision—building both short- and long-term strategies, such as defining key metrics to track the success
• Apply strong communication skills to influence product decisions and inspire breakthrough results
• Test and iterate in small-scale pilots to validate concepts, refine them to achieve product-market (stakeholder need) fit, and then scale to drive vertical and horizontal economics
• Regularly and systematically use data to uncover opportunities, track product performance, and drive decision making
• Prioritize, negotiate, and remove blockers to orchestrate successful launch and optimization cycles
• Build data expertise and own data quality for allocated areas of ownership

Minimum Experience, Skills, and Education:

• 4-year degree in Computer Science, Engineering, or a related discipline
• 2+ years of experience in an analytical capacity or equivalent graduate degree. Direct exposure to customer analytics, e-commerce, or digital marketing preferred
• Strong SQL and Python language skills
• Familiarity with front-end visualization tools such as PowerBI, Looker, and Tableau
• Proficient with, or able to quickly become proficient with a range of general and specialized applications, software, and hardware used in the organization and the industry
• Requirement gathering and technical discovery experience
• Business intelligence experience
• Cloud data warehouse experience
• Solid understanding of data design patterns and best practices
• Experience in analyzing data to identify deliverables, gaps, and inconsistencies in data sets
• Familiarity with agile software development practices and drive to ship quickly
• Effective communication skills and strong problem-solving/time management skills
• Proven ability and desire to mentor/motivate others in a team environment
• Proficient with Microsoft Office tools such as Word, Excel, PowerPoint, Visio, etc.