Join the Enterprise AI Revolution for Commerce

As a Data Analyst, you should be able to propose creative solutions to develop/solve a business problem. Should be able to recommend design and develop state-of-the-art data-driven analysis using statistical; understating of advanced analytics methodologies to solve business problems & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

Roles and Responsibilities

• Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact
• Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges
• Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making
• Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances
• Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solution
• Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget
• Develop and manage plans to address project strengths, weaknesses, opportunities and threats
• Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations
• Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivated
• Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and client

Experience Required

• 3 plus years experince.
• Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients
• Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness
• Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions
• Must have the ability to adapt to changing business priorities in a fast-paced business environment
• Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data
• Should have a very good understanding of data structures and algorithms
• Experience leading and working independently on projects in a fast-paced environment
• Management skills to manage more than one large, complex projects simultaneously
• Strong communication and interpersonal skills (includes negotiation)
• Excellent written and verbal communication skills

In this role, you will be responsible for understanding our prospective customer’s business problems and how our solution can uniquely solve it. This includes demoing the product and acting technical subject matter expert. You will collaborate closely with the Product Management, Customer Success, Data Science, and Engineering teams to ensure that Hypersonix can be successful with each client. In this role, you will develop and customize our sales materials, security documentation, and lead responses to RFPs.

About Hypersonix.ai:

Hypersonix.ai is the leading AI-driven product sales and margin platform for retailers, omni-channel and eCommerce pure play retailers. Backed by top tier VCs and industry luminaries like Intel Capital, B Capital Group and Firebolt Ventures, Hypersonix Inc. is a creative culture, aka adhocracy - so moving fast, innovating, trying new things, breaking things, and changing direction is the norm and can be exciting!

Applying new, cutting-edge tech and market approaches with a modern way of thinking is encouraged and rewarded for helping the company breakthrough in the GenAI space. They have even been recognized numerous times by prestigious media giants such as Forbes, Fortune, The Information, CNBC and Business Insider for their continued success and growth.

Roles and Responsibilities:

Technical Sales Support:

• Collaborate with sales teams to provide technical expertise and support during the sales cycle to meet the requirements of complex enterprises
• Deliver product demonstrations, including all technical aspects. Ability to comprehend business problems and show how the solution can deliver a requested business outcome on the fly
• Understand early-stage prospects needs and how our solution could uniquely solve their challenges

Product Marketing and Positioning:

• Ability to develop product strategies and messaging for retail technology products and solutions, highlighting their value proposition and unique selling points
• Create compelling marketing collateral, such as product reviews, case studies, and technical documentation, tailored to the retail industry
• Create and share a repository content the sales team can leverage to solve specific pain points
• Conduct research and competitive analysis to identify gaps and opportunities in the retail AI market

Customer and Industry Insights:

• Gather and analyze customer feedback, market trends, and industry-specific insights to inform product roadmaps, and marketing strategies
• Understand the evolving needs and challenges of retailers, such as forecasting, pricing, and competitive pressures
• Leverage past experience in the retail industry to develop trust and better understand the pain points and requirements of potential customers

Cross-Functional Collaboration:

• Work closely with product and engineering teams to ensure product features align with market demand and customer requirements in the retail sector
• Collaborate with product management, sales, and marketing teams to align technical solutions with overall business objectives and go-to-market strategies
• Onboard and train new employees as they come up to speed on our solution and value proposition

We are seeking a highly skilled Web Scraping Specialist to join our team. The successful candidate will be responsible for designing, implementing, and maintaining web scraping processes to gather data from various online sources efficiently and accurately. As a Web Scraping Specialist, you will play a crucial role in collecting data for competitor analysis, and other business intelligence purposes.

Roles and Responsibilities:

• Scalability/Performance: Lead and provide expertise in scraping at scale e-commerce marketplaces.
• Data Source Identification: Identify relevant websites and online sources from which data needs to be scraped. Collaborate with the team to understand data requirements and objectives
• Web Scraping Design: Develop and implement effective web scraping strategies to extract data from targeted websites. This includes selecting appropriate tools, libraries, or frameworks for the task
• Data Extraction: Create and maintain web scraping scripts or programs to extract the required data. Ensure the code is optimized, reliable, and can handle changes in the website's structure
• Collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production environments.
• Data Cleansing and Validation: Cleanse and validate the collected data to eliminate errors, inconsistencies, and duplicates. Ensure data integrity and accuracy throughout the process
• Monitoring and Maintenance: Continuously monitor and maintain the web scraping processes. Address any issues that arise due to website changes, data format modifications, or anti-scraping mechanisms
• Scalability and Performance: Optimize web scraping procedures for efficiency and scalability, especially when dealing with a large volume of data or multiple data sources
• Compliance and Legal Considerations: Stay up-to-date with legal and ethical considerations related to web scraping, including website terms of service, copyright, and privacy regulations
• Documentation: Maintain detailed documentation of web scraping processes, data sources, and methodologies. Create clear and concise instructions for others to follow
• Collaboration: Collaborate with other teams such as data analysts, developers, and business stakeholders to understand data requirements and deliver insights effectively
• Security: Implement security measures to ensure the confidentiality and protection of sensitive data throughout the scraping process

Requirements:

• Proven experience of 5+ years as a Web Scraping Specialist or similar role, with a track record of successful web scraping projects
• Expertise in handling dynamic content, user-agent rotation, bypass CAPTCHAs, rate limits, and utilization of proxy services
• Knowledge on browser fingerprinting
• Has leadership experience
• Proficiency in programming languages commonly used for web scraping, such as Python, BeautifulSoup, Scrapy, or Selenium
• Strong knowledge of HTML, CSS, XPath, and other web technologies relevant to web scraping and Coding
• Knowledge and experience in best of class data storage and retrieval of large volume of scraped data.
• Understanding of web scraping best practices, including handling dynamic content, user-agent rotation, and IP address management
• Attention to detail and the ability to handle and process large volumes of data accurately
• Familiarity with data cleansing techniques and data validation processes
• Good communication skills and the ability to collaborate effectively with cross-functional teams
• Knowledge of web scraping ethics, legal considerations, and compliance with website terms of service
• Strong problem-solving skills and the ability to adapt to changing web environments

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields
• Experience with cloud-based solutions and distributed web scraping systems
• Familiarity with APIs and data extraction from non-public sources
• Knowledge of machine learning techniques for data extraction and natural language processing is desired but not mandatory
• Prior experience in handling large-scale data projects and working with big data frameworks
• Understanding of various data formats such as JSON, XML, CSV, etc
• Experience with version control systems like Git