Position:
Junior Data Analyst
Company:
Hypersonix Inc.
Location:
India (Remote)
Job type:
Full-time
Job mode:
Remote / Work from Home
Job requisition id:
Not provided in the original JD
Years of experience:
0-3 years (Entry Level)
Company description
Hypersonix Inc. stands as a trailblazing force in the realm of Agentic AI, specifically engineered to empower modern commerce and retail brands in their quest for scalable profitability.
The organization operates at the intersection of retail intelligence and advanced automation, providing a sophisticated platform that replaces outdated, manual decision-making processes with high-speed, data-driven execution.
Central to their technological ecosystem is ProfitGPT, a proprietary solution that processes vast quantities of raw commerce data to produce transparent, explainable recommendations that business leaders can trust.
By monitoring market performance around the clock, Hypersonix ensures that enterprise clients remain agile and ahead of competitive shifts in real-time.
The company is backed by significant venture funding and is led by a team of industry veterans from tech giants like SAP, IBM, and Google.
With a global footprint spanning Silicon Valley and major tech hubs in India and Australia, Hypersonix is dedicated to redefining how businesses manage pricing, promotions, and inventory.
Their mission is to provide an "Agentic Operating System" for commerce that is inherently predictive and proactive.
The culture at Hypersonix thrives on innovation, technical excellence, and a shared goal of helping retailers thrive in an increasingly complex digital economy.
Profile overview:
Hypersonix is actively seeking a vibrant and analytically-minded individual to join their Implementation team as a Junior Data Analyst.
In this role, you will act as a vital bridge between complex technical systems and the strategic needs of global customers.
The ideal candidate is someone who is not only technically proficient but also possesses a deep curiosity for how data can be leveraged to solve real-world business challenges.
You will be tasked with transforming intricate business requirements into high-impact analytical outputs, ensuring that every data point serves a strategic purpose.
This position offers a unique opportunity to work closely with cross-functional departments, including Data Engineering and Data Science, to architect comprehensive data warehouses.
Beyond simple reporting, you will be responsible for summarizing Machine Learning outputs into narratives that are actionable for non-technical stakeholders.
As an entry-level professional, you will benefit from mentorship while also contributing to the collective knowledge of the analytics pod.
The role demands a balance of independent project management and collaborative problem-solving to deliver outcomes within scope and on schedule.
Success in this profile requires a strong foundation in data modeling, exploratory analysis, and visual storytelling.
Ultimately, you will be the custodian of data quality, ensuring that every insight provided to the customer is validated, accurate, and aligned with their core business objectives.
Qualifications:
Possession of a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or Economics.
Demonstrated proficiency in SQL for complex data extraction, manipulation, and cleaning across diverse database architectures.
Hands-on experience or academic projects utilizing Python or R to process large datasets and generate meaningful statistical insights.
A foundational understanding of Artificial Intelligence and Machine Learning concepts, specifically the ability to interpret model outputs like regression or classification.
Proven ability to design and maintain interactive intelligence dashboards using leading BI tools like Tableau, Power BI, or Looker.
Exceptional verbal and written communication skills, with the ability to present complex technical findings to diverse audiences clearly.
Strong analytical mindset with the capability to perform detailed data profiling and validation against control totals.
Ability to capture and document business requirements from Business Requirement Documents (BRDs) and translate them into technical specs.
A proactive and self-driven attitude, capable of managing individual tasks with minimal supervision while meeting strict project deadlines.
Familiarity with the e-commerce or retail domain is considered a significant advantage for understanding the nuances of the company’s core product.
Strong collaborative skills to work effectively within an Agile environment alongside Product Managers and Software Engineers.
A commitment to continuous learning and staying updated with the latest trends in data analytics and cloud computing platforms.
Additional info:
This is a 100% remote opportunity, allowing for a flexible work environment while staying connected with a global team through digital collaboration tools.
Employees at Hypersonix have the chance to work with "ProfitGPT," one of the industry's first Agentic AI platforms for commerce.
The role provides extensive exposure to the full data lifecycle, from initial requirement gathering and data modeling to the final presentation of insights.
Hypersonix fosters a culture of mentorship where junior members are encouraged to grow their expertise through hands-on involvement in high-stakes client projects.
The company offers a competitive environment where performance is recognized and there are clear pathways for career progression into Senior Analyst or Data Science roles.
Working here means being at the forefront of the Generative AI revolution, specifically applying LLMs to retail pricing and inventory optimization.
The organization emphasizes the importance of data validation and QA, ensuring that analysts develop a rigorous approach to data integrity.
Candidates will join a team that values diversity of thought and encourages innovative approaches to traditional analytical problems.
Regular interactions with international clients provide a global perspective on how data strategies differ across various markets and regions.
Standard benefits associated with full-time employment in the tech sector are provided, along with the equipment and resources needed for a successful remote setup.
Detailed Operational Responsibilities
Stakeholder Requirements Translation: You will lead the effort in taking raw business needs from clients and converting them into structured analytical plans. This involves deep-diving into Business Requirement Documents (BRDs) to ensure no strategic nuance is lost in translation.
Data Warehouse Contribution: Collaborating with the Data Engineering (DE) team, you will help design and build the underlying data models that power the company’s analytical engines. Your input will ensure the warehouse is optimized for both speed and accuracy.
Exploratory Data Analysis (EDA): You will be responsible for the initial "discovery" phase of any project, profiling data to identify patterns, anomalies, or missing values that could impact the final results.
Machine Learning Output Interpretation: One of your key tasks is to take the complex mathematical outputs generated by the Data Science team and "humanize" them. You will create summaries that tell a story about what the data means for the customer's bottom line.
Intelligence Dashboard Development: Leveraging your expertise in BI tools, you will create the visual interface through which customers interact with their data. These dashboards must be intuitive, real-time, and highly visual.
Analytical Quality Assurance: You will act as the final line of defense for data accuracy. This includes coordinating with Software Engineers to perform validation checks against client control totals to ensure every number is 100% accurate.
Cross-Functional Delivery: You won't work in a silo. You will participate in daily stand-ups and sprint planning with product managers, developers, and data scientists to ensure the implementation stays on track.
Insights Presentation: Beyond just creating the reports, you will be expected to present your findings to customers. This requires the ability to explain "the why" behind the numbers and suggest next steps for business improvement.
Mentorship and Knowledge Sharing: Even as a junior member, you are expected to help train even newer team members or interns, fostering a culture of continuous peer-to-peer learning.
Domain Expertise Building: You will be encouraged to become a subject matter expert in the e-commerce and retail sectors, understanding how seasonal trends, promotions, and competitive pricing impact data behavior.
Technical Skill Application
Advanced SQL Querying: You won't just be doing basic SELECT statements. You will be writing complex joins, subqueries, and window functions to extract specific cohorts of data from massive commerce databases.
Python Scripting for Automation: You will use Python not just for analysis, but to automate repetitive data tasks, ensuring that the implementation process is as efficient as possible.
Statistical Foundation: Your work will be grounded in solid statistical principles. Whether you are validating a model or interpreting a trend, you will use hypothesis testing and probability to ensure your insights are statistically significant.
BI Tool Mastery: Whether the client prefers Tableau or a custom internal tool, you will become an expert at mapping data fields to visual elements that drive quick decision-making.
Data Profiling Tools: You will use specialized tools to assess data quality at the source, identifying "dirty data" before it ever reaches the dashboarding stage.
Collaboration Software: Proficiency in Jira, Confluence, and Slack will be essential for managing your tasks and staying in sync with the distributed global team.
Version Control: Familiarity with Git or similar version control systems will be used to manage your code and analytical scripts, ensuring a transparent and reproducible workflow.
Career Growth and Development
Pathway to Data Science: For those interested in the more algorithmic side of the house, this role serves as an excellent stepping stone. You will work closely with Data Scientists, gaining exposure to how they build and tune their models.
Client Management Skills: By interacting directly with stakeholders, you will develop the "soft skills" necessary for consulting and high-level project management.
Product Influence: Because you are on the front lines of implementation, your feedback on what customers need will directly influence the roadmap for Hypersonix’s core AI products.
Scale and Impact: You will be working on datasets that represent millions of transactions and SKUs. The scale of the data at Hypersonix provides a learning environment that is rare in typical entry-level roles.
Industry Recognition: Working for a company recognized by Gartner as a "Cool Vendor" adds significant prestige to your professional profile and opens doors within the global AI community.
Environmental and Cultural Fit
Innovation-First Mindset: The company is constantly iterating. You should be someone who enjoys a fast-paced environment where "the way we did it yesterday" might be improved today.
Transparent Communication: Hypersonix values honesty and transparency. If a data discrepancy is found, the team works together to solve it without a culture of blame.
Work-Life Integration: As a remote-first organization, the focus is on outcomes rather than hours spent at a desk. This requires a high degree of personal responsibility and time management.
Passion for Commerce: If you find the mechanics of how people buy things and how prices fluctuate fascinating, you will find this work incredibly rewarding.
Please click here to apply.
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