Position:
• Junior Data Analyst
Company:
• Hypersonix
Location:
• Remote
Job type:
• Full Time
Job mode:
• Remote
Job requisition id:
• Not specified
Years of experience:
• Entry Level
• 0-3 years
About the Position
• Hypersonix is seeking a motivated and detail oriented Junior Data Analyst to join its growing team and contribute to the development of modern analytics solutions for clients.
• This role offers an opportunity to work alongside implementation specialists, customers, data engineers, software engineers, product managers, and data scientists to transform business requirements into meaningful analytical outcomes.
• The successful candidate will play an important role in helping organizations derive value from data by supporting the creation of data warehouses, dashboards, reporting frameworks, and machine learning driven insights.
• Individuals who enjoy solving business problems using data, analytics, and visualization tools will find this role both challenging and rewarding.
• The position requires a combination of technical capability, analytical thinking, communication skills, and business understanding.
• Candidates will work across multiple projects and industries, helping customers understand trends, opportunities, and business performance through data driven decision making.
• The role also provides exposure to machine learning projects, advanced analytics workflows, data modeling, and customer facing interactions.
• This opportunity is ideal for individuals looking to establish a strong foundation in analytics while collaborating with experienced professionals across multiple functions.
Company Description
• Hypersonix is a technology focused organization that helps businesses unlock value from their data through analytics, intelligence platforms, machine learning solutions, and decision support systems.
• The company focuses on enabling organizations to make informed decisions by transforming raw information into actionable business intelligence.
• By combining expertise in data engineering, analytics, visualization, and machine learning, Hypersonix supports customers in building scalable data ecosystems that improve operational efficiency and strategic planning.
• The organization works closely with customers to understand business objectives and convert those objectives into measurable outcomes through data driven solutions.
• Teams at Hypersonix collaborate across technical and business functions, creating an environment where innovation, experimentation, and continuous learning are encouraged.
• Employees have opportunities to work on real world business challenges involving large datasets, analytical reporting, customer insights, forecasting, and operational intelligence.
• The company values individuals who demonstrate curiosity, ownership, accountability, and a commitment to delivering high quality outcomes.
• Through its focus on technology, analytics, and customer success, Hypersonix continues to support organizations in improving performance through intelligent use of data.
• Team members are encouraged to develop their expertise while contributing to projects that have measurable business impact.
• The company promotes collaboration and knowledge sharing, enabling professionals to expand their skills and grow their careers in analytics and data driven problem solving.
Profile Overview
• The Junior Data Analyst position is designed for individuals who have a passion for analytics and a desire to solve business problems using data.
• In this role, the analyst serves as a bridge between business stakeholders and technical teams, helping convert requirements into meaningful analytical solutions.
• The position involves working with customers, implementation teams, data engineers, product managers, and data scientists to ensure business needs are accurately translated into reports, dashboards, and insights.
• Analysts are expected to understand business objectives and identify the data required to support decision making.
• The role includes participation in data exploration activities to uncover patterns, trends, anomalies, and opportunities.
• Professionals in this position will contribute to the creation of dashboards that provide visibility into key performance indicators and operational metrics.
• The analyst will also support machine learning initiatives by helping interpret statistical outputs and converting technical findings into business friendly insights.
• Strong communication skills are important because the role requires presenting findings and recommendations to both technical and non technical audiences.
• The position offers exposure to multiple aspects of the data lifecycle, including data collection, validation, modeling, reporting, and insight generation.
• Candidates will gain valuable experience working on customer focused projects while developing expertise in analytics, business intelligence, and data driven decision making.
• The role encourages independent thinking, problem solving, and continuous learning.
• Individuals who enjoy working with data, identifying patterns, and influencing business outcomes will find significant opportunities for professional growth in this position.
Key Responsibilities
• Interpret business requirements and convert them into analytical outputs that support decision making.
• Design and develop dashboards that communicate business performance, trends, and insights in a clear and effective manner.
• Transform machine learning outputs into understandable recommendations and actionable business intelligence.
• Conduct data exploration and profiling activities to understand data quality, structure, and relevance.
• Collaborate closely with data engineering teams to create and maintain data models that support reporting and analytics requirements.
• Assist in the development of scalable analytical frameworks that improve reporting efficiency and data accessibility.
• Support junior analysts by sharing knowledge, guidance, and best practices when required.
• Work with multiple stakeholders across departments to ensure successful project delivery.
• Participate in cross functional initiatives involving analytics, engineering, implementation, and customer teams.
• Coordinate with engineering teams to validate data accuracy and consistency.
• Compare processed data against customer provided control totals to ensure data integrity.
• Support quality assurance efforts by reviewing outputs generated through analytical and machine learning processes.
• Collaborate with data science teams to evaluate and validate analytical results when necessary.
• Gather business requirements from documentation and stakeholder discussions.
• Work closely with product managers to refine requirements and define expected outcomes.
• Review dashboards, reports, and analytical deliverables before presentation to customers.
• Prepare business insights and recommendations for client presentations and discussions.
• Apply domain understanding and analytical expertise to identify opportunities and trends.
• Build intelligence dashboards that help organizations monitor performance and make informed decisions.
• Maintain a strong focus on customer requirements and business objectives throughout project execution.
• Deliver assigned tasks within agreed timelines while maintaining quality standards.
• Demonstrate accountability and ownership for assigned projects and deliverables.
• Continuously improve analytical processes and reporting methodologies.
• Support organizational goals through effective collaboration and problem solving.
Qualifications
• Strong understanding of SQL and the ability to write queries for data extraction and analysis.
• Ability to work with programming languages such as Python, R, or similar technologies used for analytics.
• Knowledge of data manipulation, transformation, and analytical workflows.
• Understanding of statistical concepts and their application in business analytics.
• Familiarity with machine learning concepts and model outputs.
• Ability to interpret machine learning results and convert them into business insights.
• Experience working with large datasets and extracting meaningful information from complex data sources.
• Strong analytical and problem solving skills.
• Knowledge of dashboard creation and business intelligence tools.
• Ability to design visualizations that effectively communicate insights and performance metrics.
• Understanding of reporting frameworks and data visualization best practices.
• Strong communication skills, both verbal and written.
• Ability to explain technical findings to non technical audiences.
• Strong attention to detail and commitment to accuracy.
• Ability to work independently while collaborating effectively with teams.
• Good organizational and time management skills.
• Ability to manage multiple priorities and deadlines.
• Strong learning mindset and willingness to acquire new skills.
• Customer focused approach to problem solving.
• Ability to understand business requirements and translate them into analytical solutions.
• Professional attitude and collaborative working style.
• Capability to work in a fast paced environment with evolving priorities.
Skills and Technical Expertise
• SQL
• Python
• R
• Data Analysis
• Data Exploration
• Data Profiling
• Data Validation
• Data Modeling
• Machine Learning Fundamentals
• Statistical Analysis
• Business Intelligence
• Dashboard Development
• Data Visualization
• Reporting
• Insight Generation
• Analytical Thinking
• Problem Solving
• Stakeholder Management
• Cross Functional Collaboration
• Quality Assurance
• Business Requirements Analysis
• Customer Communication
Preferred Qualifications
• Exposure to Ecommerce domain operations and metrics.
• Familiarity with Retail industry analytics and reporting practices.
• Understanding of customer behavior analysis and performance measurement.
• Knowledge of retail data structures and transactional datasets.
• Experience working with business intelligence platforms.
• Interest in advanced analytics and machine learning applications.
• Ability to identify business opportunities through data interpretation.
• Curiosity about emerging technologies and analytical methodologies.
Additional Information
• This is a remote opportunity that allows professionals to collaborate with distributed teams and customers.
• The role offers exposure to real world analytics projects across multiple business functions.
• Employees will have opportunities to work closely with implementation specialists, data engineers, software engineers, product managers, and data scientists.
• The position provides valuable experience in analytics, business intelligence, machine learning support, and customer engagement.
• Candidates will gain practical exposure to dashboard creation, data modeling, quality assurance, and insight generation.
• The role encourages continuous learning and professional development.
• Individuals will have opportunities to strengthen technical skills while improving business communication capabilities.
• Exposure to customer facing interactions helps develop presentation and stakeholder management skills.
• The position supports career growth for aspiring analysts interested in advancing toward senior analytics, business intelligence, data science, or product analytics roles.
• Success in this role requires strong ownership, accountability, attention to detail, and a commitment to delivering high quality analytical outcomes.
• Candidates who are self motivated, curious, and passionate about data will be well positioned to succeed.
• The organization values collaboration, innovation, and a results oriented mindset.
• This role offers an excellent starting point for individuals seeking to build a long term career in analytics and data driven decision making.
Please click here to apply.
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