Analyst, E-commerce / Retail Analytics Fornax

About Fornax

Job Description

Who is this for If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using core concept of analytics. We are seeking a skilled Analyst who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise. Key Responsibilities: Stake Holder Management & Collaboration ( 30 % ) :- Work with data scientists, analysts, and stakeholders to understand data needs. Analyze and interpret e-commerce data to identify trends, opportunities, and areas for improvement. Analyse business needs of stakeholders and customers. Gather Customer requirements via workshop questionnaires, surveys, site visit, Workflow storyboards, use cases and scenario mappings. Translate Business Requirements into functional requirements Create extensive project scope documentations to keep project and client teams on the same page. Collaborate with cross-functional teams to integrate analytics insights into the clients operational processes. Data Modeling ( 20% ) : Develop and maintain data models to support analytics and reporting. Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards Data Quality Management & Governance(20%) : Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data Provide training and support to team members on data quality best practices and validation procedures Dashboard Development & Visualization( 30% ) : Design and develop interactive dashboards and reports using modern visualization tools (Tableau, Power BI, Looker) to track key e-commerce and retail performance metrics Implement advanced dashboard features including drill-down capabilities, custom filters, and dynamic parameters to enable self-service analytics Develop standardized templates and style guides to ensure consistency across all dashboard deployments Provide training and support to business users on dashboard functionality and best practices for data interpretation Key Skills Education: Bachelors degree in Computer Science, Data Science, Engineering, or related field. Experience: 2+ years of experience in analytics. Technical Skills: Proficiency in SQL and database technologies Core expertise with dbt (data build tool). Experience with data pipeline tools (e.g., Apache Airflow/ Mage). Familiarity with cloud platforms (e.g., AWS, Google Cloud). Knowledge of Python or R. Experience with data visualization tools (e.g., Tableau, Power BI).,