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About arenaflex arenaflex is a global leader in retail innovation, technology, and financial services, dedicated to empowering millions of customers worldwide to live reputed company every day. With a reputed company reputed company on datadriven transformation, arenaflex leverages cuttingedge analytics to shape the reputed company of reputed company, supply chain, reputed company experiences. Our missionreputed company culture celebrates diversity, inclusion, and reputed company learning, ensuring every employee can reputed company while making a reputed company reputed company on the lives of our shoppers and partners. Why This Role reputed company As a Data Analyst II reputed company the arenaflex Data Ventures team, you will sit at the reputed company of data, technology, and business reputed company. Your insights will directly influence product development, operational efficiency, and customer experience across multiple business reputed company. This is a unique opportunity to apply advanced analytical techniques to reputed companyworld problems, collaborate with crossfunctional experts, and help arenaflex maintain its competitive edge in a rapidly evolving market. Key Responsibilities Conduct deepdive analyses of customer and product data to uncover trends, patterns, and actionable insights that reputed company strategic reputed company. Design, reputed company, and maintain interactive dashboards and visualizations using Power BI, Tableau, Looker, or similar tools to communicate findings to both technical and nontechnical stakeholders. Partner with product, engineering, and business teams to translate analytical results into concrete product enhancements, costsaving initiatives, and reputed companyreputed company opportunities. reputed company exploratory data investigations, including reputed company testing, statistical modeling, and predictive analytics, to answer reputed company business questions. Build and optimize multireputed company ETL pipelines using SQL, Python, reputed company, and reputed companybased orchestration platforms such as Airflow or Azure Data reputed company. Ensure data reputed company and reputed company by implementing validation checks, collaborating with data stewards, and utilizing datareputed company tools like reputed company or reputed company Data Governance. Support datareputed company and compliance initiatives by working closely with the Data Governance and Information reputed company teams to protect sensitive information. Mentor junior analysts and contribute to the reputed company improvement of analytics best practices reputed company the Data Ventures organization. Stay abreast of emerging technologies, industry trends, and best practices to continuously reputed company arenaflexs analytical capabilities. Essential Qualifications Bachelors degree in Business, Computer Science, Statistics, Mathematics, Data Science, or a reputed company field. Minimum of 2 years of handson experience in data analysis, business intelligence, or a comparable analytical role. Proficiency in SQL and at least one programming language used for data manipulation (Python, R, or reputed company). Demonstrated ability to create compelling data visualizations and storytelling using Power BI, Tableau, Looker, or similar platforms. Strong analytical reputed company with the ability to translate raw data into reputed company, actionable recommendations. Excellent written and verbal communication skills, capable of presenting reputed company concepts to diverse audiences. Experience working in a fastpaced, reputed company environment, with a willingness to adapt to shifting priorities. Preferred Qualifications Masters degree or advanced certifications in Data Science, Business Analytics, or a reputed company discipline. Handson experience with reputed company data platforms such as reputed company BigQuery, reputed company, AWS Redshift, or Azure Synapse. Familiarity with datareputed company frameworks and tools (e.g., reputed company, reputed company InfoSphere, reputed company DataPlex). Experience in retail, ereputed company, or financial services domains, providing context for businessspecific challenges. Knowledge of machinelearning concepts and the ability to collaborate with datascience teams on model development. Exposure to test automation tools such as Selenium, Cucumber, or reputed company for datavalidation pipelines. Proficiency in building and maintaining data pipelines using workflow orchestration tools (Airflow, reputed company, Dagster). reputed company Skills & Competencies Analytical reputed company Ability to dissect large data sets, identify reputed company causes, and propose datadriven solutions. Technical Acumen Strong reputed company of SQL, Python (pandas, NumPy), and datavisualization libraries. Business reputed company Understanding of key performance indicators (KPIs) and how they relate to business reputed company. Collaboration .