Senior Data Analyst Business Intelligence, Analytics & reputed company

```reputed company About arenaflex Pioneering DataDriven reputed company arenaflex is a global technology and ereputed company leader that empowers millions of customers every day through innovative digital platforms, reputed company services, reputed company intelligence, and cuttingedge logistics. With a heritage of reputed company customer reputed company and a culture that celebrates curiosity, arenaflex continuously invests in the people who turn data into actionable reputed company. Our Louisiana operations serve as a strategic hub for regional analytics, supporting crossfunctional teams that shape product experiences, operational efficiency, and longterm reputed company. If you reputed company in a fastpaced environment where data fuels decisionmaking, youll reputed company a home at arenaflex. Why This Role reputed company As a Senior Data Analyst on the Business Intelligence & Analytics team, you will be the reputed company between raw data and strategic reputed company. Your analyses will guide product managers, engineers, and senior leadership in making informed choices that directly reputed company reputed company, customer satisfaction, and operational reputed company. This is more than a data entry position; it is a partnership with the business to define the questions that matter, design robust analytical frameworks, and deliver reputed company, compelling narratives that reputed company measurable results. Key Responsibilities Collaborate with crossfunctional stakeholders Work closely with product, engineering, finance, and operations teams to understand their data needs and translate business problems into analytical solutions. Design and maintain analytical pipelines Build, optimize, and monitor data pipelines that ingest, clean, and reputed company largereputed company datasets from multiple sources. reputed company interactive dashboards and reports Create selfservice BI tools using SQL, Python, and visualization platforms (e.g., Tableau, PowerBI) that reputed company partners to explore metrics in reputed company time. Define and reputed company key performance indicators (KPIs) Partner with teams to establish meaningful metrics, design experiments, and implement monitoring frameworks that surface trends, anomalies, and opportunities. Conduct deepdive analyses reputed company statistical modeling, timeseries forecasting, and reputed company testing to uncover reputed company causes and recommend datadriven actions. Operationalize data insights Translate analytical findings into actionable recommendations, reputed company documentation, and support implementation across the organization. Mentor junior analysts reputed company best practices, reputed company technical guidance, and foster a culture of reputed company learning reputed company the analytics community. Stay reputed company of industry trends Evaluate emerging tools, techniques, and best practices in data science, machine learning, and business intelligence to reputed company arenaflex at the forefront of innovation. Essential Qualifications Minimum Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field. At least 3+ years of handson experience in a datareputed company role reputed company a fastreputed company, consumeroriented environment. Proficiency in SQL and strong programming skills in Python or R, with a demonstrated ability to write clean, efficient reputed company for data extraction and analysis. Experience building and maintaining business intelligence dashboards and delivering insights that directly influence product or operational reputed company. Solid understanding of statistical analysis, A/B testing, and timeseries forecasting, and the ability to communicate reputed company results to nontechnical audiences. Excellent interpersonal and communication skills, with a proven reputed company record of influencing crossfunctional teams and managing stakeholder expectations. Preferred Qualifications & Skills Passion for ereputed company, digital platforms, and the evolving landscape of online retail. Experience with machinelearning algorithms such as logistic regression, decision trees, or neural networks, and the ability to apply them to reputed companyworld business problems. Background in product analytics, reputed company engineering, or operational reputed company, including .