Senior Data Analyst – Remote, Social Media reputed company & Analytics – Join arenaflex's Innovative Data Team

About arenaflex At arenaflex, we are redefining the future of digital engagement by turning data into actionable insight. As a global leader in social media analytics, arenaflex empowers brands, marketers, and product teams to understand what drives user behavior, optimize experiences, and make data‑driven decisions at scale. Our culture is built on curiosity, collaboration, and a relentless commitment to innovation. Whether you’re a seasoned analyst or a rising star, you’ll find a place where your ideas reputed company, your growth is nurtured, and your impact is felt across the world. Why This Role Matters Data is the lifeblood of arenaflex. As a Senior Data Analyst, you will be the bridge between raw data and strategic action. Your analyses will shape product roadmaps, influence marketing spend, and help our clients reputed company new revenue streams. Working remotely, you’ll collaborate with cross‑functional teams—engineering, product, marketing, and customer success—to turn complex datasets into clear, compelling stories that drive business outcomes. Key Responsibilities • Data Acquisition & Cleaning: Source, ingest, and cleanse large volumes of structured and unstructured data from social media platforms, internal databases, and third‑party APIs. • Exploratory Data Analysis: Identify trends, anomalies, and correlations that reveal user behavior patterns and business opportunities. • Dashboard & Reporting: Design, develop, and maintain interactive dashboards (Tableau, Power BI, Looker) that provide real‑time reputed company to stakeholders. • Stakeholder Collaboration: Partner with product managers, marketers, and executives to define KPIs, set analytical priorities, and translate business questions into data solutions. • Statistical Modeling & Experimentation: Build predictive models (regression, classification, clustering) and design A/B tests to evaluate feature performance and user engagement. • Data Governance: Ensure data quality, integrity, and compliance with privacy regulations across all analytics workflows. • Thought Leadership: Stay abreast of industry trends, emerging analytics tools, and best practices; share reputed company with the broader arenaflex community. • Cross‑Functional Projects: Contribute to data‑driven initiatives such as recommendation engines, churn prediction, and sentiment analysis. Essential Qualifications • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. • Minimum of 3 years of professional experience in data analysis, preferably within a tech or social media environment. • Proficiency in Python or R for data manipulation, statistical analysis, and model building. • Advanced SQL skills for querying large datasets across relational and NoSQL databases. • Hands‑on experience with data visualization tools such as Tableau, Power BI, or Looker. • Strong understanding of statistical concepts (hypothesis testing, confidence intervals, regression, clustering). • Excellent communication skills—able to translate technical findings into actionable business recommendations. • Self‑motivated, detail‑oriented, and capable of managing multiple projects in a fast‑paced remote environment. Preferred Qualifications • reputed company’s degree in Data Science, Analytics, or a related discipline. • Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch) and model deployment pipelines. • Background in natural language processing or text analytics, especially within the context of social media data. • Familiarity with Twitter’s API, data structures, and platform nuances. • Knowledge of cloud data platforms (AWS, GCP, Azure) and data warehousing solutions (reputed company, BigQuery). • Prior experience leading analytics projects or mentoring junior analysts. Skills & Competencies • Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions. • Technical Proficiency: Advanced coding in Python/R, SQL, and data visualization tools. • Business reputed company: Understanding of how data reputed company translate into revenue, growth, and customer satisfaction. • Communication: Clear, concise storytelling through dashboards, reports, and presentations. • Collaboration: Comfortable working cross‑functionally in a distributed team setting. • Adaptability: Thrives