Dynamic Entry‑Level Remote Data Analyst – Nike Global Analytics Team – Flexible Work‑From‑Home Opportunity

About Nike: A Global Leader Powered by Passion and Innovation At Nike, we are more than a world‑renowned sportswear brand – we are a cultural catalyst that inspires athletes of every ability to push beyond limits. For over 50 years, Nike has pioneered cutting‑edge product design, groundbreaking technology, and bold storytelling that reshapes how people experience sport, fitness, and everyday life. Our commitment to “bringing inspiration and innovation to every athlete in the world” extends to every corner of the organization, including the data‑driven insights that fuel strategic decisions across product development, marketing, supply chain, and digital experiences. Joining Nike means becoming part of a purpose‑centric community that values diversity, creativity, and relentless curiosity. As a remote employee, you will experience the same high‑performance culture that defines our physical offices, while enjoying the flexibility to work from wherever you feel most productive. Position Overview: Entry‑Level Remote Data Analyst The Entry‑Level Remote Data Analyst role is a gateway to a rewarding analytics career within a globally recognized brand. You will collaborate with seasoned data professionals, product managers, and marketing strategists to translate raw data into actionable intelligence that shapes the future of sportswear, digital experiences, and consumer engagement. This is a fully remote, full‑time position that offers immediate start dates for motivated candidates. Key Responsibilities • Data Collection & Preparation: Gather data from internal systems (e.g., sales dashboards, e‑commerce platforms, supply‑chain tools) and external sources (market research, social media trends). Clean, normalize, and validate datasets to ensure accuracy before analysis. • Exploratory Data Analysis (EDA): Conduct thorough EDA using statistical techniques and visual storytelling to uncover patterns, correlations, and anomalies that inform business questions. • Analytical Modeling & Insight Generation: Build predictive and descriptive models in Python or R to support forecasting, segmentation, and performance measurement. Translate model outputs into clear, data‑driven recommendations. • Dashboard & Report Development: Design interactive visualizations in Tableau, Power BI, or Looker that enable stakeholders to monitor key performance indicators (KPIs) in real time. Ensure reports are user‑friendly and aligned with brand standards. • Cross‑Functional Collaboration: Partner with product development teams, digital marketers, finance, and supply‑chain specialists to understand data needs, refine analytical questions, and co‑create solutions. • Data Governance & Quality Assurance: Implement best practices for data lineage, documentation, and version control. Perform regular audits to maintain high data integrity across all analytical assets. • Continuous Learning & Industry Awareness: Stay current with emerging analytics tools, sports industry trends, and consumer behavior insights. Bring fresh ideas to the team and contribute to the evolution of Nike’s analytics roadmap. Essential Qualifications • Educational Background: Bachelor’s degree in Business Analytics, Statistics, Computer Science, Economics, or a related quantitative discipline (or equivalent practical experience). • Technical Proficiency: Demonstrated ability to manipulate data using Excel (advanced functions, pivot tables) and at least one programming language such as Python or R for data cleaning, analysis, and modeling. • Statistical Foundations: Solid understanding of descriptive statistics, hypothesis testing, regression analysis, and basic forecasting methods. • Data Visualization Skills: Practical experience creating dynamic dashboards and visual reports with Tableau, Power BI, or similar tools, focusing on clarity, storytelling, and actionable insights. • Problem‑Solving Mindset: Proven track record of breaking down complex business problems, developing analytical approaches, and presenting concise recommendations. • Communication Excellence: Strong written and verbal communication abilities, capable of translating technical findings into language that resonates with non‑technical audiences. • Team Orientation: Demonstrated collaboration in cross‑functional settings, with a proactive attitude toward sharing knowledge and supporting teammates. • Remote Work Readiness: Self‑discipline, reliable internet connectivity, and a comfortable home office setup that meets professional standards. Preferred Qualifications (Nice to Have) • Internship or project experience in a consumer‑focused industry, especially apparel, footwear, or e‑commerce. • Familiarity with cloud‑based data platforms such as Snowflake, bolthires BigQuery, or AWS Redshift. • Exposure to machine‑learning libraries (scikit‑learn, TensorFlow) for building simple predictive models. • Knowledge of SQL for querying relational databases. • Certification in data analytics or visualization (e.g., Tableau Desktop Specialist, bolthires Certified: Data Analyst Associate). • Passion for sports, fitness, or lifestyle trends that can inform a deeper understanding of Nike’s consumer base. Core Skills & Competencies for Success • Analytical Rigor: Ability to approach data with curiosity, precision, and a methodical mindset. • Storytelling with Data: Transforming numbers into compelling narratives that drive strategic decisions. • Attention to Detail: Meticulous handling of datasets to prevent errors that could mislead stakeholders. • Adaptability: Comfort navigating a fast‑paced, constantly evolving environment where priorities shift quickly. • Time Management: Prioritizing tasks and delivering high‑quality work within deadlines, especially while working remotely. • Collaborative Spirit: Engaging respectfully with colleagues across geography and function, fostering inclusive dialogue. • Growth Mindset: Eagerness to acquire new tools, techniques, and industry knowledge on an ongoing basis. Learning & Development Opportunities At Nike, your professional growth is a strategic priority. As an entry‑level analyst, you will enjoy access to a robust learning ecosystem, including: • Mentorship programs paired with senior data scientists and business leaders. • Internal training portals offering courses on advanced analytics, data engineering, and visualization best practices. • Sponsored attendance at industry conferences, webinars, and workshops (e.g., Strata Data Conference, Tableau Conference). • Rotational projects across marketing, product innovation, and supply‑chain analytics to broaden functional expertise. • Opportunity to earn certifications funded by Nike, such as AWS Data Analytics Specialty or bolthires Data Engineer. Career Path & Advancement The Entry‑Level Remote Data Analyst role serves as a launchpad toward a wide array of career pathways within Nike’s global analytics organization: • Data Analyst → Senior Data Analyst → Analytics Lead → Director of Analytics • Specialization tracks, including Marketing Analytics, Product Insights, Supply‑Chain Optimization, or Customer Experience Analytics. • Transition into data engineering, data science, or strategic consultancy roles, depending on interests and skill development. • Access to internal job boards that prioritize internal mobility, ensuring you can continually align your career with evolving passions. Through performance excellence, continuous learning, and demonstrated impact, you can ascend quickly and shape the analytical future of a global powerhouse. Work Environment, Culture & Remote Flexibility Nike’s culture is built on the pillars of innovation, diversity, and inclusive collaboration. Even as a remote employee, you will experience: • A virtual community that encourages open dialogue, idea sharing, and cross‑time‑zone teamwork. • Regular virtual “culture moments” such as wellness challenges, product‑kickoff sessions, and global town‑halls. • Commitment to work‑life integration, with flexible schedules that accommodate personal priorities while meeting business needs. • Inclusive policies that celebrate individuality, supporting employees of all backgrounds, identities, and abilities. • State‑of‑the‑art collaboration tools (Slack, bolthires Teams, Confluence) that keep you connected to teammates worldwide. Compensation, Perks & Benefits (General Overview) While specific salary ranges will be discussed during the interview process, Nike offers a competitive total‑reward package that includes: • Base salary aligned with market benchmarks for entry‑level analytics positions. • Performance‑based bonuses that recognize individual and team contributions. • Comprehensive health, dental, and vision coverage. • Retirement savings plan with company matching. • Generous paid time off, parental leave, and flexible holidays. • Employee‑discount program for Nike products worldwide. • Wellness stipend, virtual fitness classes, and mental‑health resources. • Technology allowance to ensure a productive home‑office setup. • Opportunities for global travel on short‑term projects or team retreats (subject to role and seniority). If you are an ambitious, data‑curious professional eager to blend analytical rigor with the excitement of the sports and lifestyle arena, we invite you to submit your résumé, a concise cover letter, and a portfolio (if applicable) showcasing relevant projects. Please click the link below to start your application journey. – Join the Nike Analytics Team Closing Invitation At Nike, every data point is a stepping stone toward empowering athletes around the globe. Your analytical expertise will help craft the stories, products, and experiences that inspire millions. Don’t miss the chance to launch a dynamic career where your insights drive real‑world impact. and become part of a legacy that celebrates movement, innovation, and the relentless pursuit of greatness. Apply This Job Apply tot his job Apply tot his job Apply tot his job Apply To this Job Company : Topsiksha Salary : 15–25 an hour