About careerzynith careerzynith is a global leader in e‑commerce and technology‑driven retail solutions, delivering innovative experiences to millions of customers every day. With a relentless focus on data‑powered decision making, careerzynith empowers its teams to turn raw information into strategic insights that shape the future of online shopping. Our Louisiana operations serve as a critical hub for data analytics, supporting cross‑functional initiatives that drive efficiency, customer satisfaction, and sustainable growth. If you thrive in a fast‑paced, high‑impact environment where data meets business strategy, careerzynith offers the platform to accelerate your career. Why This Role Matters As a Data Scientist – Analytics at careerzynith, you will be the analytical backbone for product, operations, and leadership teams. Your work will directly influence how the company measures success, optimizes processes, and uncovers new opportunities. This is more than a data entry position; it is a strategic partnership role that blends technical expertise with business acumen to deliver actionable intelligence across the organization. Key Responsibilities Partner with product managers, engineers, and senior leadership to translate business questions into robust analytical frameworks. Design, develop, and maintain automated data pipelines, dashboards, and reporting tools that provide real‑time visibility into key performance indicators (KPIs). Lead the end‑to‑end analytics lifecycle data extraction, cleaning, modeling, visualization, and storytelling. Identify and prioritize data‑driven opportunities, recommending strategic actions that improve operational efficiency and customer experience. Collaborate with cross‑functional teams to operationalize data workflows, ensuring that insights are accessible, reliable, and actionable for all stakeholders. Develop and enforce data governance standards, balancing speed of delivery with data quality and integrity. Mentor junior analysts and data engineers, fostering a culture of continuous learning and analytical excellence. Stay abreast of emerging analytics technologies, machine‑learning techniques, and industry best practices to keep careerzynith at the forefront of innovation. Essential Qualifications Minimum 3 years of hands‑on experience in data analytics or data science within a fast‑growth, consumer‑focused environment. Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Proficiency in SQL and strong programming skills in Python or R . Demonstrated ability to translate complex data sets into clear, business‑focused insights that drive measurable outcomes. Experience with time‑series analysis, A/B testing, and KPI development for product and operational metrics. Excellent communication and collaboration skills, with a proven track record of influencing cross‑functional teams. Strong problem‑solving mindset, capable of navigating ambiguous situations and delivering high‑quality solutions under tight deadlines. Preferred Qualifications Passion for online marketplaces, digital products, and the broader e‑commerce ecosystem. Background in Quality Assurance, defining metrics, and reporting for product excellence. Experience working with event‑driven data architectures and real‑time analytics platforms. Familiarity with machine‑learning algorithms such as logistic regression, decision trees, and neural networks. Exposure to cloud‑based data warehouses (e.g., Snowflake, Redshift) and visualization tools (e.g., Tableau, Looker, Power BI). Advanced degree (M.S. or Ph.D.) in a quantitative discipline is a plus. Core Skills & Competencies Analytical Rigor Ability to design experiments, conduct statistical analysis, and interpret results with precision. Data Storytelling Transform technical findings into compelling narratives for non‑technical audiences. Collaboration Build strong relationships across product, engineering, finance, and operations to champion data‑driven decision making. Technical Agility Quickly learn new tools, languages, and frameworks as business needs evolve. Ownership Mentality Take end‑to‑end responsibility for projects, from conception through delivery and post‑implementation monitoring. Ethical Data Use Uphold privacy standards and ensure responsible handling of customer data. Career Growth & Learning Opportunities careerzynith invests heavily in the professional development of its employees. In this role, you will have access to Mentorship from senior data leaders and industry experts. Sponsored certifications in data science, cloud platforms, and advanced analytics. Opportunities to lead high‑visibility projects that shape company strategy. Cross‑departmental rotations to broaden your business perspective. Regular internal hackathons and innovation challenges that encourage creative problem solving. As you demonstrate impact, you can progress into senior individual contributor roles, analytics management, or strategic product leadership positions within careerzynith’s global network. Work Environment & Culture at careerzynith Our Louisiana office blends the energy of a tech hub with the comfort of a close‑knit community. We champion a culture of curiosity, inclusivity, and continuous improvement. Key cultural pillars include Data‑First Mindset Every decision is backed by evidence, encouraging a transparent and accountable work style. Collaboration Over Silos Teams work together across disciplines, sharing knowledge and celebrating collective wins. Flexibility While we value in‑person collaboration, we also support flexible work arrangements to accommodate personal needs. Well‑Being Focus On‑site wellness programs, mental‑health resources, and a supportive environment that respects work‑life balance. Diversity & Inclusion careerzynith is committed to building a workforce that reflects the diverse customers we serve. Compensation, Benefits & Perks Competitive hourly rate of $27 per hour , with performance‑based bonuses. Comprehensive health suite medical, dental, vision, and disability insurance. Retirement savings plan (401 k) with company matching. Generous paid parental leave, maternity and paternity benefits. Flexible PTO and paid holidays to recharge and spend time with loved ones. On‑site cafeteria offering breakfast, lunch, and dinner, plus complimentary snacks and beverages. Employee assistance programs, wellness challenges, and subsidized gym memberships. Professional development stipend for conferences, courses, and certifications. Transportation assistance and commuter benefits. How to Apply If you are ready to leverage your analytical expertise to drive meaningful impact at a world‑class e‑commerce leader, we want to hear from you. Submit your resume and a brief cover letter outlining your most relevant experience. Apply Job! Apply for this job