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About careerzynith – Pioneering Data‑Driven Retail Innovation
careerzynith is on a mission to reinvent the retail experience by harnessing the power of data, artificial intelligence, and creative storytelling. As a global leader in fashion retail, careerzynith blends cutting‑edge technology with a deep understanding of consumer behavior to deliver personalized, high‑quality products and unforgettable shopping journeys. Our careerzynith Media Network sits at the intersection of brand advertising and analytics, partnering with top‑tier brands to design data‑driven marketing campaigns that resonate, convert, and inspire.
Within the Data Science & Analytics division, we strive to be the most data‑savvy fashion retailer on the planet. We achieve this by applying rigorous statistical methods, advanced machine learning, and a relentless curiosity to solve strategic business challenges. If you thrive in an environment where data meets design, where numbers are turned into narratives, and where every insight fuels a better customer experience, you’ll feel right at home at careerzynith.
Why This Role Matters
The Data Analyst 2 position is a cornerstone of the careerzynith Media Network. You will act as the quantitative right‑hand to senior leadership, translating complex media data into clear, actionable stories that guide strategic decisions across advertising, merchandising, and customer engagement. Your work will directly influence how brands allocate media spend, how campaigns are optimized, and how we measure the true impact of our marketing initiatives.
Key Responsibilities
- Data Storytelling & Visualization: Craft compelling visual narratives using Looker, Tableau, or comparable BI tools, making data accessible to stakeholders with varying technical expertise.
- Dashboard Development & Automation: Build and maintain production‑level dashboards that deliver real‑time insights on media performance, customer behavior, and merchandising outcomes.
- Campaign Reporting & Post‑Analysis: Deliver weekly and ad‑hoc reports that provide deep, robust post‑campaign insights, highlighting successes, gaps, and optimization opportunities.
- Advanced Analytics Projects: Lead or support initiatives such as incrementality testing, cohort analysis, and closed‑loop measurement to quantify the true lift generated by marketing activities.
- Stakeholder Partnership: Collaborate closely with Sales, Account Managers, and cross‑functional teams to identify business problems, propose data‑driven solutions, and track implementation impact.
- Code Review & Knowledge Sharing: Work alongside a small team of analysts and agency partners to review SQL code, share best practices, and foster a culture of continuous learning.
- Prioritization & Ambiguity Management: Balance competing priorities, focus on high‑impact work, and navigate ambiguous situations to deliver measurable value.
Core Qualifications
- 2–5 years of professional experience analyzing complex media data, drawing actionable conclusions, and presenting recommendations to senior leadership.
- 2–5 years of hands‑on experience writing, optimizing, and deploying production‑level SQL queries in a relational database environment.
- 2–5 years of experience creating advanced BI visualizations, preferably with Looker or Tableau, and a proven ability to translate raw data into intuitive dashboards.
- Strong storytelling aptitude—ability to turn data points into narratives that drive decision‑making and inspire action.
- Bachelor’s degree in Business, Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative discipline (preferred).
- Demonstrated strategic thinking with a curiosity to explore business domains, data sources, and key performance metrics.
Preferred Experience & Skills
- Direct experience working in marketing analytics or the retail industry, with an understanding of media buying, campaign measurement, and shopper behavior.
- Familiarity with statistical testing methods (e.g., A/B testing, propensity modeling) and the ability to design experiments that isolate causal impact.
- Proficiency in a scripting language such as Python or R for data manipulation, statistical analysis, and automation of repetitive tasks.
- Exposure to cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and modern data warehousing concepts.
- Excellent communication skills—both written and verbal—and the confidence to present findings to executive audiences.
- Collaborative mindset with a track record of thriving in cross‑functional, fast‑paced environments.
What You’ll Gain – Career Growth & Learning
careerzynith invests heavily in the professional development of its people. As a Data Analyst 2, you will have access to:
- Mentorship & Coaching: Direct reporting to the Sr. Manager of Data Science & Analytics, providing regular feedback, career guidance, and exposure to senior leadership.
- Learning Resources: Subscriptions to leading analytics platforms, online courses (e.g., Coursera, Udacity), and internal workshops on advanced analytics, machine learning, and data engineering.
- Cross‑Functional Projects: Opportunities to work on high‑visibility initiatives that span advertising, merchandising, and product development, broadening your business acumen.
- Career Pathways: Clear progression routes toward senior analyst, analytics manager, or data science specialist roles within careerzynith’s expansive analytics ecosystem.
- Conference Attendance: Funding to attend industry conferences such as Gartner Data & Analytics Summit, Tableau Conference, or Retail Analytics Forum.
Culture, Environment & Values at careerzynith
Our culture is built on curiosity, collaboration, and a relentless pursuit of excellence. At careerzynith you will find:
- Inclusive Community: A diverse workforce where every voice is heard, and ideas are judged on merit, not tenure.
- Innovation‑First Mindset: Teams are encouraged to experiment, fail fast, and iterate—empowering you to bring bold ideas to life.
- Flexibility & Remote‑First Policy: This role is fully remote, offering flexible work hours that accommodate different time zones and personal commitments.
- Data‑Driven Decision Culture: From the C‑suite to front‑line teams, data is the lingua franca that guides strategy, ensuring your work has immediate impact.
- Well‑Being Focus: careerzynith provides mental‑health resources, employee assistance programs, and regular wellness initiatives to support a balanced life.
Compensation, Benefits & Perks
careerzynith offers a competitive salary range that reflects experience, expertise, and geographic location, complemented by performance‑based incentives. In addition to base pay, you will receive:
- Comprehensive Health Coverage: Medical, vision, and dental plans with generous employer contributions.
- Retirement Savings: 401(k) plan with company match to help you build long‑term financial security.
- Paid Time Off & Holidays: Flexible PTO accruals, paid holidays, and additional leave for personal milestones.
- Life & Disability Insurance: Protection for you and your loved ones.
- Employee Discounts & Merchandise Benefits: Access to careerzynith’s fashion catalog at preferential rates.
- Learning & Development Stipend: Annual budget to pursue certifications, courses, or conferences.
- Wellness Programs: Virtual fitness classes, mindfulness sessions, and ergonomic home‑office support.
All benefits are subject to eligibility criteria based on location, employment classification, and tenure.
Ready to Shape the Future of Retail Analytics?
If you are an analytical storyteller who thrives on turning raw media data into strategic insight, we want to hear from you. Join careerzynith’s dynamic analytics team, collaborate with industry‑leading brands, and help define the next generation of data‑driven retail experiences.
Apply today and embark on a career where your curiosity is celebrated, your expertise is amplified, and your impact is measurable.
Apply Now – Join careerzynith
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