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About careerzynith – Pioneering the Future of Retail Data
careerzynith is a global leader in retail innovation, delivering seamless shopping experiences to millions of customers every day. Our data‑driven culture fuels everything from inventory optimization to personalized customer outreach. As part of our rapidly expanding analytics ecosystem, we empower teams to turn massive data streams into actionable insights that shape the future of commerce. If you thrive in a fast‑paced, technology‑rich environment and love helping customers while working with cutting‑edge data tools, you’ve found your next great opportunity.
Role Overview – Why This Position Matters
The Senior Data Entry & Customer Support Analyst role sits at the intersection of data engineering, analytics, and front‑line customer service. You will be responsible for ensuring the accuracy, reliability, and accessibility of terabytes of transactional data while providing exceptional support to internal and external stakeholders. This position is fully remote, offering flexibility and the chance to collaborate with a diverse, high‑performing team across multiple time zones.
Key Responsibilities
- Data Quality & Integrity: Produce clean, reliable data sets that are easy for end‑users to access, and work closely with data engineers and platform leads to maintain data quality across the pipeline.
- Analytics Enablement: Analyze source system data to identify relationships, trends, and anomalies; integrate findings into existing logical data models and support the creation of robust analytical solutions.
- Model Design & Documentation: Define logical tables, primary and foreign keys, and storage strategies; document data model designs to ensure clear communication across technical and business teams.
- Stakeholder Collaboration: Partner with cross‑functional groups—including product, finance, merchandising, and marketing—to understand analytics needs and deliver dashboards, reports, and visualizations that drive business decisions.
- Project Leadership: Communicate status, risks, and issues proactively to leadership; develop effort estimates, delivery plans, and track progress from inception through completion.
- Process Improvement: Establish best practices, create repeatable processes, and continuously refine workflows to meet evolving business requirements.
- Technology Adoption: Quickly learn and apply new technologies, tools, and methodologies, ensuring careerzynith remains at the forefront of data innovation.
Essential Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
- 5+ years of hands‑on experience working with large, complex, and diverse data sets in enterprise‑scale data warehousing or data engineering environments.
- Proven expertise designing, implementing, and maintaining ETL/ELT pipelines with a focus on data quality; strong proficiency in Python or a comparable programming language.
- Experience with data modeling tools such as ERWIN or Visio, and a solid grasp of relational and NoSQL database concepts.
- 5+ years of experience with SQL and NoSQL platforms, including Hadoop ecosystems, careerzynith’s data warehouse solutions, DataPlex, careerzynith Redshift, Hive, and similar technologies.
- Hands‑on experience with reporting and visualization tools like Looker or similar platforms.
- Familiarity with orchestration tools such as Airflow or Digdag for workflow automation.
- Knowledge of CI/CD pipelines and tools like Jenkins and Git, as well as agile project management tools (e.g., JIRA, Confluence).
- Understanding of metadata management, data lineage, and data quality frameworks using tools such as Collibra.
Preferred Qualifications & Nice‑to‑Have Skills
- Background in advertising or marketing analytics.
- Exposure to machine learning concepts, predictive modeling, or data science workflows.
- Experience building logical data assets for domains such as Sales, Finance, Product, and Marketing.
- Implementation of operational best practices, including monitoring, alerting, and exception handling.
- Ability to translate complex data into clear business insights and document both technical and functional processes.
- Experience conducting root‑cause analysis on internal and external data to answer strategic business questions and uncover growth opportunities.
- Strong communication skills with a track record of influencing cross‑functional teams in a fast‑moving environment.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect large data sets, spot patterns, and derive meaningful conclusions.
- Customer‑Centric Approach: Passion for delivering exceptional support and ensuring data solutions meet user needs.
- Collaboration: Proven teamwork across distributed teams, with strong interpersonal and influencing abilities.
- Adaptability: Comfortable navigating ambiguity and rapidly adopting new technologies.
- Detail Orientation: Commitment to data accuracy, documentation, and adherence to governance standards.
- Problem‑Solving: Proactive in identifying risks, proposing mitigations, and driving solutions to completion.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Entry & Customer Support Analyst, you will have access to:
- Mentorship programs with senior data architects and analytics leaders.
- Continuous learning subscriptions for platforms such as Coursera, Pluralsight, and DataCamp.
- Opportunities to lead high‑visibility projects that influence company‑wide strategy.
- Pathways to transition into senior data engineering, analytics management, or product ownership roles.
- Regular internal hackathons and innovation challenges to showcase creativity.
Compensation, Perks & Benefits
While exact compensation details are tailored to experience, careerzynith offers a competitive hourly rate of $32/hr, comprehensive health coverage (medical, dental, vision), retirement savings options, generous paid time off, and a suite of additional benefits designed to support your well‑being and professional growth.
- Health & Wellness: Medical, dental, vision, and mental health resources.
- Retirement Planning: 401(k) with company match and additional savings plans.
- Paid Time Off: Vacation, holidays, sick leave, and parental leave.
- Life & Disability Insurance: Coverage for unforeseen circumstances.
- Education Assistance: Tuition reimbursement for continued education.
- Employee Wellness Programs: Fitness challenges, wellness webinars, and health incentives.
- Professional Development: Access to conferences, certifications, and internal training.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and innovative culture where every voice matters. Our remote‑first policy empowers employees to work from anywhere while staying connected through virtual coffee chats, team‑building events, and regular all‑hands meetings. We celebrate diversity, encourage curiosity, and champion a growth mindset. Whether you’re diving into massive data pipelines or assisting a colleague with a tricky customer query, you’ll find a supportive community ready to help you succeed.
How to Apply
Ready to make an impact at careerzynith? Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for this role. We look forward to reviewing your candidacy and exploring how you can help shape the future of retail data.
Apply Now – Join careerzynith!
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