About careerzynith
At careerzynith, we believe that data is the most valuable currency in modern commerce. Our mission is to unlock the full potential of large-scale retail intelligence by designing, building, and productizing B2B data products that empower vendors, suppliers, and merchants to make better, faster, and more confident business decisions. As part of this transformation, we are assembling a world-class team of analytical thinkers, problem solvers, and product innovators who are passionate about turning raw information into actionable strategy.
We are seeking a driven and intellectually curious Senior Data Insights Analyst to join our growing organization. In this remote-friendly position, you will play a critical role in shaping how data is productized—from early-stage concept development through to large-scale deployment. You will work with some of the richest datasets in the industry, collaborate with cross-functional teams, and influence decisions that affect how the world’s leading retailers, brands, and suppliers operate.
Who We Are
careerzynith exists to unlock the full value of retail-scale data by creating and productizing B2B data products that enable vendors and suppliers to make smarter, faster decisions for their business. As part of this ongoing transformation, we are looking for entrepreneurial individuals who can help drive data productization from idea to deployment.
As a Senior Data Insights Analyst, you will help pioneer ad-hoc product analysis and build critical data solutions to better understand a customer. You will support the product supervisory team in expanding our portfolio of customer-centric products by identifying and evaluating new product opportunities and proposing flexible, scalable solutions. You will have access to vast global datasets, allowing you to perform deep, meaningful analysis. Your insights will influence strategic decisions that impact how the entire organization operates—and you will do so at an extraordinary scale.
In this role, you will be part of a larger group focused on “Know Your Customer” initiatives, working closely with our partners in Global Technology, Data Governance, and various other product teams across careerzynith.
What Will Deeply Inspire Us
- You have strong exploratory data analysis skills and the ability to create insightful, data-driven recommendations and solutions.
- You are proficient in languages used to manipulate data and extract insights from large datasets (SQL, Python, and similar tools).
- You have experience providing end-user support and troubleshooting data quality issues.
- You have prior experience in the retail or financial services industry.
- You possess compelling, influential oral and written communication skills and can build strong functional relationships.
- You are comfortable navigating shifting priorities in a fast-paced, dynamic environment.
How You’ll Make an Impact
- Cleaning and preparing data for analysis by removing errors, identifying outliers, and transforming data into formats that can be effectively analyzed.
- Investigating data and exploring it for insights using statistical methods to test hypotheses, identify trends, and make predictions.
- Generating code primarily in Python to automate analysis, build models, and streamline workflows.
- Approaching problems logically and making informed decisions based on data.
- Ensuring accuracy in data analysis with meticulous attention to detail, recognizing inconsistencies or errors in data.
- Clearly communicating findings—both written and orally—to non-technical stakeholders, including creating dashboards and reports that convey insights using tools like Power BI, Tableau, or Excel.
- Developing solutions to business problems using data-driven approaches.
- Collaborating with developers, engineers, and management leaders, understanding their needs, and providing them with meaningful data insights.
- Understanding the ethical implications of data use, storage, and analysis, particularly regarding privacy and security.
Essential Qualifications
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. A Master’s degree is a plus.
- Technical Skills: Advanced proficiency in SQL and Python. Experience working with large-scale datasets and distributed computing environments.
- Analytical Mindset: Demonstrated ability to perform exploratory data analysis, hypothesis testing, and statistical modeling.
- Communication: Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear business narratives.
- Tools: Hands-on experience with at least one data visualization platform such as Power BI, Tableau, or Looker.
- Domain Experience: Prior work in retail, e-commerce, financial services, or a similar data-rich industry.
Preferred Qualifications
- Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure.
- Familiarity with machine learning frameworks and predictive modeling techniques.
- Background in B2B product analytics or customer intelligence initiatives.
- Track record of building data products from concept through production deployment.
- Experience working in agile, cross-functional product teams.
Key Skills and Competencies
- Critical Thinking: Ability to break down complex problems, evaluate evidence, and propose actionable solutions.
- Attention to Detail: Strong commitment to data accuracy and quality assurance.
- Collaboration: Comfortable working across teams including engineering, product management, and executive leadership.
- Adaptability: Ability to thrive in a fast-paced environment with evolving priorities.
- Initiative: Self-starter who can independently identify opportunities and drive projects forward.
- Ethical Judgment: Deep understanding of data privacy, security, and responsible data stewardship.
Career Growth and Learning Opportunities
At careerzynith, your growth is our growth. We are committed to investing in our team members through continuous learning, mentorship, and exposure to high-impact projects. As a Senior Data Insights Analyst, you will have the opportunity to:
- Work on complex, large-scale datasets that have real-world business impact across global markets.
- Collaborate with senior leaders and cross-functional partners who will help shape your career trajectory.
- Access professional development resources, including conference attendance, certification programs, and internal training sessions.
- Explore pathways into roles such as Data Science, Product Management, Analytics Engineering, or Technical Leadership.
- Contribute to a culture that values curiosity, experimentation, and the freedom to challenge conventional thinking.
Work Environment and Company Culture
careerzynith fosters a remote-first culture that values flexibility, autonomy, and results. We believe that great work happens when talented individuals are empowered to do their best work from wherever they are most productive. Our team is distributed across multiple regions, bringing together diverse perspectives and a shared commitment to excellence.
Our culture is built on the principles of collaboration, transparency, and continuous improvement. We celebrate curiosity, reward initiative, and support each other in achieving ambitious goals. Whether you’re brainstorming in a virtual whiteboard session or deep-diving into a complex dataset at midnight, you’ll find a team that’s energized by the work and respectful of work-life balance.
We are an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applicants from all backgrounds, identities, and experiences.
Compensation, Perks, and Benefits
careerzynith offers a competitive compensation package designed to attract and retain top talent. While specific benefits may vary by location, our comprehensive offerings typically include:
- Health and Wellness: Medical, dental, and vision insurance plans for eligible employees and their dependents.
- Retirement Savings: 401(k) or equivalent retirement savings plans with potential employer matching.
- Paid Time Off: Generous vacation, sick leave, and holiday policies to support work-life balance.
- Flexible Work: Remote-friendly arrangements with the tools and resources needed to succeed from anywhere.
- Professional Development: Tuition assistance, learning stipends, and access to industry-leading training programs.
- Employee Discounts: Special pricing and offers on products and services available through careerzynith partnerships.
- Wellness Programs: Mental health support, fitness reimbursement, and resources to help you thrive personally and professionally.
- Career Advancement: Internal mobility programs, mentorship opportunities, and leadership development tracks.
Our Commitment to You
When you join careerzynith, you join a team that is reshaping how businesses harness the power of data. Your work will directly influence the strategies and outcomes of vendors, suppliers, and merchants around the world. You will be challenged, supported, and inspired to push the boundaries of what’s possible in data analytics and product intelligence.
We don’t just offer a job—we offer a career path. We don’t just provide data—we provide meaning. And we don’t just build products—we build the future of intelligent commerce.
How to Apply
If you are a passionate, analytical thinker who thrives on turning complex data into clear, actionable insights, we want to hear from you. Bring your skills, your curiosity, and your ambition to careerzynith, and help us unlock the next chapter of data-driven decision making.
Take the next step in your career. Apply today and become part of a team that is transforming the world of retail intelligence—one insight at a time.