About careerzynith
careerzynith is at the forefront of the connected‑vehicle revolution, building an end‑to‑end machine learning platform that enables automotive manufacturers and their ecosystem partners to create safer, smarter, and more personalized driving experiences. Our technology transforms raw telemetry and telematics streams into actionable insights, empowering engineers, product teams, and end‑customers alike. With a globally distributed, diverse team, careerzynith tackles the most challenging problems in the automotive and mobility sectors, from predictive maintenance to driver behavior analytics. We pride ourselves on a culture of curiosity, collaboration, and relentless innovation, where every employee has the opportunity to shape the future of transportation.
Why This Role Matters
As a Data Analyst – Customer Success you will be the analytical bridge between careerzynith’s cutting‑edge platform and the customers who rely on it to drive business outcomes. You will partner closely with Engagement Managers, product engineers, and external stakeholders to translate complex vehicle data into clear, actionable recommendations. Your work will directly influence how our clients understand their fleets, improve operational efficiency, and deliver superior experiences to drivers.
Key Responsibilities
- End‑to‑End Project Ownership: Lead analytics projects from initial design through implementation, ensuring timely delivery and measurable impact.
- Data Exploration & Insight Generation: Dive deep into large‑scale time‑series and telematics datasets, uncovering trends, anomalies, and root causes that matter to customers.
- Dashboard Development: Build and maintain intuitive, self‑service dashboards that enable clients to monitor key performance indicators and make data‑driven decisions.
- SQL & Python Engineering: Write, optimize, and refactor complex SQL queries and Python scripts to extract, transform, and load data efficiently.
- Pipeline Maintenance: Enhance data pipelines using Python, with a preference for experience in the Kedro framework, to ensure reliability and scalability.
- Customer Interaction: Act as a trusted analytics advisor, validating customer concerns, crafting tailored solutions, and presenting findings in clear, business‑focused language.
- Collaboration with Engineering: Partner with software engineers to improve code quality, increase test coverage, and automate repetitive tasks during hack days.
- Security & Privacy Stewardship: Adhere to careerzynith’s security policies, OWASP Top 10 guidelines, and privacy procedures; report incidents and seek security team approval for third‑party integrations.
- Continuous Learning & Knowledge Sharing: Contribute to internal tech talks, mentor new hires, and help shape recruiting initiatives to attract top talent.
Essential Qualifications
- 3–6 years of professional experience as a full‑time data analyst or equivalent analytical role.
- Demonstrated ability to own analytics projects from concept to delivery, including stakeholder management.
- Proficiency in Python for data manipulation, statistical analysis, and pipeline development.
- Strong command of SQL, with experience writing performant queries against large, time‑series datasets.
- Track record of building production‑grade dashboards (e.g., Tableau, Power BI, Looker) that drive customer adoption.
- Experience analyzing telematics or automotive data is a plus, though not mandatory.
- Familiarity with machine learning model monitoring and iteration is highly desirable.
- Excellent communication skills, with the ability to translate technical findings into business value for non‑technical audiences.
Preferred Qualifications & Additional Skills
- Hands‑on experience with the Kedro data‑pipeline framework or similar orchestration tools.
- Background in statistical modeling, forecasting, or anomaly detection on high‑volume sensor data.
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for scalable analytics.
- Understanding of data security best practices, including OWASP guidelines and GDPR/CCPA compliance.
- Prior work in a remote, globally distributed team across APAC, EMEA, or LATAM time zones.
- Passion for the automotive industry and a curiosity about emerging mobility trends.
Core Competencies for Success
- Analytical Rigor: Ability to dissect complex datasets, identify patterns, and draw evidence‑based conclusions.
- Customer‑Centric Mindset: Proactive in understanding client goals, anticipating needs, and delivering insights that drive tangible outcomes.
- Collaboration & Influence: Comfortable working with cross‑functional teams, influencing decisions, and championing data‑driven culture.
- Adaptability: Thrive in a fast‑moving environment, quickly learning new domains (e.g., vehicle telematics) and adjusting priorities.
- Security Awareness: Treat data privacy and security as integral to every analytical task, following careerzynith’s rigorous standards.
Career Growth & Learning Opportunities
careerzynith invests heavily in professional development. As a Data Analyst on the Customer Success team, you will have access to:
- Mentorship from senior data scientists and product leaders.
- Quarterly learning budgets for conferences, certifications, or online courses.
- Opportunities to transition into advanced analytics, machine learning engineering, or product management roles.
- Leadership pathways that include leading analytics squads, shaping product strategy, or heading regional customer success initiatives.
Work Environment & Culture
Our remote‑first philosophy means you can work from anywhere within the APAC, EMEA, or Central/South America regions while staying tightly connected to the global team. careerzynith fosters an inclusive culture where diverse perspectives are celebrated. Regular virtual coffee chats, team‑wide town halls, and engineering tech talks keep everyone aligned and inspired. We value work‑life balance, offering flexible hours, generous vacation policies, and a supportive environment that encourages personal well‑being.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that includes:
- Base salary aligned with market benchmarks for senior data analysts.
- Performance‑based bonuses tied to project impact and customer satisfaction.
- Equity participation, giving you a stake in the company’s long‑term success.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plans with employer matching contributions.
- Home‑office stipend, ergonomic equipment allowance, and high‑speed internet subsidies.
- Generous paid time off, parental leave, and wellness programs.
- Continuous learning budget and access to premium learning platforms.
Typical Onboarding Journey
Day 5 – Getting Oriented
Welcome to careerzynith! You’ll explore our company history, meet teammates across product, engineering, and success, and dive into the architecture that powers our vehicle data platform. A series of introductory tech talks will give you a solid grounding in the nuances of connected‑vehicle data.
Day 30 – Building Momentum
By the end of your first month, you’ll understand the product roadmap, start contributing new analytical features, and participate in an engineering hack day to refactor code or automate a manual workflow. You’ll also begin forming strong relationships with the customers you’ll support.
Day 90 – Delivering Impact
Three months in, you’ll be actively supporting customers, refining onboarding processes for future hires, and presenting your achievements at a company‑wide meeting. You’ll also join recruiting efforts, helping to attract the next generation of talent to careerzynith.
How to Apply
If you are excited about turning massive streams of vehicle data into meaningful business outcomes and thrive in a collaborative, remote‑first environment, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.
Apply Now – Data Analyst – Customer Success at careerzynith
Join careerzynith and Drive the Future of Mobility
At careerzynith, your analytical expertise will directly influence how the world’s leading automotive brands innovate and deliver value to their customers. We’re looking for passionate, data‑savvy professionals who are eager to grow, learn, and make a lasting impact. Take the next step in your career and become part of a visionary team that’s redefining transportation.