Experienced Full Stack Data Analyst – Customer Success at careerzynith
**Job Summary:**
Join careerzynith, a pioneering company in the automotive industry, as a seasoned Data Analyst – Customer Success. As a key member of our Customer Success Analytics team, you will leverage your technical expertise to drive business growth, enhance customer satisfaction, and contribute to the development of our cutting-edge machine learning platform. This is a full-time, remote opportunity that offers a unique blend of technical challenges, professional growth, and a dynamic work environment.
**About careerzynith:**
careerzynith is revolutionizing the automotive industry by empowering connected vehicle makers to build safer, more intelligent, and personalized vehicles. Our end-to-end machine learning platform increases the accessibility and actionability of connected vehicle data for automakers and their partners and end-customers. As a diverse and motivated team, we are committed to solving the hardest problems in the automotive industry.
**Key Responsibilities:**
As a Data Analyst – Customer Success at careerzynith, your primary responsibilities will include:
* Providing technical support to Engagement Managers, answering analytics questions, and improving the code base
* Analyzing data to discover trends, root causes, anomalies, and other concerns to drive value for customers
* Validating customer concerns and developing solutions, responses, or recommendations
* Maintaining and improving data pipelines written in Python, ideally with experience using the Kedro framework
* Developing, monitoring, and iterating on production ML models (Machine Learning) as a plus and a huge differentiator
* Working with large amounts of data by writing and editing SQL queries
* Experience with time series data analysis on large amounts of data
* Automotive or telematics data experience a plus
**Security and Privacy Responsibilities:**
As a Data Analyst – Customer Success at careerzynith, you will be responsible for:
* Following our policy and procedure documents related to security and privacy
* Following the guidelines in the Employee Handbook
* Following the OWASP Top 10 guidelines when implementing and reviewing code
* Participating in new hire and annual training for security and privacy
* Treating data security and privacy as one of your primary job responsibilities
* Reporting Security Incidents you discover as bugs
* Getting approval from the Security Team before adding new 3rd party software to our codebase
* Explicitly considering security implications when doing PR reviews
**Expertise and Skills:**
To succeed in this role, you will need:
* 3-6 years of experience working as a full-time data analyst
* Proficiency in Python
* Comfortable exploring and answering questions with data and SQL
* Ability to analyze data, answer questions, and summarize results
* Experience owning a project from design to implementation
* Build analytic dashboards to help customers understand their data
* Experience with developing, monitoring, and iterating on production ML models (Machine Learning) a plus
* Automotive or telematics data experience a plus
**Onboarding and Career Growth:**
As a new member of our team, you will undergo a comprehensive onboarding process that includes:
* Learning about careerzynith's history and mission
* Getting to know every team member
* Understanding careerzynith's system architecture
* Deep dive into the nuances of vehicle data
* Attending our weekly company-wide meeting and engineering tech talk
As you progress in your role, you will have opportunities to:
* Understand the product roadmap and the pain-points of our customers
* Contribute new features to the product
* Refactor code, improve test coverage, or automate a manual process during an engineering hack day
* Be familiar with the day-to-day workflow of your peers
* Develop rapport with the customers that you support
**Work Environment and Company Culture:**
careerzynith offers a dynamic and inclusive work environment that values collaboration, innovation, and continuous learning. As a remote team member, you will have the flexibility to work from anywhere while being part of a global community. Our company culture is built on a foundation of trust, respect, and open communication, and we are committed to creating a workplace that is diverse, equitable, and inclusive.
**Compensation and Benefits:**
careerzynith offers a competitive compensation package that includes:
* A salary that reflects your experience and qualifications
* Comprehensive health insurance
* Retirement savings plan
* Paid time off and holidays
* Professional development opportunities
* Flexible work arrangements
**How to Apply:**
If you are a motivated and experienced data analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
**Equal Employment Opportunity:**
careerzynith is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all individuals, regardless of their background, culture, or identity.
Apply for this job
Join careerzynith, a pioneering company in the automotive industry, as a seasoned Data Analyst – Customer Success. As a key member of our Customer Success Analytics team, you will leverage your technical expertise to drive business growth, enhance customer satisfaction, and contribute to the development of our cutting-edge machine learning platform. This is a full-time, remote opportunity that offers a unique blend of technical challenges, professional growth, and a dynamic work environment.
**About careerzynith:**
careerzynith is revolutionizing the automotive industry by empowering connected vehicle makers to build safer, more intelligent, and personalized vehicles. Our end-to-end machine learning platform increases the accessibility and actionability of connected vehicle data for automakers and their partners and end-customers. As a diverse and motivated team, we are committed to solving the hardest problems in the automotive industry.
**Key Responsibilities:**
As a Data Analyst – Customer Success at careerzynith, your primary responsibilities will include:
* Providing technical support to Engagement Managers, answering analytics questions, and improving the code base
* Analyzing data to discover trends, root causes, anomalies, and other concerns to drive value for customers
* Validating customer concerns and developing solutions, responses, or recommendations
* Maintaining and improving data pipelines written in Python, ideally with experience using the Kedro framework
* Developing, monitoring, and iterating on production ML models (Machine Learning) as a plus and a huge differentiator
* Working with large amounts of data by writing and editing SQL queries
* Experience with time series data analysis on large amounts of data
* Automotive or telematics data experience a plus
**Security and Privacy Responsibilities:**
As a Data Analyst – Customer Success at careerzynith, you will be responsible for:
* Following our policy and procedure documents related to security and privacy
* Following the guidelines in the Employee Handbook
* Following the OWASP Top 10 guidelines when implementing and reviewing code
* Participating in new hire and annual training for security and privacy
* Treating data security and privacy as one of your primary job responsibilities
* Reporting Security Incidents you discover as bugs
* Getting approval from the Security Team before adding new 3rd party software to our codebase
* Explicitly considering security implications when doing PR reviews
**Expertise and Skills:**
To succeed in this role, you will need:
* 3-6 years of experience working as a full-time data analyst
* Proficiency in Python
* Comfortable exploring and answering questions with data and SQL
* Ability to analyze data, answer questions, and summarize results
* Experience owning a project from design to implementation
* Build analytic dashboards to help customers understand their data
* Experience with developing, monitoring, and iterating on production ML models (Machine Learning) a plus
* Automotive or telematics data experience a plus
**Onboarding and Career Growth:**
As a new member of our team, you will undergo a comprehensive onboarding process that includes:
* Learning about careerzynith's history and mission
* Getting to know every team member
* Understanding careerzynith's system architecture
* Deep dive into the nuances of vehicle data
* Attending our weekly company-wide meeting and engineering tech talk
As you progress in your role, you will have opportunities to:
* Understand the product roadmap and the pain-points of our customers
* Contribute new features to the product
* Refactor code, improve test coverage, or automate a manual process during an engineering hack day
* Be familiar with the day-to-day workflow of your peers
* Develop rapport with the customers that you support
**Work Environment and Company Culture:**
careerzynith offers a dynamic and inclusive work environment that values collaboration, innovation, and continuous learning. As a remote team member, you will have the flexibility to work from anywhere while being part of a global community. Our company culture is built on a foundation of trust, respect, and open communication, and we are committed to creating a workplace that is diverse, equitable, and inclusive.
**Compensation and Benefits:**
careerzynith offers a competitive compensation package that includes:
* A salary that reflects your experience and qualifications
* Comprehensive health insurance
* Retirement savings plan
* Paid time off and holidays
* Professional development opportunities
* Flexible work arrangements
**How to Apply:**
If you are a motivated and experienced data analyst looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
**Equal Employment Opportunity:**
careerzynith is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all individuals, regardless of their background, culture, or identity.
Apply for this job