Experienced Customer Data Analyst – Unlocking Insights for careerzynith's Professional Services
At careerzynith, we're a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of our complementary datasets. Our team is a group of passionate individuals who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you're using our data and insights to advance our mission of better connectivity for all.
We're seeking an experienced Customer Data Analyst to join our Professional Services team. As a key member of our team, you'll play a critical role in transforming raw customer data into actionable insights. Your analysis will directly inform strategic decisions, optimize our service offerings, enhance customer experience, and contribute to the overall success of our customers and the Professional Services organization.
**About careerzynith**
careerzynith is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of our complementary datasets. Our mission is to advance the mission of better connectivity for all. We're a team of passionate individuals who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products.
**Role Summary**
As a Customer Data Analyst within our Professional Services team, you'll be responsible for collecting, cleaning, analyzing, and interpreting data related to customer engagements, service delivery, product adoption, and overall customer health. Your analysis will directly inform strategic decisions, optimize our service offerings, enhance customer experience, and contribute to the overall success of our customers and the Professional Services organization.
**Responsibilities**
* **Data Collection and Management**
+ Identify and gather relevant customer data from various sources, including CRM systems (e.g., Salesforce, Dynamics 365), project management tools (e.g., Jira, Asana), customer success platforms (e.g., Gainsight, ChurnZero), support ticketing systems (e.g., Zendesk, ServiceNow), and other relevant databases.
+ Ensure data accuracy, integrity, and consistency through data cleaning, validation, and transformation processes.
+ Develop and maintain data pipelines and data models to facilitate efficient data retrieval and analysis.
* **Data Analysis and Interpretation**
+ Conduct exploratory data analysis to identify trends, patterns, and correlations related to customer behavior, service utilization, project outcomes, and customer satisfaction.
+ Develop and apply statistical techniques and data visualization methods to extract meaningful insights from complex datasets.
+ Analyze key performance indicators (KPIs) relevant to Professional Services, such as project profitability, service delivery efficiency, customer adoption rates, time-to-value, and customer retention.
+ Identify opportunities for process improvement, service optimization, and enhanced customer engagement based on data analysis.
* **Reporting and Communication**
+ Design and generate regular and ad-hoc reports and dashboards that effectively communicate key findings and insights to stakeholders across the Professional Services organization.
+ Present data-driven recommendations and actionable insights to Professional Services leadership and team members in a clear and concise manner.
+ Collaborate with stakeholders to define reporting requirements and ensure that reports meet their specific needs.
+ Develop and maintain documentation for data sources, methodologies, and reporting processes.
* **Collaboration and Support**
+ Partner with Professional Services leadership to define data-driven strategies and objectives.
+ Support project teams and consultants with data analysis to inform project planning, execution, and risk mitigation.
+ Work closely with Customer Project Managers to identify at-risk customers and opportunities for proactive engagement based on data insights.
+ Contribute to the development of data literacy within the Professional Services team.
**Qualifications**
* **Essential Qualifications**
+ Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
+ 5 - 10 years of experience in a data analysis role, preferably within a Professional Services, SaaS, or technology-focused organization.
+ Proven ability to collect, clean, analyze, and interpret complex datasets from various sources.
+ Strong proficiency in data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy, Matplotlib, Seaborn), and data visualization tools (e.g., Tableau, Power BI, Heavy.ai).
+ Experience working with CRM systems (e.g., Salesforce), customer success platforms (e.g., Gainsight, ChurnZero), and other relevant business applications.
+ Solid understanding of statistical concepts and methodologies.
+ Excellent communication and presentation skills, with the ability to effectively convey technical findings to both technical and non-technical audiences.
+ Strong problem-solving and critical-thinking skills with a keen attention to detail.
+ Ability to work independently and collaboratively in a fast-paced environment.
* **Preferred Qualifications**
+ Experience with data warehousing concepts and technologies.
+ Familiarity with machine learning techniques and their application to business problems.
+ Experience building and maintaining data pipelines using ETL tools.
+ Certifications in relevant data analysis or business intelligence tools.
**Benefits**
We care deeply about each other and the work we do, and our perks are just one way we demonstrate this. We offer a comprehensive benefits package, including (but not limited to):
* 401(k) matching
* Unlimited PTO
* Employee Stock Purchase Plan options
* Health/dental/vision insurance coverage
* Wellness benefits (Calm app, gym reimbursement, ERG groups, etc)
* Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more)
* Fertility options
* Pregnancy support
* Pet insurance
* Enhanced parental leave
* Disability coverage
**Compensation**
As required by applicable Pay Transparency laws, careerzynith provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job-related knowledge, skills, experience, and geographic location. Some roles may include a target bonus or sales commission plan based on level of role. The base pay for this position ranges from $100,000/year up to $130,000/year in base salary.
**Why Join careerzynith?**
We're a team of passionate individuals who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you're using our data and insights to advance our mission of better connectivity for all. We're committed to building an inclusive workforce at all levels of the company and believe that diversity of all kinds makes us better.
**How to Apply**
If you're passionate about joining the work we're doing, we welcome your application and encourage applicants with both traditional and non-traditional experience that makes them an excellent candidate for the role. Please submit your resume and a cover letter explaining why you're the perfect fit for this role.
Apply for this job
We're seeking an experienced Customer Data Analyst to join our Professional Services team. As a key member of our team, you'll play a critical role in transforming raw customer data into actionable insights. Your analysis will directly inform strategic decisions, optimize our service offerings, enhance customer experience, and contribute to the overall success of our customers and the Professional Services organization.
**About careerzynith**
careerzynith is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of our complementary datasets. Our mission is to advance the mission of better connectivity for all. We're a team of passionate individuals who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products.
**Role Summary**
As a Customer Data Analyst within our Professional Services team, you'll be responsible for collecting, cleaning, analyzing, and interpreting data related to customer engagements, service delivery, product adoption, and overall customer health. Your analysis will directly inform strategic decisions, optimize our service offerings, enhance customer experience, and contribute to the overall success of our customers and the Professional Services organization.
**Responsibilities**
* **Data Collection and Management**
+ Identify and gather relevant customer data from various sources, including CRM systems (e.g., Salesforce, Dynamics 365), project management tools (e.g., Jira, Asana), customer success platforms (e.g., Gainsight, ChurnZero), support ticketing systems (e.g., Zendesk, ServiceNow), and other relevant databases.
+ Ensure data accuracy, integrity, and consistency through data cleaning, validation, and transformation processes.
+ Develop and maintain data pipelines and data models to facilitate efficient data retrieval and analysis.
* **Data Analysis and Interpretation**
+ Conduct exploratory data analysis to identify trends, patterns, and correlations related to customer behavior, service utilization, project outcomes, and customer satisfaction.
+ Develop and apply statistical techniques and data visualization methods to extract meaningful insights from complex datasets.
+ Analyze key performance indicators (KPIs) relevant to Professional Services, such as project profitability, service delivery efficiency, customer adoption rates, time-to-value, and customer retention.
+ Identify opportunities for process improvement, service optimization, and enhanced customer engagement based on data analysis.
* **Reporting and Communication**
+ Design and generate regular and ad-hoc reports and dashboards that effectively communicate key findings and insights to stakeholders across the Professional Services organization.
+ Present data-driven recommendations and actionable insights to Professional Services leadership and team members in a clear and concise manner.
+ Collaborate with stakeholders to define reporting requirements and ensure that reports meet their specific needs.
+ Develop and maintain documentation for data sources, methodologies, and reporting processes.
* **Collaboration and Support**
+ Partner with Professional Services leadership to define data-driven strategies and objectives.
+ Support project teams and consultants with data analysis to inform project planning, execution, and risk mitigation.
+ Work closely with Customer Project Managers to identify at-risk customers and opportunities for proactive engagement based on data insights.
+ Contribute to the development of data literacy within the Professional Services team.
**Qualifications**
* **Essential Qualifications**
+ Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
+ 5 - 10 years of experience in a data analysis role, preferably within a Professional Services, SaaS, or technology-focused organization.
+ Proven ability to collect, clean, analyze, and interpret complex datasets from various sources.
+ Strong proficiency in data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy, Matplotlib, Seaborn), and data visualization tools (e.g., Tableau, Power BI, Heavy.ai).
+ Experience working with CRM systems (e.g., Salesforce), customer success platforms (e.g., Gainsight, ChurnZero), and other relevant business applications.
+ Solid understanding of statistical concepts and methodologies.
+ Excellent communication and presentation skills, with the ability to effectively convey technical findings to both technical and non-technical audiences.
+ Strong problem-solving and critical-thinking skills with a keen attention to detail.
+ Ability to work independently and collaboratively in a fast-paced environment.
* **Preferred Qualifications**
+ Experience with data warehousing concepts and technologies.
+ Familiarity with machine learning techniques and their application to business problems.
+ Experience building and maintaining data pipelines using ETL tools.
+ Certifications in relevant data analysis or business intelligence tools.
**Benefits**
We care deeply about each other and the work we do, and our perks are just one way we demonstrate this. We offer a comprehensive benefits package, including (but not limited to):
* 401(k) matching
* Unlimited PTO
* Employee Stock Purchase Plan options
* Health/dental/vision insurance coverage
* Wellness benefits (Calm app, gym reimbursement, ERG groups, etc)
* Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more)
* Fertility options
* Pregnancy support
* Pet insurance
* Enhanced parental leave
* Disability coverage
**Compensation**
As required by applicable Pay Transparency laws, careerzynith provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job-related knowledge, skills, experience, and geographic location. Some roles may include a target bonus or sales commission plan based on level of role. The base pay for this position ranges from $100,000/year up to $130,000/year in base salary.
**Why Join careerzynith?**
We're a team of passionate individuals who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you're using our data and insights to advance our mission of better connectivity for all. We're committed to building an inclusive workforce at all levels of the company and believe that diversity of all kinds makes us better.
**How to Apply**
If you're passionate about joining the work we're doing, we welcome your application and encourage applicants with both traditional and non-traditional experience that makes them an excellent candidate for the role. Please submit your resume and a cover letter explaining why you're the perfect fit for this role.
Apply for this job