Pluralsight
Data Quality Analyst
Pluralsight, Little Ferry, New Jersey, us, 07643
Job Description
The Enterprise Data Management & Governance team supports Pluralsight’s overall mission and objectives by way of ensuring the accuracy of customer data within Salesforce CRM. The Data Quality Analyst role is responsible for the management and fitness of critical customer data elements, including but not limited to firmographic and financial information. This role will apply processes to ensure Pluralsight’s customer database rigorously adheres to Data Governance policies and principles.
In this role, you will need to use your knowledge of data governance best practices, along with standard methodologies for data analysis, and analytics architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to analytics code via the utilization of version control, testing and validation processes, and continuous integration.
Who You’re Committed To Being
Love collaborating with data analytics engineers, data stewards and analysts to understand their needs
Eager to dive into data sources to understand availability, utility, and integrity of our data
Passionate about data, analytics and automation with experience cleaning and modeling large quantities of raw, disorganized data
Proactive, self-aware, and empathetic communicator
Creator of reproducible and extensible work
Appreciate being on a team that values and encourages diverse ideas, backgrounds, and strengths
Carefully consider the ethical and security implications of choices you make when using data, as well as the impact of your work on customers and colleagues
Respect and invite fair feedback while promoting the identification and open discussion of errors, risks, and unintended consequences
Deeply understand existing and new technology trends, and you work with partners to review and recommend innovative and efficient solutions
What You’ll Own
Developing queries to identify data inconsistencies and exceptions, as well as cleaning data
Performing statistical tests on large datasets to determine data quality and integrity.
Establishing key data quality metrics and developing dashboards that provide insights into data accuracy and integrity.
Reporting data analysis findings to the Data Governance team, allowing for data-driven decision making.
Improving observability in our data environment, including uptime, usage, data quality, and data freshness
Utilizing data cleansing tools and techniques to clean up data, ensuring that it adheres to quality standards; enriching data by appending missing information from trusted external sources, enhancing the value and accuracy of the data.
Modeling from an enterprise perspective rather than from a single business function perspective
Provide data modeling expertise through code reviews and training to help deliver optimal, DRY, and scalable database designs and queries
Process improvement via automation
Create and maintain documentation on processes, policies, application configuration and help-related materials as applications are developed
Experience You’ll Need
3+ years of taking a multidisciplinary approach to data development: we emphasize picking the right tool for the job
3+ years of demonstrable experience with data warehousing architecture and data modeling standard methodologies
Deep experience with a number of data tools: e.g. SQL, Fivetran, dbt, Snowflake, Hadoop, Python, AWS
Managed systems with sophisticated dependency management and orchestration requirements
Experience with orchestration and administration of EDW and Data application environments (e.g., Snowflake, Tableau, Fivetran, etc.)
Strong capability to manipulate and analyze complex, abundant data from various sources
Effective communication skills with technical team members as well as business partners. Able to distill complex ideas into straightforward language
Ability to tackle problems independently and prioritize work based on the anticipated business value
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the bottom of our website to learn how to request an accommodation.
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The Enterprise Data Management & Governance team supports Pluralsight’s overall mission and objectives by way of ensuring the accuracy of customer data within Salesforce CRM. The Data Quality Analyst role is responsible for the management and fitness of critical customer data elements, including but not limited to firmographic and financial information. This role will apply processes to ensure Pluralsight’s customer database rigorously adheres to Data Governance policies and principles.
In this role, you will need to use your knowledge of data governance best practices, along with standard methodologies for data analysis, and analytics architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to analytics code via the utilization of version control, testing and validation processes, and continuous integration.
Who You’re Committed To Being
Love collaborating with data analytics engineers, data stewards and analysts to understand their needs
Eager to dive into data sources to understand availability, utility, and integrity of our data
Passionate about data, analytics and automation with experience cleaning and modeling large quantities of raw, disorganized data
Proactive, self-aware, and empathetic communicator
Creator of reproducible and extensible work
Appreciate being on a team that values and encourages diverse ideas, backgrounds, and strengths
Carefully consider the ethical and security implications of choices you make when using data, as well as the impact of your work on customers and colleagues
Respect and invite fair feedback while promoting the identification and open discussion of errors, risks, and unintended consequences
Deeply understand existing and new technology trends, and you work with partners to review and recommend innovative and efficient solutions
What You’ll Own
Developing queries to identify data inconsistencies and exceptions, as well as cleaning data
Performing statistical tests on large datasets to determine data quality and integrity.
Establishing key data quality metrics and developing dashboards that provide insights into data accuracy and integrity.
Reporting data analysis findings to the Data Governance team, allowing for data-driven decision making.
Improving observability in our data environment, including uptime, usage, data quality, and data freshness
Utilizing data cleansing tools and techniques to clean up data, ensuring that it adheres to quality standards; enriching data by appending missing information from trusted external sources, enhancing the value and accuracy of the data.
Modeling from an enterprise perspective rather than from a single business function perspective
Provide data modeling expertise through code reviews and training to help deliver optimal, DRY, and scalable database designs and queries
Process improvement via automation
Create and maintain documentation on processes, policies, application configuration and help-related materials as applications are developed
Experience You’ll Need
3+ years of taking a multidisciplinary approach to data development: we emphasize picking the right tool for the job
3+ years of demonstrable experience with data warehousing architecture and data modeling standard methodologies
Deep experience with a number of data tools: e.g. SQL, Fivetran, dbt, Snowflake, Hadoop, Python, AWS
Managed systems with sophisticated dependency management and orchestration requirements
Experience with orchestration and administration of EDW and Data application environments (e.g., Snowflake, Tableau, Fivetran, etc.)
Strong capability to manipulate and analyze complex, abundant data from various sources
Effective communication skills with technical team members as well as business partners. Able to distill complex ideas into straightforward language
Ability to tackle problems independently and prioritize work based on the anticipated business value
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the bottom of our website to learn how to request an accommodation.
#J-18808-Ljbffr