About the position
Demandbase is seeking a creative and highly motivated data analyst with expertise in translating complex business challenges into actionable data solutions. The role involves analyzing and reporting metrics using analytical and statistical skills, as well as owning and improving the quality, accuracy, and relevance of data. The data analyst will work alongside a team of data engineers and research analysts to evaluate data and implement smarter techniques to validate, analyze, and improve data quality. This is an opportunity to work in a fast-paced agile environment and push data quality to new levels.
Responsibilities
- Use analytical and statistical skills like SQL, R, Python, and Automation tools to analyze data and report metrics
- Own, assess, and improve the quality, accuracy, and relevance of data
- Find errors with analysis that cannot be easily found by hand
- Identify and escalate areas for improvement and best practices
- Work towards smart and intelligent algorithms for features with data input
- Participate in the design, implementation, and review of content modeling, conversion, and use
- Investigate and facilitate resolution of data issues
- Provide impact assessment to support prioritization of fixes and enhancements
- Actively listen and grow ideas
- Learn new technologies, software, and concepts quickly
- Communicate effectively with excellent written and verbal communication skills
- Work effectively with others in small, high-performance teams
- Strong in editorial analysis and quality assurance with good business acumen
- Understand extraction and purification of data
- Possess automation skills and certifications
- Have a basic understanding of software/Agile development methodology
- Experience in statistical analysis of data
- 1-4 years of experience in data querying, manipulation, and analysis
- Experience with SQL and working on databases
- Hands-on experience working with large data sets, data visualization, data mining, and data cleansing/transformation
Requirements
- Strong analytical and statistical skills, including proficiency in SQL, R, Python, and automation tools
- Ability to analyze data, report metrics, and identify errors or areas for improvement
- Experience in content modeling, conversion, and use
- Excellent written and verbal communication skills
- Active listener with the ability to generate and grow ideas
- Quick learner with the ability to adapt to new technologies and concepts
- Good understanding of data extraction and purification
- Automation skills and certifications
- Basic understanding of software/Agile development methodology
- Experience in statistical analysis of data
- 1-4 years of experience in data querying, manipulation, and analysis
- Experience with SQL and working on databases
- Hands-on experience with large data sets, data visualization, data mining, and data cleansing/transformation
Benefits
- Opportunity to work with enormous datasets containing millions of records
- Work alongside a great team of data engineers and research analysts
- Analyze data and report metrics using analytical and statistical skills like SQL, R, Python, and Automation tools
- Own, assess, and improve quality, accuracy, and relevance of data
- Identify and escalate areas for improvement and best practice
- Work towards smart and intelligent algorithms for features with a data input
- Participate in the design, implementation, and review of content modeling, conversion, and use
- Investigate and facilitate resolution of data issues
- Opportunity to learn new technologies, software, and concepts quickly
- Excellent written and verbal communication skills
- Ability to work effectively with others in small, high-performance teams
- Strong editorial analysis and quality assurance skills with good business acumen
- Automation skills and certifications
- Basic understanding of software/Agile development methodology
- Experience in statistical analysis of data
- Hands-on experience working with large datasets, data visualization, data mining, and data cleansing/transformation
- Experience in using tools like SAS, R, Excel Advanced toolkit
- Excellent problem-solving and analytical skills with attention to detail
- Equal opportunity for all regardless of gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status