Analytics Engineer
Autodesk
Analytics Engineer
Job Description
Analytics Engineer
📋 Job Overview
The Analytics Engineer at Autodesk plays a pivotal role in leveraging data to drive business insights and innovation across multiple locations. This position involves designing scalable data pipelines, performing advanced analytics, and collaborating with cross-functional teams to support data-driven decision-making. Ideal candidates will contribute to Autodesk's mission by transforming complex datasets into actionable strategies for product and customer analytics.
📍 Location: 5 Locations, 5 Locations
📅 Posted: Posted Yesterday
🎯 Key Responsibilities
- Design and implement scalable data pipelines for analytics workloads
- Develop and maintain data models to support business reporting and insights
- Collaborate with data scientists and product teams to define metrics and KPIs
- Perform data quality assessments and optimization of queries for performance
- Contribute to the evolution of Autodesk's data infrastructure and analytics platforms
✅ Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- 3+ years of experience in data engineering or analytics roles
- Proficiency in SQL and Python for data manipulation and analysis
- Experience with cloud platforms such as AWS, Azure, or GCP
- Strong understanding of data warehousing and ETL processes
⭐ Preferred Qualifications
- Master's degree in a quantitative field
- Experience with big data technologies like Spark or Hadoop
- Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn)
- Prior work in SaaS or software industry analytics
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
🛠️ Required Skills
- SQL
- Python
- Data modeling
- ETL tools (e.g., Apache Airflow)
- Cloud computing (AWS, Azure, GCP)
- Big data technologies (Spark, Hadoop)
- Analytics and visualization tools (Tableau, Power BI)
- Problem-solving and communication skills
- Collaboration in agile environments
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement savings plans
- Flexible work arrangements including remote options
- Professional development opportunities and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 5 Locations, 5 Locations
Salary
Skills Required
- SQLintermediate
- Pythonintermediate
- Data modelingintermediate
- ETL tools (e.g., Apache Airflow)intermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Big data technologies (Spark, Hadoop)intermediate
- Analytics and visualization tools (Tableau, Power BI)intermediate
- Problem-solving and communication skillsintermediate
- Collaboration in agile environmentsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (experience)
- 3+ years of experience in data engineering or analytics roles (experience)
- Proficiency in SQL and Python for data manipulation and analysis (experience)
- Experience with cloud platforms such as AWS, Azure, or GCP (experience)
- Strong understanding of data warehousing and ETL processes (experience)
Preferred Qualifications
- Master's degree in a quantitative field (experience)
- Experience with big data technologies like Spark or Hadoop (experience)
- Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn) (experience)
- Prior work in SaaS or software industry analytics (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
Responsibilities
- Design and implement scalable data pipelines for analytics workloads
- Develop and maintain data models to support business reporting and insights
- Collaborate with data scientists and product teams to define metrics and KPIs
- Perform data quality assessments and optimization of queries for performance
- Contribute to the evolution of Autodesk's data infrastructure and analytics platforms
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plans
- general: Flexible work arrangements including remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Analytics Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Analytics Engineer
Autodesk
Analytics Engineer
Job Description
Analytics Engineer
📋 Job Overview
The Analytics Engineer at Autodesk plays a pivotal role in leveraging data to drive business insights and innovation across multiple locations. This position involves designing scalable data pipelines, performing advanced analytics, and collaborating with cross-functional teams to support data-driven decision-making. Ideal candidates will contribute to Autodesk's mission by transforming complex datasets into actionable strategies for product and customer analytics.
📍 Location: 5 Locations, 5 Locations
📅 Posted: Posted Yesterday
🎯 Key Responsibilities
- Design and implement scalable data pipelines for analytics workloads
- Develop and maintain data models to support business reporting and insights
- Collaborate with data scientists and product teams to define metrics and KPIs
- Perform data quality assessments and optimization of queries for performance
- Contribute to the evolution of Autodesk's data infrastructure and analytics platforms
✅ Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- 3+ years of experience in data engineering or analytics roles
- Proficiency in SQL and Python for data manipulation and analysis
- Experience with cloud platforms such as AWS, Azure, or GCP
- Strong understanding of data warehousing and ETL processes
⭐ Preferred Qualifications
- Master's degree in a quantitative field
- Experience with big data technologies like Spark or Hadoop
- Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn)
- Prior work in SaaS or software industry analytics
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
🛠️ Required Skills
- SQL
- Python
- Data modeling
- ETL tools (e.g., Apache Airflow)
- Cloud computing (AWS, Azure, GCP)
- Big data technologies (Spark, Hadoop)
- Analytics and visualization tools (Tableau, Power BI)
- Problem-solving and communication skills
- Collaboration in agile environments
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement savings plans
- Flexible work arrangements including remote options
- Professional development opportunities and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 5 Locations, 5 Locations
Salary
Skills Required
- SQLintermediate
- Pythonintermediate
- Data modelingintermediate
- ETL tools (e.g., Apache Airflow)intermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Big data technologies (Spark, Hadoop)intermediate
- Analytics and visualization tools (Tableau, Power BI)intermediate
- Problem-solving and communication skillsintermediate
- Collaboration in agile environmentsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (experience)
- 3+ years of experience in data engineering or analytics roles (experience)
- Proficiency in SQL and Python for data manipulation and analysis (experience)
- Experience with cloud platforms such as AWS, Azure, or GCP (experience)
- Strong understanding of data warehousing and ETL processes (experience)
Preferred Qualifications
- Master's degree in a quantitative field (experience)
- Experience with big data technologies like Spark or Hadoop (experience)
- Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn) (experience)
- Prior work in SaaS or software industry analytics (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
Responsibilities
- Design and implement scalable data pipelines for analytics workloads
- Develop and maintain data models to support business reporting and insights
- Collaborate with data scientists and product teams to define metrics and KPIs
- Perform data quality assessments and optimization of queries for performance
- Contribute to the evolution of Autodesk's data infrastructure and analytics platforms
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plans
- general: Flexible work arrangements including remote options
- general: Professional development opportunities and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Analytics Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs