Analytics Development (Production Support) Job Description Template
The Analytics Development (Production Support) role is responsible for maintaining and enhancing analytics systems in production. This role focuses on ensuring the stability, performance, and reliability of data-driven solutions. The candidate will work closely with development teams, end-users, and other stakeholders to resolve issues and improve analytics capabilities.
Responsibilities
- Monitor and support analytics systems in production environments.
- Troubleshoot and resolve technical issues related to analytics tools and data pipelines.
- Collaborate with development teams to implement system improvements and updates.
- Maintain documentation for support processes and system configurations.
- Conduct root cause analysis for recurring issues and develop long-term solutions.
- Assist in deploying new analytics features and updates to production systems.
- Evaluate system performance and provide recommendations for optimization.
- Communicate effectively with stakeholders to understand and address their needs.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in analytics development and production support.
- Strong understanding of data analytics tools and technologies.
- Experience with troubleshooting and resolving technical issues in production environments.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.
Skills
- Python
- SQL
- ETL processes
- Data visualization tools (e.g., Tableau, Power BI)
- Big Data technologies (e.g., Hadoop, Spark)
- Data warehousing (e.g., Snowflake, Redshift)
- Scripting and automation
- Incident management tools (e.g., ServiceNow)
Frequently Asked Questions
An Analytics Development (Production Support) professional is responsible for maintaining and enhancing analytics systems to ensure optimal performance. They troubleshoot issues, implement fixes, and collaborate with data analysts to enhance reporting capabilities. Their role involves routine monitoring of systems for performance and security issues, and ensuring data integrity across analytics platforms.
To become an Analytics Development (Production Support) specialist, individuals should have a strong foundation in computer science or related fields, experience with data analytics tools, and proficiency in programming languages like SQL or Python. Gaining experience through relevant internships or entry-level roles and obtaining certifications in data analytics or cloud computing platforms can be advantageous.
The average salary for an Analytics Development (Production Support) role varies based on factors such as experience, location, and the specific industry. Generally, professionals in this field can expect a competitive salary package, often enhanced by additional benefits and performance-based incentives. Salaries can increase significantly with experience and specialized skills.
Qualifications for an Analytics Development (Production Support) position typically include a bachelor's degree in computer science, information technology, or a related field. Knowledge of data analytics, proficiency in analytics tools (such as Tableau, Power BI), and experience with databases and scripting languages are critical. Certifications in analytics or specific technologies can also enhance job prospects.
Successful Analytics Development (Production Support) professionals possess analytical skills, problem-solving abilities, and technical proficiency in database management and analytics tools. They are responsible for system monitoring, troubleshooting, and implementing improvements. Strong communication skills are crucial for collaborating with cross-functional teams to ensure data-driven decision-making processes.