What are the responsibilities and job description for the Senior Data Analyst position at PT Solutions?
The Senior Data Analyst serves as a technical expert and project leader, managing complex analysis initiatives and mentoring junior team members. This role requires deep technical expertise, the ability to design and implement advanced analytics solutions, and collaboration across departments to drive data-driven decision-making. The Senior Data Analyst is also responsible for ensuring data accuracy, governance, and scalability while aligning data strategies with organizational goals.
Essential Functions
- Lead and execute complex data analysis projects, providing actionable insights for business decision-making.
- Design and optimize advanced SQL queries, data pipelines, and data models to streamline data processes.
- Develop and implement scalable reporting solutions and dashboards using enterprise BI tools (., Power BI, ThoughtSpot).
- Mentor junior analysts by providing technical guidance, code reviews, and training on best practices in SQL, BI development, and project management.
- Inspire team members by modeling best practices and fostering a culture of excellence.
- Collaborate with cross-functional teams to define data requirements and design technical solutions that align with organizational goals.
- Facilitate and lead discussions with stakeholders, translating business needs into technical specifications.
- Regularly present insights, strategies, and recommendations to leadership in a clear and actionable manner.
- Drive best practices in data governance, ensuring accuracy, consistency, and adherence to organizational standards.
- Troubleshoot and resolve data-related issues proactively, identifying risks and implementing mitigation strategies.
- Document complex data models and processes to support knowledge sharing and long-term scalability.
- Develop technical specifications for data warehouse development, ETL / ELT processes, and system integrations.
- Leverage cloud platforms (., Azure, AWS, Snowflake) and modern data architectures to improve data accessibility and infrastructure.
- Explore and implement innovative analytics tools and methodologies (., R, Python, dbt) to enhance data capabilities.
Required Skills & Abilities
Preferred Qualifications
