Data Analyst
Role details
Job location
Tech stack
Job description
We are seeking a dynamic and detail-oriented Data Analyst to join our innovative team. In this role, you will harness your analytical expertise to transform complex data into actionable insights that drive strategic decision-making. Your passion for data analysis, combined with your proficiency in various tools and methodologies, will empower our organization to optimize processes, enhance business performance, and uncover new opportunities for growth. This paid position offers an exciting opportunity to work on impactful projects within a collaborative environment that values curiosity, precision, and continuous learning., * Collect, clean, and analyze large datasets using SQL, R, Python, and ETL tools such as Talend to ensure data accuracy and integrity.
- Develop and maintain interactive dashboards and reports with Tableau, Power BI, Looker, and other visualization tools to communicate insights effectively across teams.
- Design and implement database structures in Microsoft SQL Server and Oracle to support scalable data storage solutions.
- Collaborate with cross-functional teams following Agile methodologies to deliver timely project milestones aligned with the Software Development Life Cycle (SDLC).
- Conduct business analysis to identify data needs, define requirements, and translate them into technical specifications for database design and reporting solutions.
- Automate data workflows using scripting languages like Bash (Unix shell) and VBA to improve efficiency.
- Support data integration efforts through Linked Data techniques and ensure compliance with best practices in database design and management.
Requirements
Do you have experience in Data-driven problem-solving?, * Proven experience working as a Data Analyst or in a similar role with strong knowledge of SQL, analysis skills, and data visualization tools.
- Hands-on experience with Tableau, Power BI, Looker, or equivalent platforms for creating compelling dashboards.
- Familiarity with Agile project management practices and SDLC processes for delivering high-quality analytics solutions on schedule.
- Proficiency in programming languages such as R and Python for statistical analysis and automation tasks.
- Knowledge of ETL processes using tools like Talend or similar platforms for data extraction, transformation, and loading.
- Experience working with relational databases such as Microsoft SQL Server or Oracle; understanding of database design principles is a plus.
- Strong business analysis skills to interpret data requirements accurately and translate them into technical solutions effectively. Join us to leverage your analytical talents in a vibrant environment where your insights will shape strategic initiatives!