Senior Data Analyst

Responsibilities:

Provide strategic thinking and leadership pertaining to new ways of leveraging information to improve business processes. Must be strong in guiding business leaders through strategic thinking processes and change.
Develop complex data analysis, methodologies, and predictive data models.
Using tools and libraries like Tableau, Power BI, etc., represent data in a visual format that's striking and informative for data-driven decisions.
Interact with business users, data architects, technical architects, technical leaders, and developers across the organization to ensure timely delivery of relevant and user-friendly data products.
Articulate and influence on requirements for future database and predictive analytics development.
Collaborate with architect to identify ad-hoc tables that need to be promoted to standard work in Commercial or Enterprise.
Research and identify new data sources required by the business.
Work with cross functional process improvement teams to provide key analytical support in identifying process & IT improvements.
Write clean and tested code that can be maintained and extended by other analysts.
Maintain documentation and support your aligned business units & their core applications.

Qualifications:

5 years of business analytics with experience building data-driven solutions to solve business problems.
Bachelor’s degree in Engineering, Mathematics, Computer Science, or related discipline.
Strong knowledge of database systems like MySQL, PostgreSQL, Oracle, or MS SQL. Solid experience with big data, and familiarity with a scripting language for data processing and development (e.g., Python).
Firm grasp on advanced SQL aggregation functions, database performance concepts and query optimization techniques
Project leader and multitasking experience that can continuously move multiple cross-functional projects forward.
Solid experience working with Tableau or other data visualization technologies and the ability to design striking and informative dashboards and reports.
The ability to approach problems logically and make informed decisions based on the data.
Proficient with Cloud environments, preferably GCP and AWS.
Proficient in ETL design for efficient data movement.
Experience in operationalizing data pipelines in a production environment.
Strong communication skills –able to convey complex concepts to technical and business teams in a simple and understandable way.