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.

Key Skills:

• Advanced knowledge of data analytics, cleaning and preparation.
• Proficiency with data modeling and data analysis tools.
• Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
• Experience with statistical and mathematical analysis.