Senior Data Analyst

SuperOps is a SaaS startup focused on solving problems for modern IT teams using AI. It helps IT teams to efficiently manage IT infrastructure like networks and systems on the cloud or on-premises, and business critical applications.

About the job

• This is a high visibility job that would entail working very closely with the CEO’s Office in generating insights on business performance.
• The role involves working with multiple internal teams, including but not limited to Sales, Customer Success, Pre-Sales & Product in providing them access to actionable data through analysis and BI reporting.
• An opportunity to fast track your career by working closely with leadership and helping identify processes that will drive revenue for the org.

Expectations:

• Experience in developing functional and Data specifications for Business Analytics and BI projects.

• Participates in the work stream planning process including inception, technical design, development, testing delivery of data architecture for the entire organization.

• Build a data dictionary for the org that details data points across different sources and presents this in a consumable format for self serve reporting wherever needed.

• Strong penchant for documentation.

• Be a part of the RevOps team and will work with your manager to Influence business decisions by providing quantitative/qualitative data analysis, which bring out insights and trends pertaining to business performance.

• Works with internal stakeholders to develop and analyze data support needs. Communicate findings to stakeholders and provide recommendations to business for improving business performance.

• Ensure that data and analysis is presented in a format that is appropriate for a varied audience using data visualization, dashboards, or other methods.

• Utilize strong database skills to work with large, complex data sets to extract insights.

• Understand the business requirements and determine optimum data consumption layer and decision support layer solutions. Identify and provide input to new technology opportunities that will have an impact on the enterprise wide data analytics systems.

• May perform ad‐hoc analysis for a wide range of requests using data in different formats and from various platform.

Qualifications

• 3-5 years of experience in Business Intelligence systems, Data Warehousing, Data Analytics solution Implementation.

• Bachelor's degree in Business, Engineering or a related field

• Should have Hands‐on experience in developing BI visualization reports and Excel for detailed analysis.

• Advanced working knowledge of data mining using ETL, data warehouse as well as Excel

• Understanding of data warehousing, data modeling concept and building new DW tables

• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.

• Proficiency in and prior implementation experience with at‐least two of the following programming languages: SQL, Python, R or Java