Sr. Data Analyst Job in Saras Analytics

Senior Data Analyst

About Saras Analytics

Saras Analytics is a fast-growing data management and predictive analytics company based out of Hyderabad, India. We are a group of engineers and analysts focused on improving business performance through data analysis. We are laser focused on providing the best ROI for our clients and leave no stone unturned in our quest to provide the best results for our customers. We are an employee-centric organization and are looking for individuals who share our passion to make a difference and to be an integral part of our growth.

Technical:

• Minimum 3 years of experience in related field
  
• Advanced knowledge of SQL,
  
• Advance knowledge in one of the visualization tools such as PowerBI, Tableau, DataStudio etc.
  
• Advance knowledge in one of the cloud databases such as BigQuery, Snowflake, Redshift or Azure
  
• Shapes business and query logic as a basis for analytics (dashboards and deep dives)
  
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  
• Demonstrates extensive knowledge in technical business analysis in an eCommerce industry.
  
• Continuously strives to automate processes to perform data analyses and provides actionable insights
  
• Able to troubleshoot issues and co-own timely resolution needed by Product teams
  
• Independently performs deep RCAs, generates actionable insights and where applicable, identifies new data driven opportunities for the business
  
• Develops standards and processes for QC validation, anomaly detection and alert notifications.
  
• Comes with better KPIs to monitor business health
  
• Move the business towards self-serve, especially in dashboards adoption
  

Operational:

• Presents, articulates, and influences stakeholders through findings/insights
  
• Proactively identifies and acts on opportunities to improve process productivity
  
• Accountable for timely delivery with the right quality
  
• Accurate effort estimation
  
• Demonstrates good understanding of the business context and the analytical/reporting needs when working on new product or service
  
• Communicates effectively around aspects of project execution: requirements, timelines, dependencies, priorities and impact
  
• Trains the business stakeholders to enable them to self-serve the adhoc asks
  
• Mentor junior analysts and serve as SMEs
  
• Proves to be a team player with strong interpersonal skills and ability to take a leadership role when necessary
  

• Detail-oriented individual with the ability to quickly assimilate and apply new concepts, business models, and technologies.
  

Preferred:

• Master s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline
  

• Experience working with Python
  

• Experience and ability to effectively gather information from multiple data sources
  
• Knowledge and direct experience using business intelligence reporting tools such as Tableau.
  
• The ability to analyse, model, and interpret data
  
• Ability to multi-task while managing deadlines, ability to perform well under pressure, and ability to work independently
  
• Ability to work across multiple teams and build relationships to understand business operational process complexities
  
• Strong communication skills, both verbal and written
  
• Ability to proactively QA your own work to ensure quality standards and requirements are met
  

Requirements

• Minimum 3 years of experience in related field
  
• Advanced knowledge of SQL,
  
• Advance knowledge in one of the visualization tools such as PowerBI, Tableau, DataStudio etc.
  
• Advance knowledge in one of the cloud databases such as BigQuery, Snowflake, Redshift or Azure
  
• Shapes business and query logic as a basis for analytics (dashboards and deep dives)
  
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  
• Demonstrates extensive knowledge in technical business analysis in an eCommerce industry.
  
• Continuously strives to automate processes to perform data analyses and provides actionable insights
  
• Able to troubleshoot issues and co-own timely resolution needed by Product teams
  
• Independently performs deep RCAs, generates actionable insights and where applicable, identifies new data driven opportunities for the business
  
• Develops standards and processes for QC validation, anomaly detection and alert notifications.
  
• Comes with better KPIs to monitor business health
  
• Move the business towards self-serve, especially in dashboards adoption