About Saras Analytics
We are an ecommerce focused end-to-end data analytics firm assisting enterprises & brands in data driven decision making to maximize business value. Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services. Our flagship product is Daton, an ETL tool. We have now ventured into building exciting ease of use data visualization solutions on top of Daton. And lastly, we have a world-class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value.
Where we are Today
We are a boot strapped, profitable & fast growing (2x y-o-y) startup with old school value systems. We play in a very exciting space which is an intersection of data analytics & ecommerce both of which are game changers. Today, the global economy faces headwinds forcing companies to downsize, outsource & offshore creating strong tail winds for us. We are an employee first company valuing talent & encouraging talent, and live by those values at all stages of our work without comprising on the value we create for our customers. We strive to make Saras a career and not a job for talented folks who have chosen to work with us.
Technical Requirement Minimum 3 years of experience in related field
- Advanced knowledge of SQL,
- Advance knowledge in one of the visualisation 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 byProduct 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 Requirement - 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.