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 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.
About the Role
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic team. The ideal candidate will
have a strong foundation in SQL, experience with ETL processes, and the ability to transform data into
actionable insights. A knack for understanding e-commerce business dynamics is a plus.
Must-Have Skills:
∙Proficiency in SQL and have experience in handling complex and large size datasets
∙Experience in ETL, Proficient in managing end-to-end data flow, from data extraction from source
systems to transformation for analytics and loading into target systems or data warehouses.
∙Highly Proficient in at least one BI tool (e.g., Tableau, Power BI, Looker, or similar).
∙Experience with BigQuery or similar data warehouses
∙Strong analytical skills to interpret complex data and deliver clear, actionable insights.
∙Excellent communication skills to present findings effectively to stakeholders
∙Ability to thrive in a fast-paced environment, managing multiple priorities effectively.
Good To Have Skills:
∙Familiarity with e-commerce business models and metrics.
∙Knowledge of Python or other statistical tools for advanced data analysis.
∙Understanding of data governance and best practices for data integrity and security.