ShopSe - Data Analyst I/II - SQL/Python (2-4 yrs)

About the job :

Designation : Data Analyst I or II

Department : Technology

Location : Mumbai

Reporting To : Data Head/Technology Head

Qualification : Engineering graduates from Tier I or II institutes.

- BE/ B.Tech/ MCA/ M.Tech in computer science.

Platforms/Stacks/Tools/Languages : Python, NoSQL, BigData, Cloud (AWS), Analytics, metabase

Experience :

- Bachelor & or master's degree in analytics, computer science, or related field.

- 2-4 years; experience as a Data Analytics position or similar role.

- Advanced working SQL knowledge and experience working with relational and nosql databases and query authoring (SQL)

- Experience building and optimizing 'big data' data pipelines, architectures and data sets.

- Should have strong experience in Tableau

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Build processes supporting data transformation, data structures, metadata, dependency and workload management.

- A successful history of manipulating, processing and extracting value from large disconnected datasets.

- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

- Excellent communication and presentation skills.

- Results-driven and able to handle multiple projects.

Key Roles and Responsibilities :

- Work with Data Analytics team and manage it's growth and development.

- Define and own data analytics road map.

- Manage, enhance and establish best data Analytics practices.

- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

- Create and maintain optimal data pipeline architecture,

- Assemble large, complex data sets that meet functional / non-functional business requirements.

- Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.

- Enforce company policies and procedures to ensure quality and prevent discrepancies.

- Communicate and track key performance metrics across departments.

- Identify business opportunities and ensure customer satisfaction.

- Manage work with cross-functional teams, review their performance, and manage schedules.

- Generate reports of findings and present these to senior management.

- Keep abreast of industry best practices and policies.

Key Expertise :

- SQL

- Python

- Advance excel

- Dashboarding

- Experience with metabase preferred