As Data Analyst, this role will be responsible for Data analysis. Key responsibility includes analysis of data for insight generation, quality assessment and data visualization.
Roles & Responsibilities:
Ability to understand the business domain and determine business impact due to data issues.
Data analysis of complex data sets to uncover meaningful patterns, trends, and relationships using tools and techniques, python), providing actionable insights, and ensuring data quality across various projects.
Design, develop, and execute complex data analysis projects using advanced SQL and Python.
Experience in Data validation processes
Hands on in using Data profiling tools and techniques.
Strong in approaches to evaluate large dataset for quality and accuracy.
Identify, compare, and resolve data quality problems.
Strong understanding of relational databases, star schema, and data modeling.
Write advanced SQL queries to extract relevant information for analysis.
Conduct unit and regression testing to validate data pipelines.
Understanding of Microsoft Azure tools and services to assist in data pipeline validation
Be a strong Agile team member.
Insight generation through visualization.
Skills:
Strong knowledge on Excel – (Pivots, Macros / Functions (statistical), Filters,Vlookup etc).
Should be hands on in Data profiling / Data Quality tools preferably Informatica/Talend.
Should be hands on writing complex sql queries
Should have scripting knowledge on either Python
Excellent communication and organizational skills
Qualifications & Experience :
B.E (or equivalent) in Computer Sciences
7-9 years of prior experience having worked on data related projects
