Job Description

Position Summary:

We are seeking a detail-oriented and technically proficient

Data Analyst

to work with diverse and complex datasets to uncover insights, support data-driven decision-making, and contribute to enterprise data initiatives. The ideal candidate will have hands-on experience with SQL, Snowflake, APIs, and ETL pipelines, as well as a strong understanding of data quality, governance, and integration patterns.

Required Qualifications:

7+ years of professional experience in a data analyst or data engineering support role. Strong expertise in

SQL

for data extraction, transformation, and validation. Experience working with

Snowflake

and familiarity with data warehousing concepts. Solid understanding of

ETL processes

and working knowledge of data pipeline concepts. Familiarity with

REST API integration

and JSON/XML data structures. Experience with

data profiling, data quality checks

, and normalization techniques. Proficiency in

Python

and

Java

for custom data solutions and automation. Experience working with

Qlik Replicate

or similar real-time replication tools. Hands-on exposure to

YugabyteDB

or other distributed SQL databases.

Nice to Have / Preferred Skills:

Understanding of

AI/ML concepts

and how they apply to data preparation and modeling. Experience with

CI/CD pipelines

for automated testing and deployment of analytics solutions. Familiarity with

Rocket ETL

or similar ETL automation tools. Exposure to

data visualization tools

such as Sigma, Tableau, or Power BI. Knowledge of cloud platforms such as

AWS, Azure, or GCP

.

Key Responsibilities:

Analyze and interpret

complex structured and semi-structured datasets

from multiple internal and external data sources. Write advanced

SQL queries

to extract, manipulate, validate, and summarize large volumes of data efficiently. Perform

data profiling, cleansing, and normalization

to improve data integrity and consistency. Use

Snowflake

for querying, transforming, and analyzing data in a cloud-based data warehouse. Integrate data from and with

RESTful APIs

and third-party data providers. Collaborate with data engineering teams on

ETL pipeline validation

and enhancements. Ensure compliance with

data governance standards

, data security, and privacy policies. Use

Qlik Replicate

for supporting real-time and near-real-time data ingestion workflows. Access and query data in

distributed SQL databases

like

YugabyteDB

. Develop scripts in

Python and Java

for data processing, automation, and validation tasks.

Qualifications

BE

Range of Year Experience-Min Year

5

Range of Year Experience-Max Year

7