Job Title: Data Analyst 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full time