Data Analyst

Incedo Inc

Atlanta, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Data Validation Data Governance Extract Transform Load (ETL) Data Visualization Data Warehousing Relational Databases Apache Hadoop Python (Programming Language)

+16 more

NumPy Performance Tuning Power BI SAS (Software) SQL Databases Tableau (Software) Cloud Platform System Snowflake Pandas Information Technology Data Lineage Atlassian Tools Data Analytics Data Pipelines Alteryx Databricks

Requirements

5+ years of experience as a Data Analyst, Business Data Analyst, or similar role.
Strong proficiency in SQL, including complex joins, CTEs, subqueries, window functions, and performance optimization.
Strong experience with Python, particularly Pandas and NumPy, for data analysis.
Experience with Tableau, Power BI, or similar visualization tools.
Strong understanding of data warehousing concepts, relational databases, and data modeling.
Experience working with large datasets and multiple data sources.
Strong knowledge of data quality, data validation, reconciliation, and profiling.
Ability to translate business requirements into technical/data requirements.
Excellent analytical, problem-solving, and communication skills.
Experience working in Agile/Scrum environments.

Preferred Skills

Experience in the banking or financial services domain.
Knowledge of banking products such as deposits, loans, payments, cards, mortgages, or wealth management.
Experience with AWS, Azure, Databricks, Snowflake, or Hadoop.
Familiarity with ETL/ELT processes and data pipeline concepts.
Experience with Alteryx, SAS, or Informatica.
Knowledge of data governance, data lineage, and regulatory reporting.
Experience working with cloud-based data platforms.
Familiarity with Jira and Confluence., Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, Mathematics, Business Analytics, or a related field.