Data Analyst

ScaleneWorks INC

Memphis (TN)

On-site

USD 116,480 - 149,760

Full time

14 days+

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Job summary

A leading company in the financial services sector is seeking a skilled Data Analyst / SME in Memphis. The role involves enterprise data analysis, reporting, and data mapping within a cloud-based environment. Ideal candidates will have extensive experience in SQL and Azure services, along with strong analytical and problem-solving skills. This full-time position offers a competitive salary and the opportunity to work on impactful projects in the banking domain.

Qualifications

Minimum 8+ years of experience as a Data Analyst or Data SME.
Strong experience in SQL and Azure Data Services.
Proficient in data analysis and reporting.

Responsibilities

Support enterprise data analysis, reporting, and data mapping initiatives.
Develop data mapping documents and trace data flow.
Generate reports and dashboards for business stakeholders.

Skills

Data analysis

Data profiling

Data validation

SQL

Data mapping

Azure Data Services

Databricks

Reporting

Problem-solving

Communication

Tools

Power BI

Tableau

Python

PySpark

Job description

Direct message the job poster from ScaleneWorks INC

Talent Acquisition Specialist @ ScaleneWorks INC | IT Recruitment, LinkedIn Sourcing

Job Description:

We are seeking a skilled and detail-oriented Data Analyst / SME with experience in the banking domain to support enterprise data analysis, reporting, and data mapping initiatives. The ideal candidate should possess strong analytical capabilities, hands-on experience querying and interpreting data, and proficiency in mapping data across systems in a cloud-based environment. This role requires working knowledge of Microsoft Azure data services, and experience with Databricks is a strong plus.

Responsibilities and Qualifications:

Minimum 8+ years of experience as a Data Analyst or Data SME, with strong exposure to banking and financial services.
Proven expertise in data analysis, data profiling, and data validation across large-scale datasets.
Proficient in writing complex SQL queries to extract, join, filter, and aggregate data from relational databases like SQL Server or Azure SQL. Skilled in using window functions and optimizing queries for large datasets to support accurate and efficient reporting and analysis.
Strong experience in developing data mapping documents and tracing data flow from source to destination systems.
Experience working with Azure Data Services including Azure SQL, Azure Data Factory, Data Lake, and Blob Storage.
Hands-on experience or good understanding of Databricks for data transformation, exploration, and processing.
Ability to generate meaningful reports and dashboards to support business stakeholders and regulatory requirements.
Familiarity with banking data structures, products (e.g., deposits, loans, payments), and reporting standards.
Detail-oriented with excellent problem-solving skills and ability to work with cross-functional teams including business, data engineering, and QA.
Strong communication and documentation skills to clearly articulate findings and recommendations to technical and non-technical stakeholders.
Familiarity with data governance, lineage, and quality best practices is preferred.
Experience with BI tools (e.g., Power BI, Tableau) and scripting languages (e.g., Python, PySpark) is a plus.

Seniority level