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# Data Analyst II

- **Company:** Inspyr Solutions
- **Location:** East Coast of the United States, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Data Validation, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Systems, Data Visualization, Python (Programming Language), Operational Data Store, Power BI, Cloud Services, Standard Sql, SQL Databases, Tableau (Software), Cloud Platform System, Snowflake, Git, Data Analytics, Data Pipelines, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/0ac2ac49-61e8-41e9-ae89-17b0096622cb

## About the Role

* 2+ years of experience in data analytics, business intelligence, or related fields.
 * Strong hands-on SQL skills.
 * Strong Python experience for data analysis, automation, and reporting.
 * Experience working with Snowflake, Databricks, or similar cloud data platforms.
 * Proven ability to automate processes and improve workflow efficiency.
 * Experience with ETL, data transformation, and data validation.
 * Strong analytical and problem-solving skills.
 * Ability to work independently in a fast-paced, evolving environment., * Experience with Power BI, Tableau, or other visualization tools.
 * Background in financial services, asset management, investment management, or other business-focused analytics environments.
 * Experience with Git, APIs, or workflow orchestration tools.
 * Understanding of sales, CRM, transactional, or operational data.

<>Ideal Candidate

The ideal candidate is a proactive self-starter with strong SQL and Python skills who enjoys building automated, scalable solutions. You thrive in an entrepreneurial environment, take ownership of business problems, and can translate data into meaningful insights that drive action.
#IND-TELECOM

## Description

* Develop, maintain, and enhance reporting, analytics, and data workflows.
 * Write and optimize SQL and Python code for data extraction, transformation, automation, and validation.
 * Build scalable processes that reduce manual effort and improve operational efficiency.
 * Support data pipeline development and maintain reporting environments in cloud-based platforms.
 * Create dashboards and visualizations using Power BI, Tableau, or similar tools.
 * Analyze business requirements and translate them into practical data solutions.
 * Monitor data quality, troubleshoot issues, and implement sustainable fixes.
 * Document processes, workflows, and business rules to support scalable operations.


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