Data Analyst II

INSPYR SolutionsPhiladelphia, PA
Hybrid

About The Position

We are seeking a Data Analyst to join a growing data and analytics team focused on transforming manual reporting and analysis processes into scalable, automated solutions. This is a hands-on role for a technically strong analyst who enjoys solving business problems, improving processes, and building reliable data products that drive decision-making.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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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