Business Reporting & Data Visualization Analyst

Axiom Path•Jersey City, NJ
•Remote

About The Position

This remote role supports a technology and operations organization serving a global financial services environment. The analyst transforms operational data into clear, reliable reporting to help business and security stakeholders make informed decisions. The position involves established reporting processes as well as evolving dashboard initiatives, with collaboration across business, technology, and security functions. The work is aligned primarily with Eastern Time business hours and is offered on a W2 basis only; C2C and 1099 arrangements are not accepted.

Requirements

  • 5–7 years of experience in data analysis, business reporting, operational analytics, or a related discipline.
  • Advanced Microsoft Excel skills, including pivot tables, formulas, lookups, data validation, and data organization.
  • Experience creating dashboards or visual reports with Tableau, Power BI, Google Looker Studio, or a comparable tool.
  • Ability to identify trends and explain their business significance without relying on highly technical terminology.
  • Strong attention to detail and a consistent approach to data quality.
  • Experience gathering reporting requirements from business stakeholders.
  • Ability to manage routine deliverables while responding to ad hoc analytical requests.
  • Clear written and verbal communication skills.
  • Comfort working independently in a remote, cross-functional environment.
  • Basic knowledge of data governance, confidentiality, and privacy principles.

Responsibilities

  • Collect and consolidate information from spreadsheets, reports, and internal business systems.
  • Analyze operational trends, recurring patterns, and performance indicators.
  • Build dashboards, charts, and summary reports for business stakeholders.
  • Partner with cross-functional teams to define reporting needs and clarify business questions.
  • Validate data accuracy, completeness, and consistency before distribution.
  • Support recurring reporting cycles and time-sensitive ad hoc data requests.
  • Maintain reporting documentation, definitions, and standardized processes.
  • Apply appropriate data privacy and governance practices when handling business information.
  • Translate analytical findings into practical, easy-to-understand business insights.
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