Client Data Analyst

atAcostaRemoteUS flagTexasFull-timeData AnalystMid-levelSenior$70k – $80k/year

Posted Oct 16

This is a fully remote position, open to applicants in Texas.

šŸ“‹ Description

• Take ownership of data quality, reporting precision, and KPI governance for Verizon Value.

• Create and uphold validation, reconciliation, and quality assurance processes.

• Examine and resolve data inconsistencies across source systems, dashboards, and client reports.

• Define and document KPI definitions, business rules, and calculation methodologies.

• Oversee reporting outputs and proactively detect issues before they affect business decisions or client deliverables.

• Act as the main point of contact for inquiries related to reporting accuracy and data.

• Develop and sustain Verizon Value dashboards, scorecards, and executive-level reports.

• Construct and support Power BI datasets, semantic models, and reporting automation solutions.

• Design standardized reporting templates and reusable BI resources.

• Enhance reporting efficiency through automation and process improvement.

• Address ad hoc analytical requests and executive reporting requirements.

• Collaborate with analysts to guarantee reliable, high-quality data is available for insights and storytelling.

• Work alongside Data Engineering on data pipeline improvements and issue resolution.

• Promote the adoption of reporting standards and best practices throughout the organization.

• Minimize data discrepancies, reporting rework, and manual validation efforts.

• Enhance data quality, reporting accuracy, stakeholder trust, and reporting efficiency.

• Ensure timely and consistent delivery of Verizon Value reporting.

• Foster increased use of analytics for informed business decision-making.


ā›³ļø Requirements

• Proven experience in data governance and reporting accuracy.

• Strong analytical and problem-solving skills.

• Proficiency in Power BI and other data visualization tools.

• Excellent communication skills, both verbal and written.

• Ability to work collaboratively across teams and departments.

• Familiarity with data quality assurance methodologies.

• Strong attention to detail and organizational skills.


šŸļø Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and work-life balance initiatives.

• A supportive and inclusive workplace culture.

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