Senior Data Analyst

Valiant Technologies LLC; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Professional development

Job summary

Valiant Technologies LLC in the United States, Tampa area, seeks a senior Data Analyst to lead data-driven decision making. You will collaborate with business stakeholders to define questions, assess data sufficiency, and design dashboards that reveal clear insights.

The role demands expertise in SQL, Python or R, and modern BI tools, plus ability to explain complex findings to non-technical leadership. You will mentor junior analysts, ensure data quality and lineage, and help establish

Qualifications

• 10+ years of experience in data analysis, BI, or analytics, including direct client-facing or cross-functional stakeholder work
• Proven track record of identifying data gaps and driving cross-team efforts to resolve them
• Strong SQL skills and hands-on experience with at least one scripting/analysis language (Python or R)
• Experience building dashboards and reports in a modern BI tool (Tableau, Power BI, or similar)
• Solid grounding in data modeling, data quality assessment, and data lineage concepts
• Demonstrated ability to communicate technical findings to non-technical business and executive audiences
• Bachelor's degree in a quantitative field (statistics, computer science, engineering, mathematics, or related); equivalent practical experience considered

Responsibilities

• Partner with business stakeholders to define the questions that matter, then assess whether current data can actually answer them
• Identify gaps between the data that's available and the data that's needed — in coverage, granularity, quality, or timeliness — and document the specific impact of each gap
• Drive the plan to close those gaps: working with data engineering, IT, and business-side data owners to source, capture, or correct the missing data
• Design and build analyses, dashboards, and reports that turn raw and newly sourced data into clear, decision-ready insight
• Validate data quality and lineage before analysis ships, and flag where conclusions should be caveated
• Translate findings for non-technical stakeholders and leadership, with a clear narrative of what the data shows and what it still can't
• Establish repeatable processes and documentation so data gaps are caught earlier next time, not just patched after the fact
• Mentor junior analysts on both technical analysis and the discipline of questioning data completeness

Skills

SQL

Python

R

Tableau

Power BI

Data modeling

Data quality

Data lineage

Stakeholder communication

Client-facing

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Power BI

Snowflake

Azure

AWS

GCP

Job description

• Partner with business stakeholders to define the questions that matter, then assess whether current data can actually answer them
• Identify gaps between the data that's available and the data that's needed — in coverage, granularity, quality, or timeliness — and document the specific impact of each gap
• Drive the plan to close those gaps: working with data engineering, IT, and business-side data owners to source, capture, or correct the missing data
• Design and build analyses, dashboards, and reports that turn raw and newly sourced data into clear, decision-ready insight
• Validate data quality and lineage before analysis ships, and flag where conclusions should be caveated
• Translate findings for non-technical stakeholders and leadership, with a clear narrative of what the data shows and what it still can't
• Establish repeatable processes and documentation so data gaps are caught earlier next time, not just patched after the fact
• Mentor junior analysts on both technical analysis and the discipline of questioning data completeness

Required Qualifications:

• 10+ years of experience in data analysis, business intelligence, or analytics, including direct client-facing or cross-functional stakeholder work
• Proven track record of identifying data gaps and driving cross-team efforts to resolve them, not just working with whatever data is handed over
• Strong SQL skills and hands-on experience with at least one scripting/analysis language (Python or R)
• Experience building dashboards and reports in a modern BI tool (Tableau, Power BI, or similar)
• Solid grounding in data modeling, data quality assessment, and data lineage concepts
• Demonstrated ability to communicate technical findings to non-technical business and executive audiences
• Bachelor's degree in a quantitative field (statistics, computer science, engineering, mathematics, or related); equivalent practical experience considered

Preferred Qualifications:

• Experience in IT services or consulting, where data sits across multiple client systems and ownership boundaries
• Domain exposure to BFSI & Regulated Data
• Familiarity with cloud data platforms (Snowflake, Azure, AWS, or GCP) and modern ELT/ETL tooling
• Exposure to AI/ML-assisted analytics or working alongside data science teams
• Experience standing up data governance or data quality frameworks from scratch

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.