Senior Data Analyst

Machine Learning Technologies, LLC; Tampa (FL); On-site; USD 105,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Tampa, FL seeks a senior data analytics leader to partner with stakeholders, identify and close data gaps, and deliver decision-ready dashboards using Tableau/Power BI. You’ll mentor analysts and drive cross-functional data initiatives.

The role focuses on analytics strategy, data quality, and effective communication of findings to executives, with a strong emphasis on data governance and scalable processes.

Qualifications

• 10+ years of experience in data analysis, BI, or analytics with client-facing/stakeholder work
• Proven track record of identifying data gaps and driving cross-team resolution
• Strong SQL skills and hands-on Python or R
• Experience building dashboards/reports in Tableau or Power BI
• Solid grounding in data modeling, data quality assessment, and data lineage
• Ability to communicate technical findings to non-technical audiences
• Bachelor's degree in a quantitative field or equivalent experience

Responsibilities

• Partner with business stakeholders to define questions and assess data availability and quality
• Identify gaps between available data and needs; document impact of each gap
• Lead plans to close gaps with data engineering, IT, and data owners
• Design and build analyses, dashboards, and reports for decision-ready insights
• Validate data quality and lineage before deployment; flag caveats
• Translate findings for non-technical leadership with a clear narrative
• Establish repeatable processes and documentation to catch data gaps early
• Mentor junior analysts on analysis techniques and data questioning

Skills

SQL

Python/R

BI dashboards

Data modeling

Data quality

Data lineage

Stakeholder communication

Education

Bachelor's degree in quantitative field

Tools

Tableau

Power BI

Snowflake/AWS

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.