Senior Analytics Engineer

HireTalent; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

HireTalent is seeking a Senior Analytics Engineer to turn supplier, contract, spend, and payment data into actionable insights. The role is remote within the United States, with a focus on identifying trends and opportunities to improve working capital and data integrity.

You will lead analytics initiatives, design dashboards in Power BI, and develop validation rules to ensure data quality. A strong SQL background and the ability to influence business decisions are essential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5+ years of experience leading complex analytical initiatives in data analytics or related fields.
• Strong proficiency in SQL for data extraction, analysis, reconciliation, and validation.

Responsibilities

• Analyze invoice data, payment cycles, and maverick spend to identify trends and improvement opportunities.
• Develop dashboards and visualizations to communicate insights to leadership.
• Create data validation rules, reconciliations, and quality controls to improve data integrity.

Skills

SQL

Power BI

Data analytics

Education

Bachelor's degree or equivalent

Tools

Power BI

Job description

Client is hiring a Senior Analytics Engineer to turn supplier, contract, spend, and payment data into insights leadership acts on.

Location: Remote

What you'll do:

• Analyze invoice data, payment cycles, purchase orders, maverick spend, and cycle times to identify trends, exceptions, process gaps, and improvement opportunities.
• Evaluate payment-term data and identify actionable working-capital improvement opportunities.
• Develop data validation rules, reconciliations, audits, and quality controls to identify incorrect, incomplete, or inconsistent data and improve overall data integrity.

What you'll bring:

• Bachelor's degree or equivalent practical experience.
• 5+ years of experience leading complex analytical initiatives in data analytics, business intelligence, procurement analytics, finance analytics, or a related field and delivering recommendations that influence business decisions.
• Strong proficiency in SQL for data extraction, analysis, reconciliation, and validation.
• Experience developing dashboards and visualizations using Power BI or a comparable business intelligence platform.

Nice to have:

• Experience with forecasting, statistical analysis, benchmarking, financial modeling, or scenario analysis.
• Experience with savings analytics, spend analytics, supplier performance, supplier risk, supplier diversity, category management, or working-capital analysis.