Data-Driven Financial Analyst – Pricing & Insights

Enterprise Mobility; Salt Lake City (UT); Hybrid; USD 75,000 - 90,000; Full time

Benefits offered by this job

Paid vacation

Paid parental leave

Sick leave

Flex days

Medical insurance

Dental insurance

Vision insurance

401(k) employer match

Job summary

Entegral, a Teleworking-first SaaS company under Enterprise Mobility, seeks a Financial Analyst to analyze and optimize financial and operational performance. You will build automated reporting, predictive tools, and pricing models while partnering with departments to provide data-backed insights.

Ideal candidates are data-driven with expertise in SQL, Looker Studio and BigQuery, capable of translating findings into strategic actions for senior leadership.

Qualifications

• 4+ years of professional work experience in Data or Financial Analytics.
• Bachelor’s Degree in Business, Finance or Data Science or equivalent.
• Experience with data pipelines, SQL, ML and visualization.
• Proficient in Excel and cloud data warehouses (BigQuery/Snowflake).

Responsibilities

• Create and manage financial dashboards using Looker Studio and BigQuery.
• Develop methods for calculation and reporting of financial metrics across departments.
• Build financial models to forecast performance and identify risks and opportunities.
• Prepare detailed reports and presentations for stakeholders and senior management.
• Collaborate with product and engineering to optimize data ingestion and standards.
• Query and analyze large datasets to uncover trends and root causes.

Skills

SQL

Looker Studio

BigQuery

Excel

Data Analytics

Education

Bachelor’s Degree in Business or Finance or Data Science

Tools

Cloud Data Warehouses

Job description

Entegral, a Teleworking-first SaaS company under Enterprise Mobility, seeks a Financial Analyst to analyze and optimize financial and operational performance. You will build automated reporting, predictive tools, and pricing models while partnering with departments to provide data-backed insights.

Ideal candidates are data-driven with expertise in SQL, Looker Studio and BigQuery, capable of translating findings into strategic actions for senior leadership.