Remote Operations Data Analyst | Drive Growth & Insights

Energy Jobline ZR

Seattle (WA)

Remote

USD 61,000 - 90,000

Full time

11 days ago

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Benefits offered by this job

Health insurance
Competitive salary
Quarterly meet-ups
Engagement tools

Job summary

Splash Financial is seeking an Operations Data Analyst who loves using data to solve problems and drive real business impact. You will help improve performance across teams by delivering data-driven insights, building automated reports, and applying AI tools to streamline processes.

The ideal candidate has 1–3+ years in analytics, strong SQL and data modeling skills, and experience with Snowflake/dbt and BI tools like Sigma, Tableau, or Power BI.

Qualifications

  • 1–3+ years in a Data Analyst or Business Analyst role.
  • Strong SQL skills and data modeling experience.
  • Proficiency with BI tools (Sigma, Tableau, or Power BI).
  • Ability to translate data into actionable recommendations.
  • Experience with AI/ML tools or AI-driven solutions.
  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field.

Responsibilities

  • Analyze servicing and collections performance and application funnels.
  • Build and maintain automated reports for lending partners and vendors.
  • Maintain data models in Snowflake and dbt; support dashboards.
  • Audit models and reconcile numbers with partner figures.
  • Identify performance gaps and test hypotheses with data.
  • Apply AI tools to streamline analytics work.
  • Collaborate with data engineering, product, and business teams.

Skills

SQL
BI tools
AI/ML tools

Education

Bachelor's degree in data analytics / statistics / economics / business

Tools

Snowflake
dbt
Power BI
Tableau
Sigma

Job description

Splash Financial is seeking an Operations Data Analyst who loves using data to solve problems and drive real business impact. You will help improve performance across teams by delivering data-driven insights, building automated reports, and applying AI tools to streamline processes.

The ideal candidate has 1–3+ years in analytics, strong SQL and data modeling skills, and experience with Snowflake/dbt and BI tools like Sigma, Tableau, or Power BI.

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