Client-Facing Data Analyst — Deliver Actionable Insights

7Seventy; United States; Hybrid; USD 80,000 - 100,000; Full time

Job summary

7Seventy is seeking a data analytics professional to turn raw data into actionable insights for client projects. You’ll lead end-to-end analytics engagements, from scoping to delivery, and build visual stories using modern data tools.

You will collaborate with client teams, develop dashboards, perform ad hoc analyses, and support data integration efforts across the modern data stack. A strong foundation in SQL and BI tools is essential, with curiosity and autonomy valued.

Qualifications

• Bachelor’s degree in Analytics, Economics, Mathematics, Computer Science, or a related field.
• 1–3 years of relevant experience in data analysis (or closely related work).
• Strong SQL skills (required).
• Proficiency with a BI tool such as Tableau, Power BI, or Looker, including advanced calculations (advanced DAX a plus).
• Self-starter who can work independently and collaboratively to solve client problems.
• Strong analytical judgment and the ability to process data objectively and efficiently.
• Intellectual curiosity and interest in modern analytics and data science practices.

Responsibilities

• Deliver data analytics and light data science projects for clients.
• Own client engagements end-to-end, including scoping, onboarding, analysis, and delivery.
• Build new skills in both client engagement workflows and analytics techniques as needed.
• Communicate findings clearly and help stakeholders take action from data.

Skills

Analytical thinking

Independent worker

Client communication

Attention to detail

Education

Bachelor’s degree in Analytics, Economics, Mathematics, Computer Science, or related field

Tools

SQL

Tableau

Power BI

Looker

Rivery

Fivetran

Job description

7Seventy is seeking a data analytics professional to turn raw data into actionable insights for client projects. You’ll lead end-to-end analytics engagements, from scoping to delivery, and build visual stories using modern data tools.

You will collaborate with client teams, develop dashboards, perform ad hoc analyses, and support data integration efforts across the modern data stack. A strong foundation in SQL and BI tools is essential, with curiosity and autonomy valued.