Data Analyst

Data Analyst

This job is no longer open
At Jobscan, we’re passionate about empowering job seekers to land more interviews. Founded in 2013, our unique technology provides access to 1+ million job seekers to help them stand out in competitive job markets in 100+ countries. Jobscan’s platform benefits all its stakeholders, including job seekers, employers, universities, and communities. We are completely customer-funded, profitable, and growing exponentially.

As a Data Analyst, you will be the front-lines of our business discovering key insights from data to inform strategy and develop automated reports and visual dashboards that support the rapid growth of our Marketing, Sales and Product teams. You will gain a deep understanding of our customers, business processes, and programs, while working across teams to improve business performance.

You will also bring exceptional interpersonal and communication skills, a highly collaborative mindset, an ability to work independently, and a willingness to learn in a fast-paced, rapidly changing atmosphere. This position will also provide a unique opportunity for development and advancement within an organization defining the future of job search.

What You’ll Be Doing:

    • Design, develop, and deliver data solutions – including data visualizations and ad hoc analysis from raw data.
    • Create operational dashboards and automated reports that provide critical insights into customer behavior and KPIs for business outcomes. Identify metrics that simplify how we grow the business.
    • Create high-confidence recommendations from incomplete data to provide clarity to stakeholders using your analytical and data visualization skills.
    • Collaborate with stakeholders across departments to act on complex, multi-source data to generate/test business assumptions.
    • Communicate actionable insights using quantitative analysis, data mining, and presentation skills.
    • Align metrics and reporting across Marketing, Sales, Product and other departments.

What You’ll Need:

    • 4+ years’ experience in data analysis, modeling and visualization.
    • Understanding of SaaS metrics and benchmarks.
    • Proven ability to work cross-functionally in a fast-paced environment with minimal supervision.
    • Ability to build, interpret, and execute complex SQL queries across platforms.
    • Ability to create data visualization using tools like Tableau and Redash.
    • Proficiency with data warehousing tools, preferably BigQuery.
    • Proficiency with Microsoft Excel and/or Google Sheets.
    • Strong analytical skills and experience with reporting and data analysis.
    • Strong interpersonal and presentation skills.
    • Ability to articulate technical insights to non-technical people.
    • Familiar with web analytics tools, preferably Google Analytics and Segment.
    • Bachelor’s degree from an accredited university in a quantitative field.

What’d Be Cool To Have:

    • Experience working with marketing and sales data.
    • Experience working with product data.
    • Tech startup experience.
Benefits
 Remote work
 Competitive salary + stock options
 Flexible schedule
 Unlimited PTO + 14 Paid Holidays + Paid Sick Days
 Paid parental leave
 401(k) + employer match
 Health savings accounts
 Life insurance
 $1000 tech stipend, education stipend, internet stipend
 Apple computer or PC of your choice
 Medical, dental, vision, and life insurance


At this time, we are only considering candidates who are authorized to work in the United States without employer sponsorship.

Jobscan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.