Data Analyst

Pandata is a Cleveland-based consulting firm that empowers innovative organizations to plan design, and scale AI solutions that are approachable, ethical, and always built for humans.

Why Pandata?

We offer an internal training program to grow our data analysts into data scientists.

We have a strong culture that places an emphasis on living our core values: be approachable, crave knowledge, tame uncertainty, manifest entrepreneurship, and navigate ethics.

Pandata Cares is a program to ensure that team members have access to health and wellness resources, as well as providing unique incentives tied to performance.

You will work on fast-paced, cutting edge projects across a wide range of industries and use-cases.

We work hard but make time to have fun!

We are growing!

What you will do

· Work with clients to prioritize business and information needs

· Acquire, curate, and clean data from a wide variety of both public and private sources

· Identify, analyze, and interpret trends or patterns in complex data sets

· Present information using data visualization techniques and tools

· Develop reports and presentations to communicate findings and recommendations

· Build and develop dashboards in business intelligence tools like Tableau

· Continue to grow your knowledge of data analytics tools and processes

· Represent Pandata at various community and regional events

· Up to 10% travel may be required

· Undergraduate degree in quantitative field (mathematics, statistics, engineering, …) or equivalent certification or experience

· At least 3 years of experience - in data analytics or related fields

· Track-record of problem solving and ability to work both independently and with a team

· Experienced at using R or Python to analyze and visualize data (please share portfolio if available)

· Proficient at SQL and able to extract and analyze data from relational databases

· Prior experience using business intelligence tools (Tableau, Power BI, …)

· Excellent communication, writing, and presentation skills

· Strong understanding of statistical and mathematical concepts

· Ability to work with data in a variety of formats (JSON, XML, HTML, Text, etc..)