Data Scientist
Remote, United States
Medallia
Medallia's software platform provides keen insights to improve customer experience, contact center experience, employee experience and digital experience.We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success.
We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.
At Medallia, we hire the whole person.
About Sense360 by MedalliaSense360, part of Medallia, uses cutting-edge datasets to transform how companies make strategic decisions. We work with some of the top brands and agencies in the world, providing them insights on their customers, competitors, and market opportunities in near-real-time. Sense360 began over 6 years ago and emerged as a fast-growing market research start-up before being acquired by Medallia in September 2020. With Medallia’s broad capabilities as the leader in customer experience and the environment of Sense360 that is still very much like a start-up, this is truly an exciting place to be!
The RoleYou will be responsible for leading our Data Analyst team and contribute to turning our data into insights. You will partner closely with various client-facing teams to convert these insights into business decisions for our customers. You will have the opportunity to work on our core datasets such as Foot Traffic, Transaction, and Survey data. You will be accountable for creating various dashboards, creating new metrics and methodologies, supporting product data backfills, and perform analysis to support our Analytics, Sales, and Customer Engagement teams.
We are looking for teammates with strong project management, analytical thinking experience, interested in digging into data using SQL, and who are able to get stuff done quickly without compromising the quality of their work and will thrive in a fast-paced start-up environment. If you are a team player excited to take on a new challenge and want to be in an environment where you can grow, then we'd love to talk to you!
Responsibilities
- Collaborate with the Data Science and Engineering teams to understand our product stack and data methodologies and act as a liaison between our product and client-facing teams regarding data-related issues
- Gather requirements, develop and manipulate raw data from various sources to generate meaningful insights using SQL and BI tools such as Periscope
- Enhance Sense360’s internal team operations through product feedback, standardizing recurring analyses, designing workflow processes, and training/knowledge sharing
Minimum Qualifications
- 3+ years of experience in data analytics and developing data products / BI solutions, including data exploration, reporting, and visualization, with a proven record of having the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- 3+ years of practical experience with SQL, including monitoring and debugging recurring data pipelines
- Experience with data visualization tools such as Periscope, Tableau, Looker, etc.
- Strong verbal and written communication skills, and demonstrated ability to influence people effectively at all levels of the organization
- Working knowledge of Microsoft Excel
Preferred Qualifications
- Market research experience
- Experience with cloud services like AWS, Azure, or Google Cloud
- Python experience
- VBA experience
Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws.
For information regarding how Medallia collects and uses personal information, please review our Privacy Policies.
Tags: AWS Azure Data Analytics Data pipelines Data visualization Engineering Excel GCP Google Cloud Looker Market research Periscope Pipelines Python Research SQL Survey data Tableau
Perks/benefits: Startup environment
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