Senior Data Analyst - Snowflake, United States - Rippling

Description

Appriss Retail provides real-time decisions and active risk monitoring to enable our customers to maximize profitability while managing risk. Our solutions are continually adapting to changing market conditions.
We bring 20+ years of retail data science expertise and experience.

We serve a global base of leading commerce partners, representing 1/3 of all US omnichannel retail sales activity across 150,000 retail locations across specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in 45 countries on six continents.

The company provides compelling, relevant, and profitable collective intelligence to operations, finance, marketing, and loss prevention. Appriss Retail's performance-improvement solutions yield measurable results with significant return on investment.
About the role

The Senior Data Analyst will determine best practices and develop insights and recommendations for business operations using a variety of data analyses tools.

What you'll do
Monitor and improve current processes using statistical and numerical data.
Analyze and interpret client data to uncover insights, trends, and anomalies.
Present results from these analyses to management, communicate issues to and from clients, and coordinate resolution of those issues.
Monitor the system's business performance, identify areas for improvement and assist in the identification and tracking of issues.
Automate processes related to client reporting and business health.
Qualifications
Degree with coursework in statistics (MS preferred although a BS with experience will be considered).
Experience working in an analytics / data / coding position for 3+ years.
Fluent in Python (3+ years of experience) and with experience implementing solutions using OOP and unit testing.
Intermediate SQL knowledge including familiarity with common table expressions and window functions.
A passion for digging into, cleaning, and interpreting complicated, heterogenous, and imperfect data.
Ability to distill and clearly communicate complex ideas to senior stakeholders.
Comfortable using Git, Jira.
Good verbal and written communication skills.
Ability and willingness to work with a team.
Proven ability to work on time-sensitive deliverables.
Demonstrated ability to apply statistical knowledge to analyze data, identify trends, outliers, create reports, automate processes.
Preferred Qualifications

Experience with Snowflake, PostgreSQL and/or SQL Server.
Knowledge of supervised and unsupervised modeling algorithms and approaches.
Experience with data warehouse solutions a plus (Snowflake).
Experience working with Azure / AWS.
Appriss Retail offers competitive benefits including medical, dental, and vision coverage.

We offer an immediate vesting 401(k) plan with employer matching, unlimited paid time off for salaried employees, and well-being support including gym reimbursements, a subscription to Calm – Meditation and Sleep app, and paid leave for new parents and family care.

As a hybrid global community, we also offer a remote work-first environment empowering our people to work wherever suits their lifestyle.

The pay range for this role is:115, ,000 USD per year (Remote - United States)

#J-18808-Ljbffr