We are looking for a high-performing Data Analyst to join our analytics practice. As an analyst, you will play an integral part of the team and work directly with our clients to provide best-in-class analytics solutions and data-driven insights. This role requires analytical curiosity and strong SQL skills, but is not a DBA or ETL developer role.
Create meaningful business insights out of customer, transactional, and other behavioral data.
Conduct both short- and long-term custom analytics projects, design analysis plans, and prepare client deliverables.
Query large databases and other data sources using SQL programming languages.
Support BI reporting development and CRM targeting efforts.
Identify meaningful business insights out of queried data and prepare summary findings for both internal and external stakeholders.
Build relationships and communicate regularly with external clients.
Excellent data analytic skills. Your analytical thinking is far more important than technical skills
Curiosity when analyzing data. Documented history of thinking outside the box and creating novel solutions.
Analytic agility. Ability to change analysis direction based on interim findings.
Evidence of experience working with multiple, large datasets/warehouses, and ability to integrate and extract from such datasets using relevant programs and coding.
Experience using SQL to analyze customer level data, such as POS/transactional or weblog clickstream data.
Aptitude for refining informal analytic, reporting or query requirements to help move beyond the simple ask and surface the underlying “why”.
Strong Excel skills. Experience and familiarity with a wide variety of Excel functions and features (well beyond pivot tables).
Excellent communication skills. Experience explaining technical findings to non-technical audiences.
Experience using programming languages such as R or Python to extract, manipulate, and analyze customer data is a strong plus.
Statistical analysis experience is a plus: regression modeling, decision trees, clustering, etc.
BS or MS in Statistics, Computer Science, Mathematics, Applied Economics, Biostatistics or a field involving experimental design, probabilities and quantitative analysis.
1-3 years of relevant experience.
Must be authorized to legally work in the United States without restrictions or need for a work visa.
Small analytics company focused on delivering excellence and value to our clients by providing high quality analytical and data-driven solutions.
Fun & collaborative culture; you will wear many hats and play an integral part in projects.
Exposure to a wide variety of data analytics, cloud, and open source technologies.
“Take what you need” vacation policy.
401k with generous match, vested immediately.
Free drinks, coffee, beer, and snacks.
Downtown Minneapolis office, connected to skyway.
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