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Senior Business Analyst
manage and interpret high-volume data from various sources Required Qualifications At least 5 years of experience in data analysis, business intelligence, or a related role Proficient in SQL and Excel, with familiarity in data analysis tools such as Python
Senior Technical Account Manager
cross-functional team initiatives Required Qualifications 4+ years of Technical Account Management experience in a SaaS/CX/CCaaS domain Knowledge of REST/JSON API for system integrations Familiarity with software languages such as JavaScript, Java, Ruby, and Python
Junior Data Engineer
collect source data from the web Write and run data transformers in Scala Spark to standardize bulk data sets Analyze and report on internal datasets to answer questions and inform feature work Required Qualifications Professional experience with Python
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Senior Technical Account Manager
experience in technical customer support, API support, or SaaS environments Strong technical acumen, including familiarity with webhooks, APIs, and authentication schemes Basic knowledge of programming languages, with a preference for JavaScript or Python
Data Analyst (Canada)
boost revenue Required Qualifications 3+ years of experience in revenue, retention, and customer lifecycle analytics, preferably in a B2B environment BA/BS in a quantitative field or behavioral science with statistical skills Proficient in SQL and Python
Senior Customer Success Manager
customer-facing SaaS role Experience managing large-scale transformation projects, preferably with Fortune 500 companies Interest or experience in sustainability and climate accounting Familiarity with data management and programming languages, including Python
Retail Analytics Manager
roles, with 2-3 years in retail analytics functions Proficient in working with syndicated data sources such as SPINS and Nielsen Strong skills in data analysis, financial modeling, and data visualization Experience with SQL; knowledge of R and/or Python
Senior Customer Success Manager
understanding of fraud/AML use cases such as transaction fraud, account takeover, and synthetic identity fraud Experience working with machine learning-based detection systems and/or rule engines for fraud prevention Proficient with SQL, and experience in Python
