Data & Business Intelligence Analyst

Data & Business Intelligence Analyst 16753

• Hourly pay: $40-$55 (Pay depends on the location and years of experience)
• Worksite: Leading professional networking and job search platform (Remote, Candidates must be located in the United States)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
• 40 hours/week, 2 Month Assignment

The leading professional networking and job search platform is seeking a Data & Business Intelligence Analyst. The successful candidate will lead data-driven recommendations and insights to support strategic projects across Go-to-Market Operations. The company offers a great work environment!

Data & Business Intelligence Analyst Responsibilities:

• Understand the business, track data quality, provide insights, and recommendations.
• Support company-wide programs through ownership of analytical projects.
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy.
• Possibility to learn & implement advanced analytics tools/AI for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation).
• Lead high-impact data cleanup efforts by applying analytical judgment to ambiguous datasets, leveraging querying and analysis tools (e.g., SQL), and establishing best-practice classification and decision frameworks to enable scalable automation.
• Execute data updates directly in Salesforce and related systems, partnering with GTM Ops, Sales, and cross‑functional stakeholders to validate changes while ensuring accuracy, consistency, and completeness.

Data & Business Intelligence Analyst Qualifications:

• 2-4 years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• BS degree in a quantitative discipline is preferred.
• Experience with manipulating massive-scale structured and unstructured data is preferred.
• Experience creating and maintaining business-critical data warehouse tables using SQL is preferred.
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.) is preferred.
• Knowledge and experience of leveraging AI tools for Data/Insights research is preferred.
• Familiarity with the advertising and media agency ecosystem, including agency hierarchies, multi-market coverage models, and client–agency relationships, is preferred.
• Ability to leverage numbers and insights to influence & drive sound decision-making is preferred.
• Ability to build strong partnerships and collaborate with stakeholders is preferred.
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript) is preferred.