
Data Driven Insights Professional
1 day ago
Job Title: Business Intelligence Specialist
Be among the first 25 applicants to a rewarding role where you can utilize your analytical skills to drive business decisions. In this position, you will be responsible for supporting internal analyses and generating insights from data.
- Support internal analyses and generate insights from data to inform business decisions by utilizing statistical modeling and experimental design concepts.
- Communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
- Support client meetings as a subject-matter expert while primarily focused on internal analysis and insights.
Required Skills and Qualifications:
- Strong proficiency in Python, SQL, and R programming languages is essential for success in this role.
- Applied expertise in statistical modeling and experimental design such as sampling, confidence intervals, agreement metrics is crucial.
- Experience working with moderate-to-large datasets with the ability to scale analyses as data volume grows is necessary.
- Familiarity with Business Intelligence (BI) visualization tools like Looker Studio, Sisense, Tableau, or Power BI is required.
- Experience in Google Cloud Platform (GCP) or other cloud data environments preferred but not required.
- Excellent communication skills are necessary to convey insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
- Comfortable supporting client meetings as a subject-matter expert while primarily focused on internal analysis and insights.
- 3+ years of experience in a quantitative role such as Analytics consultant, Quantitative Analyst, Product Analyst, or similar with proven ability to navigate ambiguous environments.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field OR equivalent practical experience is required.
- SQL knowledge must include proficiency in using SQL to query, manipulate, and manage data within relational databases.
- Statistical Knowledge: solid understanding of statistical concepts such as probability, regression analysis, and hypothesis testing.
- Database and Data Warehousing: knowledge of different database systems (MySQL, PostgreSQL) and concepts like data warehousing and ETL processes is important for managing large datasets.
- Oral and written comprehension and appropriate use of language is necessary.
Benefits and Perks:
- Competitive salary and benefits package offers a comprehensive compensation structure.
- Opportunity to work at the intersection of AI, linguistics, and human judgment driving impact in a rapidly evolving industry.
- Remote position allows flexibility in work arrangements.
- Exposure to cutting-edge AI projects with a global client base.
- Growth opportunities as the program scales offer career advancement possibilities.
- Annual merit increase based on performance provides recognition for outstanding contributions.
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