Client Data Analyst II

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Utilize advanced statistical techniques to analyze intricate datasets, uncover business drivers, and formulate actionable insights.

• Spearhead the creation and enhancement of measurement frameworks, key performance indicators (KPIs), and analytical methodologies.

• Design, implement, and interpret quantitative research studies, which encompass market testing, A/B testing, multivariate experiments, and quasi-experimental analyses.

• Construct and validate statistical models addressing customer behavior, sales performance, promotional effectiveness, and other business inquiries.

• Perform hypothesis testing, regression analysis, forecasting, segmentation, and other sophisticated analytical approaches.

• Convert analytical outcomes into business narratives that convey insights, risks, assumptions, and recommendations.

• Collaborate with clients and cross-functional teams to pinpoint optimization opportunities and craft data-informed go-to-market strategies.

• Remain updated on analytical best practices, statistical methodologies, consumer insights research, and industry trends.

• Gather, integrate, cleanse, transform, and validate extensive datasets while maintaining data quality and integrity.

• Create reproducible analytical workflows and documentation for measurement, research, and reporting initiatives.

• Engage in client meetings, internal strategy discussions, and occasional field ride-alongs.

• Employ Python, R, SQL, and visualization tools to conduct analyses and present findings.

⛳️ Requirements

• Bachelor’s degree in Statistics, Economics, Mathematics, Data Science, Analytics, Market Research, or a related quantitative discipline.

• 3–5 years of experience in analytics, consumer insights, market research, data science, or a similar quantitative position.

• Proven experience in utilizing statistical methods to address business challenges and influence decision-making processes.

• Familiarity with designing and analyzing experiments, including A/B testing, test/control methodologies, multivariate testing, or other research frameworks.

• Strong grasp of hypothesis testing, confidence intervals, sampling methods, significance testing, regression analysis, and model validation.

• Proficient in Python, R, SPSS, or other statistical software.

• Intermediate to advanced SQL proficiency and experience handling large, complex datasets from various sources.

• Experience with predictive analytics, forecasting, segmentation, driver analysis, or other advanced modeling techniques is preferred.

• Strong data preparation abilities, including data cleaning, transformation, validation, and quality assurance.

• Capability to translate complex analytical results into actionable business recommendations for both technical and non-technical audiences.

• Experience in developing measurement frameworks, KPIs, and analytical methodologies.

• Exceptional analytical thinking, intellectual curiosity, and problem-solving abilities.

• Experience managing multiple projects in a dynamic and ambiguous environment.

• Intermediate to advanced Excel capabilities, including formulas, pivot tables, and data analysis functions.

• Familiarity with Power BI, Tableau, Looker, or other visualization tools.

• Awareness of emerging analytical methods, market research techniques, consumer behavior trends, and industry best practices.

• Willingness to learn the business, comprehend client objectives, and identify opportunities for measurement, analytics, and strategic insights.

🏝️ Benefits

• Equal Opportunity Employer

• Disability accommodations provided as required by law