BI Reporting Analyst IV

About the Role

Key Responsibilities

• Performs business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).
• Determines best practices and develops actionable insights and recommendations for the current business operations.
• Works directly with the internal or external client to identify analytical requirements.
• May help to produce ad hoc data and reports.
• May assist in implementing or developing systems to capture business operation information.
• May occasionally guide less experienced business data analysts.

Requirements

• Bachelor's degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or a related quantitative field required; Master's degree in Data Analytics, Business Intelligence, or Marketing Analytics is a plus; Equivalent work experience in data analysis or marketing reporting may be considered in place of formal education.
• SQL proficiency: Writing complex queries to extract, join, and transform data from relational databases.
• Data visualization tools: Expertise in tools like Qlik Sense for building dashboards and reports.
• ETL knowledge: Familiarity with data pipelines and tools (e.g., Superglue, Alteryx, Informatica, dbt, Airflow).
• Statistical analysis: Understanding of statistical methods, A/B testing, regression analysis, and forecasting.
• Marketing & Business Knowledge: Understanding of KPIs such as CTR, CPC, ROAS, LTV, conversion rates, and funnel analysis.
• Channel expertise: Familiarity with key digital marketing channels, including SEO, social media, email marketing, and affiliate programs.
• Attribution modeling: Knowledge of multi-touch attribution and marketing mix modeling.
• Dashboard creation: Designing user-friendly, automated dashboards for marketing stakeholders.
• Data storytelling: Translating raw numbers into clear insights and recommendations.
• Data governance: Ensuring accuracy, consistency, and compliance with data standards.
• KPI frameworks: Defining and maintaining standardized marketing metrics and reporting structures.
• Soft Skills: Communication skills for explaining complex data findings and collaboration skills to partner with marketing, finance, and data engineering teams.

Nice to Have

• Scripting languages: Python or R for deeper data analysis and automation.

Qualifications

• Educational background as specified in requirements.

Benefits & Perks

• Comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
• Paid time off for salaried personnel.
• Paid sick leave for hourly employees on applicable projects.