Data Analyst

Position Summary

We are seeking a hands-on Data Analyst to partner closely with product, business, and technology teams to deliver actionable insights that drive customer engagement, digital adoption, and business performance. In this individual contributor role, you will transform customer, transaction, and digital interaction data into meaningful metrics, dashboards, and recommendations that support strategic decision-making.

The ideal candidate combines strong analytical and technical skills with the ability to communicate findings clearly to business stakeholders. This role will be responsible for developing reporting solutions, measuring program performance, identifying opportunities for optimization, and ensuring data quality across multiple data sources.

Key Responsibilities

• Partner with product managers, business leaders, and cross-functional stakeholders to define KPIs, establish measurement frameworks, and evaluate business outcomes.
• Build and maintain analytical datasets and reporting structures using SQL and Python within modern cloud-based data platforms.
• Develop and maintain dashboards, scorecards, and recurring reports to monitor customer engagement, digital performance, operational metrics, and business trends.
• Measure the effectiveness and incremental impact of promotions, marketing campaigns, product enhancements, and customer-focused initiatives using analytical methodologies such as cohort analysis and test-versus-control comparisons.
• Analyze digital engagement and customer behavior data alongside transactional and operational data to identify trends, opportunities, and areas for improvement.
• Perform ad hoc analyses and deep-dive investigations to answer key business questions and support strategic initiatives.
• Identify, troubleshoot, and communicate data quality issues to ensure accurate and reliable reporting.
• Document analytical methodologies, metric definitions, data models, and reporting processes to support consistency and scalability.
• Collaborate with data engineering, product, technology, and business teams to improve data accessibility and reporting capabilities.

Expectations

• Full-time contract position.
• Collaborate effectively within a cross-functional team environment and participate in regular project, planning, and stakeholder meetings.
• Manage multiple priorities and deliver high-quality insights within established timelines.
• Adhere to data governance, privacy, and information security standards when handling sensitive business and customer data.
• Maintain clear documentation and communicate project updates, risks, and findings to stakeholders.

Years of Experience

• 3-5+ years of experience in data analytics, product analytics, business intelligence, or a related analytical discipline.
• 3+ years of experience writing SQL queries against large-scale datasets in cloud or enterprise data environments.

Required Qualifications (Non-Negotiable)

Top 3 Must-Haves

• 3+ years of advanced SQL experience, including joins, window functions, subqueries, and CTEs, within modern cloud-based data platforms.
• Experience developing and maintaining dashboards and reporting solutions using Power BI, Tableau, or similar BI tools.
• Hands-on experience analyzing customer, transactional, operational, or digital product data to measure KPIs and business performance.

Additional Requirements

• Proficiency in Python for data analysis and data manipulation (Pandas or similar libraries).
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into actionable recommendations.
• Experience validating data, reconciling data sources, and ensuring reporting accuracy.
• Excellent written and verbal communication skills with the ability to present insights to both technical and non-technical audiences.
• Demonstrated ability to work independently while managing competing priorities in a fast-paced environment.

Preferred Qualifications

• Experience with product analytics platforms such as Mixpanel, Amplitude, Google Analytics, Adobe Analytics, or similar tools.
• Experience designing and evaluating experiments, including A/B testing and incrementality measurement methodologies.
• Experience supporting customer engagement, loyalty, subscription, e-commerce, marketing, or digital product initiatives.
• Familiarity with Databricks, Snowflake, Azure Data Platform, AWS data services, or comparable cloud-based analytics environments.
• Experience with version control tools such as Git.
• Familiarity with Agile methodologies, Jira, and modern software development practices.
• Experience leveraging AI-enabled productivity and analytics tools.

Education & Certifications

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Computer Science, Information Systems, or another quantitative discipline, or equivalent professional experience.
• Master's degree in Analytics, Data Science, Business Analytics, or a related field preferred.
• Relevant certifications such as Microsoft Power BI (PL-300), Databricks, Snowflake, Azure Data Fundamentals, or comparable analytics certifications are a plus.

Preferred Industry Experience

Experience in one or more of the following industries is preferred:

• Retail
• Consumer Products
• E-Commerce
• Digital Products & Mobile Applications
• Loyalty & Customer Engagement Programs
• Hospitality
• Financial Services
• Telecommunications
• Technology
• Marketing Analytics