Data Analyst

Job Title: Data Analyst Location: Remote Job Type: Long Term Contract (12+ months) Job Pay: 55-60 hourly Job Summary: Our Enterprise Client is seeking a Loyalty Analytics & Data Science Consultant to support the ongoing evolution of our enterprise loyalty analytics and simulation platform. This role will focus on helping the Loyalty organization evaluate program changes, forecast loyalty tier growth, analyze customer behavior, and support strategic experimentation initiatives across the enterprise cruise line portfolio. This consultant will partner closely with loyalty business stakeholders, data science leadership, and analytics teams to enhance and adapt an existing simulation engine used to model loyalty program impacts through future planning horizons. The ideal candidate combines strong analytical problem solving, statistical experimentation knowledge, Python-based data science capabilities, and the ability to work with large-scale datasets in an enterprise environment. This is a long-term contractor opportunity supporting a highly visible business initiative with significant runway for future extensions. Job Responsibilities Loyalty Analytics & Simulation Support • Support and enhance the client’s loyalty simulation platform used to forecast loyalty tier growth, customer movement, and financial impacts of loyalty program changes. • Adapt and refine existing simulation models to evaluate new loyalty initiatives, customer benefits, status matching programs, and cost optimization strategies. • Translate business questions into analytical approaches that help loyalty stakeholders make data-driven decisions. Exploratory Data Analysis (EDA) • Perform exploratory and descriptive analytics on large-scale customer and loyalty datasets. • Identify trends, anomalies, behavioral patterns, and actionable insights to support strategic business initiatives. • Develop clear visualizations and analytical summaries for business and technical stakeholders. Machine Learning & Predictive Modeling • Work with existing machine learning models and analytical frameworks to improve forecasting accuracy and business usability. • Modify, tune, and optimize existing models rather than building models entirely from scratch. • Support model validation, testing, and deployment readiness within enterprise analytics workflows. Statistical Experimentation & A/B Testing • Support experimentation initiatives for loyalty and personalization programs. • Assist with A/B testing design, power analysis, sample sizing, matched pair testing, and statistical evaluation of experiment results. • Partner with stakeholders to determine whether business interventions drive measurable incremental value. Large Scale Data Processing • Work with large datasets using Python-based tools such as PySpark, Spark, Pandas, Polars, SQL, or similar technologies. • Contribute to scalable analytical workflows within Databricks and Azure-based environments. Required Experience • 2–4 years of hands-on experience in data analytics, data science, machine learning, or statistical analysis roles. • Strong Python programming experience with the ability to write clean, scalable analytical code. • Experience performing exploratory data analysis (EDA) and working with large, complex datasets. • Exposure to enterprise-level machine learning projects and production analytics workflows. • Experience supporting statistical experimentation, A/B testing, or experimental design initiatives. • Ability to work independently with limited oversight while collaborating effectively across teams. Preferred Experience • Experience with PySpark, Spark, Databricks, Azure, or distributed data processing environments. • Background supporting loyalty, hospitality, travel, retail, marketing, or customer analytics programs. • Experience deploying or maintaining machine learning models in production environments. • Familiarity with: • Power analysis • Sample sizing • Hypothesis testing • Matched pair analysis • Statistical significance testing • Exposure to enterprise experimentation frameworks or personalization initiatives. Technical Skills • Python • SQL • Pandas / PySpark / Spark • Databricks • Azure analytics ecosystem • Machine learning fundamentals • Statistical analysis and experimentation • Git/version control EEO Statement: Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Benefits & Perks Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.