Analytics Data Scientist

About the role

BRMi is seeking a motivated, customer-experience-focused analytics professional who is passionate about solving real-world business problems through data. This role combines exploratory analysis, statistical methods, experimentation, behavioral analytics, and fit-for-purpose modeling techniques to uncover insights and drive measurable impact. This position collaborates with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Areas of focus include digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, customer behavior modeling, feature adoption measurement, and operational optimization. Note: BRMi will not sponsor applicants for work visas for this position; this is a W2 opportunity only.

Responsibilities

• Analyze customer digital behavior using Python and SQL.
• Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience.
• Partner with business stakeholders and product teams to identify and solve digital experience challenges.
• Develop, automate, and maintain analytical solutions that provide actionable business insights.
• Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions.
• Apply text analytics, natural language processing (NLP), and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points.
• Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) research.
• Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.
• 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
• Proficiency in SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial.
• Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
• Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders.
• Experience working in notebook-based analytical environments.
• Strong curiosity and ability to quickly learn new analytical methods and technologies.
• Excellent communication and data storytelling skills.
• Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field preferred.
• Experience analyzing customer behavior, digital products, customer feedback, or customer experience preferred.
• Experience presenting complex analyses to executive audiences and developing decision-support materials preferred.
• Knowledge of financial services or digital banking products preferred.
• Advanced SQL and Python skills preferred.

Benefits

• Comprehensive Medical, Dental, and Vision Insurance
• Employer-Paid Life Insurance
• Employer-Paid Short-Term and Long-Term Disability Insurance
• 401(k)
• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
• Educational Assistance

Pay

100k-122k