Senior Data Analyst- Customer Analytics (Power BI, Python)

Business Intelligence Analyst

The ideal candidate will have proven experience integrating disparate data sources to deliver actionable insights, develop production-ready models, and create compelling dashboards and reports. A strong customer focus and the ability to independently manage multiple projects or workstreams are essential.

If you are passionate about turning data into business impact and thrive in a collaborative, fast-paced environment, wed love to hear from you.

Job Responsibilities:

• Collaborate with stakeholders to gather and translate business questions into actionable analytics solutions that drive customer and business impact.
• Lead end-to-end analytics projects, including scoping, data exploration, modeling, and delivery of findings through reports, presentations, and dashboards.
• Develop and maintain dashboards and visualizations in Power BI to track key performance indicators, customer metrics, and operational trends.
• Analyze customer data to uncover insights related to engagement, retention, segmentation, and lifecycle behaviors that inform business strategy.
• Design and implement predictive models (e.g., segmentation, churn propensity) using tools like Python and scikit-learn, in collaboration with engineering for production support.
• Validate data requirements and ensure accuracy, working closely with the data engineering team to ensure consistency, completeness, and usability across sources.
• Leverage tools like Python and Azure Fabric to explore and prepare data for analysis and modeling; contribute to scalable analytics workflows with guidance from the data engineer.
• Partner with cross-functional teams (Sales, Customer Success, Product) to align analytics with organizational goals and provide strategic insights.
• Stay current with analytics and BI best practices, continuously improving analytical approaches, visualization techniques, and data storytelling.

Job Requirements:

Experience

• 5–8 years of experience in

  business intelligence, data analytics

  , or a related role.
• Proven ability to deliver actionable insights from

  large, complex, and diverse datasets.

• Experience working cross-functionally with business, product, and engineering teams to support strategic initiatives.
• Familiarity with customer analytics concepts, including segmentation, churn analysis, and lifecycle metrics.

Technical Skills

• Advanced proficiency in

  Power BI, including DAX, data modeling, and dashboard

  design.
• Strong proficiency in

  Python for data analysis, statistical modeling, and automation

  .
• Experience working with Az

  ure Fabric or other modern cloud-based data platforms.

• Strong SQL

  skills for querying, joining, and transforming structured data.
• Understanding of data warehousing concepts (e.g., star schema, dimensional modeling); experience with platforms like Azure Synapse, Snowflake, or Redshift.
• Exposure to CRM platforms (e.g., Salesforce) and familiarity with version control tools (e.g., Git).

Analytical & Business Acumen

• Solid foundation in descriptive and predictive analytics, including statistical methods and machine learning.
• Ability to integrate, clean, and analyze data from disparate systems.
• Skilled in translating complex data into clear narratives, actionable insights, and strategic recommendations.

Education

• Bachelor’s degree in a quantitative, technical, or business field (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics).
• Master’s degree preferred in Business Analytics, Data Science, or a related discipline.