3-5 Years Proficient in using tools like Python, R, SQL, and data visualizations (e.g., Power BI, Tableau) to analyze and present data insights effectively. Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.


Data Analytics Analyst

What You ll Do

• Build clear, compelling Power BI dashboards and reports that make actionable insights visible and speed up decision-making.
• Analyze operational and business data to uncover trends, patterns, and actionable insights.
• Detect anomalies and inconsistencies, validate data quality, and partner with teams to resolve root causes.
• Translate business questions into analytical approaches, asking great questions, forming hypotheses, and testing them with data.
• Communicate findings to teammates, stakeholders, internal customers, and leadership tailoring the message to the audience.
• Collaborate cross-functionally to define metrics, streamline reporting, and identify out-of-the-box solutions to real problems.

What You Bring

• Strong Power BI skills - build and maintain dashboards, connect to data sources, manage refreshes, and publish/share content with appropriate access controls.
• Strong Excel skills clean, organize, and maintain tables to support analysis.
• A passion for solving problems, finding creative, practical solutions, and continuously improving how work gets done.
• Strong ability to identify patterns, spot inconsistencies, and explain what they mean in plain language.
• Excellent written and verbal communication skills; comfortable presenting insights and recommendations.
• Ability to partner effectively across teams and levels from frontline operators to leadership.
• High ownership mindset, curiosity, and the persistence to follow the data to the truth.

Nice to Have

• Hands-on familiarity with Databricks running notebooks/jobs, working with tables, visualizations, and troubleshooting common refresh/job issues (a plus).
• Experience creating Power Apps, Power Automate flows, and Copilot agents to streamline work (a plus).
• Experience working in fast-paced, cross-functional environments where priorities shift and impact matters.

Work Location

• This role is in-office four (4) days per week. We believe the best problem-solving happens when analysts and operators can collaborate quickly, whiteboard ideas, and turn insights into action.
  Ready to make the data tell its story? Apply now and show us how you turn ambiguity into clarity, and insights into outcomes.
  As part of the application process, you ll tackle a few questions using a pre-selected dataset.