Job Description

Work cross-functionally with product owners, data engineers, and internal stakeholders as part of agile scrum teams to prioritize, develop, and refine data solutions. Collaborate closely with data product owners to analyze business requirements, define success metrics, and deliver trusted, high-impact enterprise data products. Design, build, and maintain Tableau dashboards and visualizations that adhere to company standards for design, consistency, and data accuracy. Analyze complex enterprise datasets to extract actionable insights that support decision-making across functions such as product, operations, and customer success. Participate in sprint planning, daily stand-ups, retrospectives, and other agile ceremonies to ensure alignment and iterative delivery of analytics solutions. Lead and perform ad-hoc analyses and deep dives to identify trends, uncover root causes, and surface data-driven recommendations. Ensure data quality, consistency, and governance across analytical outputs, working closely with data engineering on data modeling and ETL design. Innovate and explore applications of AI and machine learning to enhance data products, optimize analytics workflows, and unlock new insights from enterprise data. Document analytical solutions and share best practices to drive data literacy and analytical maturity across the organization. Influence peers and the broader Data & Analytics (D&A) organization on best practices in data analysis, agile delivery, data governance, and visualization standards. Mentor junior analysts and contribute to the continuous improvement of data analytics tools, standards, and processes. Requirements 6-10 years of experience in data analytics or a related role. Proven track record of delivering enterprise data solutions that drive business value. Strong experience with data visualization tools, data lakes, data warehouses, and cloud platforms (e.g., AWS , Azure, GCP, Tableau, Snowflake , etc.). Strong business acumen, relationship building, and superlative communication skills Expertise in data modeling, analytics, and visualization. Strong SQL and Python coding knowledge. Excellent communication, presentation, and stakeholder management skills. Strong analytical mindset with attention to detail. Ability to work in a dynamic, challenging environment where decisions you make will have a large impact Get-it-done mindset. You re not afraid to take risks, you re humble and scrappy! Experience working within an agile scrum framework Preferred Qualifications: Experience in the technology sectors including business to business. Bachelor s / Master s degree in computer science, data science, etc. Creative, innovative and solution design thinking: You evaluate things holistically and think through the objectives, impacts, best practices, and what will be simple and scalable Excellent critical thinking, problem solving and analytical skills with a keen attention to detail. Strong team player: ability to lead peers in accomplishment of common goals.