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Job Description Project Details: Job Title: Senior Data Analyst Location: 100% Remote Duration: 6+ Months Contract Job Brief: - As a Senior Data Analyst, you'll be at the forefront of fostering a data-driven culture across our organization. Your role extends beyond traditional data analysis; you'll play a pivotal role in extracting actionable insights from complex datasets to drive strategic decisions and enhance product development. You will collaborate closely with cross-functional teams, leveraging your analytical expertise to identify trends, uncover opportunities, and optimize the performance of our platform. By stewarding the adoption of data-driven practices and providing guidance, you'll empower teams to embrace data as a strategic asset, influencing how we approach decision-making and driving innovation throughout the organization. - This role presents an exciting opportunity to contribute to our company's growth by leveraging the power of data-driven decision-making and cultivating a culture where data informs our future success. - Our Advanced Analytics team is the heartbeat of data-driven decision-making within our P&T division. - We're a passionate group of individuals dedicated to unlocking the full potential of data to fuel innovation and enhance product development. Beyond our core data analysis and insights generation responsibilities, we're committed to democratizing analytics within our organization. - We're on a mission to increase the analytics capabilities of every member of our P&T teams, from product managers to engineers. - Through stewardship and ongoing support, we're empowering our colleagues to harness the power of data in their roles, ultimately fostering a more informed and agile organization. Joining our team means being part of a collaborative environment where your expertise will drive meaningful change and contribute to building a stronger, more data-driven future for our company. Responsibilities: - Analyze large, complex datasets to extract actionable insights and inform strategic decision-making within P&T. - Develop and maintain advanced analytics models to optimize product performance and user experience. - Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions. - Design and implement experiments to test hypotheses and evaluate the effectiveness of product enhancements. - Assist product teams in transitioning towards self-service analytics, enabling them to leverage data independently for decision-making. In contrast, the analytics team focuses on advanced analytics, forecasting, A/B testing, and other strategic initiatives. - Work directly with decision-makers and product team directors to understand their analytical needs, provide guidance, and deliver actionable insights. - Create KPIs from scratch for product teams, aligning them with business objectives and ensuring measurable success metrics. - Collaborate closely with engineers to ensure data integrity, implement tracking solutions, and optimize data pipelines for efficient analysis. Requirements: - Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field; advanced degree preferred. - 5+ years of experience in a data analysis role, preferably within the software industry. - Proficiency in SQL for data manipulation and extraction. - Strong analytical skills with the ability to derive insights from complex datasets. - Experience with data visualization tools like Tableau, Power BI, or similar. - Familiarity with statistical analysis and modeling techniques. - Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences. - Proven track record of driving business impact through data-driven decision-making. - Ability to thrive in a fast-paced, collaborative environment and effectively manage multiple priorities. - Experience with programming languages such as Python or R is a plus. Must Haves: - 6-10+ years of experience in a data analysis role, preferably within the software industry. - Proficiency in SQL for data manipulation and extraction. - Experience with data visualization tools like Tableau, Power BI, or similar. - Familiarity with statistical analysis and modeling techniques.