Data Analyst

## Key Responsibilities May Include: - Analyze complex, high-volume data from various sources using diverse tools and techniques to derive actionable insights. - Develop and maintain high-quality standardized outputs, including visualizations and dashboards, that translate complex data into clear, business-relevant insights. - Respond to ad-hoc analysis requests by developing new reports or dashboards as needed, ensuring accuracy and relevance. - Support the ongoing delivery of regular KPI reports, maintaining accuracy and relevance to business needs. - Synthesize analytical findings into meaningful insights, presenting data in an easy-to-understand format for diverse business audiences. - Collaborate with cross-functional teams to understand their analytical needs, define requirements, and deliver data-driven insights that support decision-making. - Continuously seek to improve reporting processes by staying up to date on industry trends and best practices in data analysis and insight generation. - Provide technical support and training on analytical tools and methodologies to empower business stakeholders in their use of data-driven insights. ## Key Accountabilities - Utilize your inquisitive mindset, analytical skills & ask the right questions to understand complex business challenges - Develop and implement analytics aligned with the business needs and in accordance with best practices - Use Statistical experience and Business knowledge to solve complex business challenges - Interrogate, manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and analytical techniques - Build engaging and interactive visualizations using state of the art methods - Provide and concisely communicate high quality deep dive analysis with clear recommendations and actionable insight - Collaboratively work within a squad to deliver solutions by defining and designing Data Analytics tasks (for example, data requirements, output, success criteria, timescales) - Provide guidance on KPIs and best practice in reporting and analytical problem solving - Embed data analytics in Product solutions ## Skills - Experience in turning data into insight and recommendations for action. - Working across structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets - Experience in clearly communicating (verbal and written) Insight to technical and non-technical Stakeholders - 1-3+ years of Data Analytics experience - SQL - BI tools such as QlikView, Tableau, or Power BI - Understanding of Python or transferrable coding languages