Lead Data Science Analyst

Lead Data Science Analyst Oak Brook, IL – Onsite 3 days per week This role will play a crucial role in supporting and advancing our business by translating data and analytics into business impact. This position is unique as it partners very closely with our business units, offering a hands-on opportunity to influence business strategies and decisions directly. The Lead Data Science Analyst is responsible for reporting and analysis capabilities to proactively generate insights that optimize strategic choices. This role collaborates with a broad group of Product Managers, Decision Intelligence, Connected Services, Marketing, and Finance stakeholders through modeling, analysis, experimentation, and data-driven recommendations that provide critical insights to drive informed decision-making. This role demands acute business acumen complemented by strong technical analytical skills. Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Identify trends, opportunities, and challenges within business operations. Proactively generate hypotheses that could improve business results by leveraging data-supported analysis. Proactively produce executive-level verbal and written analyses, insights, and reports that support data-driven recommendations. Develop a deep understanding of relevant data from various data platforms. Translate complex business requirements into analytical frameworks. Apply structured testing approaches to evaluate marketing initiatives across channels, uncover insights, and guide strategic decision-making through rigorous data analysis. Analyze customer journeys, funnel conversion, and cohort behavior to identify growth opportunities. Utilize SQL to extract, manipulate, integrate, and analyze large datasets. Create compelling visualizations and dashboards using tools like Power BI to communicate insights to stakeholders. Ensure data accuracy and integrity in all analytics and reporting. Drive the importance of data collection and creating meaningful tests to measure incremental growth. Analyze and interpret complex data to provide actionable insights that support business objectives. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Requirements Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework 3+ years of experience in an analytics role, preferably in marketing and growth analytics 3+ years working with SQL or Python 2+ years of hands-on experience designing and analyzing large scale A/B tests and interpreting results in a business context 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools Bonus points Experience with Databricks Experience with Azure (AWS, GCP okay too) Experience with IoT, SaaS, and/or intelligent consumer products & services Experience with Salesforce, SAP, and CDP platforms such as Tealium Experience setting up temporary, easy-to-understand data views in Azure that allow business teams to run their own reports and analysis without needing IT help

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