Senior Analytics Manager Job Columbus area,Ohio USA,IT/Tech

Role & responsibilities

Lead analytics strategy and execution across key business functions and strategic initiatives
Manage and mentor a team of analysts, data scientists, and analytics professionals
Translate business problems into analytical frameworks, actionable insights, and measurable outcomes
Own the development of analytical models, dashboards, reports, KPI frameworks, and decision-support tools
Partner with product, marketing, finance, sales, operations, and technology teams to identify high-impact analytics opportunities
Drive advanced analytics, forecasting, segmentation, experimentation, and predictive modeling initiatives
Design and evaluate A/B tests and experiments to measure the impact of products, campaigns, and business initiatives
Establish and monitor business KPIs, metrics, targets, and performance measurement frameworks
Use SQL, Python/R, statistical methods, and BI tools to analyze large and complex datasets
Ensure analytical outputs are accurate, scalable, well-documented, and aligned with business requirements
Present insights, trends, opportunities, and recommendations to senior leadership and executive stakeholders
Develop data-driven business cases and support strategic planning and decision-making
Collaborate with data engineering and platform teams to improve data availability, quality, pipelines, and analytical infrastructure
Identify opportunities for automation and improve the efficiency of recurring analytics and reporting processes
Manage analytics projects, priorities, timelines, resources, and stakeholder expectations
Establish analytical best practices, quality standards, governance, and documentation
Stay current with emerging analytics, AI, machine learning, visualization, and data technologies

Preferred candidate profile

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, Business Analytics, or another quantitative discipline
5 to 10 years of experience in analytics, data science, business intelligence, decision science, or a related field
Proven experience leading analytics teams and delivering data-driven business outcomes
Strong hands-on expertise in SQL, Python/R, Excel, statistical analysis, and data visualization
Strong understanding of statistics, probability, hypothesis testing, regression, forecasting, experimentation, and A/B testing
Experience with Power BI, Tableau, Looker, or similar BI and visualization platforms
Working knowledge of machine learning, predictive analytics, segmentation, and customer/product analytics
Experience working with large datasets and modern data platforms such as Snowflake, Databricks, Big Query, Redshift, Spark, or similar technologies
Familiarity with AWS, Azure, or Google Cloud data and analytics ecosystems
Strong understanding of data modeling, ETL/ELT, data warehousing, and data quality
Excellent business acumen with the ability to connect analytical findings to revenue, growth, cost, customer, product, or operational outcomes
Strong stakeholder management, executive communication, data storytelling, and presentation skills
Ability to influence business and technical stakeholders and drive decisions using data
Strong strategic thinking, problem-solving, prioritization, and project-management skills
Experience working in Agile, cross-functional, product-oriented environments is desirable
Experience with GenAI/AI-assisted analytics and automation is an advantage
MBA/PGDM or a master's degree in Data Science, Statistics, Economics, Computer Science, Business Analytics, or a related field is desirable
Certifications in cloud, analytics, data science, BI, or machine learning are an advantage