Senior Analytics Manager

Good co India; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Good co India seeks a Senior Analytics Leader to drive strategy, deliver dashboards, and define KPI frameworks. You will mentor analysts and data scientists while translating complex business problems into measurable analytics outcomes.

The role collaborates with product, marketing, finance, sales, and operations to identify high-impact opportunities and advance forecasting, experimentation, and predictive modeling.

Qualifications

• Must have strong SQL and Python/R experience for analytics delivery.
• Proven ability to translate problems into analytical frameworks.
• Experience leading analytics teams and delivering data-driven outcomes.
• Proficiency with BI tools and data visualization platforms.
• Familiarity with cloud data platforms and data governance.

Responsibilities

• Lead analytics strategy and execution across key functions.
• Mentor a team of analysts, data scientists, and analytics professionals.
• Translate business problems into analytical frameworks and measurable outcomes.
• Own development of analytical models, dashboards, and KPI frameworks.
• Partner with cross-functional teams to identify analytics opportunities.
• Drive forecasting, segmentation, experimentation, and predictive modeling.
• Design and evaluate A/B tests to measure impact.
• Establish KPIs, metrics, targets, and performance frameworks.
• Use SQL, Python/R, statistics, and BI tools to analyze data at scale.
• Ensure outputs are accurate, scalable, and well-documented.
• Present insights and recommendations to senior leadership.
• Develop data-driven business cases to support strategic decisions.
• Collaborate with data engineering to improve data pipelines and quality.
• Identify opportunities for automation and reporting efficiency.
• Manage analytics projects, priorities, timelines, and stakeholders.
• Establish best practices, governance, and documentation.

Skills

SQL

Python/R

Data visualization

Statistics

Machine learning

Leadership

Excel

A/B testing

Communication

Stakeholder management

Education

Bachelor's degree in a quantitative field

MBA/PGDM or Master's in Data Science / Statistics

Cloud/BI certifications

Tools

Power BI

Tableau

Looker

Snowflake

Databricks

BigQuery

Redshift

Spark

Job description

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, BigQuery, 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