Senior Manager, Data Analytics at Sumo Logic

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Leadership, SQL, Python, R, Data Visualization, Statistical Analysis, Predictive Modeling, Machine Learning, Collaboration, Communication, Business Intelligence, KPI Development, Data Governance, Storytelling, Data Literacy

Industry

Software Development

Description

Senior Manager, Data Analytics We are seeking an experienced and strategic Senior Data Analytics Manager to lead our data analytics team and drive data-informed decision-making across the organization. The ideal candidate is a passionate leader with a strong background in analytics, data visualization, statistical methodologies, and cross-functional collaboration. As a key member of our data team, you will oversee the development of analytical frameworks, guide the execution of analytical projects, and help shape our overall data strategy to support business growth and performance. Responsibilities Lead and mentor a team of data analysts, fostering a high-performance, responsive and collaborative culture. Own the end-to-end analytics lifecycle: from identifying data needs, building models, and delivering actionable insights. Partner with business stakeholders (marketing, product, finance, operations, etc.) to understand key objectives and deliver impactful data solutions. With stakeholders to establish KPIs and metrics frameworks to measure business performance, then monitor KPIs and performance metrics to assess the health of the business and identify opportunities for growth or operational efficiency. Lead the development and implementation of advanced analytics solutions including forecasting models, customer segmentation, and performance dashboards, using predictive modeling, machine learning and statistical methods Define and implement data analytics standards, methodologies, and best practices Collaborate with IT and data engineering teams to ensure data quality, integrity, accessibility, and governance Translate complex data into clear, concise, and actionable business insights through storytelling and data visualization. Communicate findings and recommendations to executive leadership and key stakeholders. Champion data literacy and analytics capabilities throughout the organization Required Qualifications and Skills Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field. MBA preferred. 7+ years of experience in data analytics or business intelligence, with at least 2 years in a leadership or managerial role. Strong proficiency in SQL and one or more scripting languages such as Python, R. Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. Solid understanding of statistical analysis, A/B testing, predictive models, and machine learning techniques. Ability to think strategically as well as execute with attention to detail. Strong leadership, communication, and interpersonal skills with the ability to influence stakeholders at all levels. Proven track record in delivering analytics projects that drive business impact. Solid knowledge of business processes (e.g. Sales, Marketing, Finance etc.) and systems (e.g. Salesforce, Marketo, Netsuite etc.) used in enterprises About Us Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com. Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

Responsibilities

Lead and mentor a team of data analysts while overseeing the end-to-end analytics lifecycle. Collaborate with business stakeholders to establish KPIs and deliver impactful data solutions.