Director Analytics at STREAMVECTOR INC D B A SIGMOID ANALYTICS

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Consulting, Predictive Analytics, Generative AI, DataOps, Business Intelligence, Team Management, Delivery Management, Customer Handling, Strategic Insight, BI Solutions, Power BI, Tableau, Qlik, SQL, ETL Frameworks

Industry

Business Consulting and Services

Description

About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Director - Data Analytics: This role will be a leadership position in the data science group at Sigmoid. An ideal person will come from a services industry background with a good mix of experience in solving complex business intelligence and data analytics problems, team management, delivery management and customer handling. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. The role is part of the leadership team and includes accountability for a part of her/his team and customers. The person is expected to be someone who can contribute in developing the practice with relevant experience in the domain, nurturing the talent in the team and working with customers to grow accounts. Responsibilities Include Build trust with senior stakeholders through strategic insight and delivery credibility. Ability to translate ambiguous client business problems into BI solutions and ability to implement them. Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal. Ensure scalable, high-quality deliverables aligned with business impact. Help recruiting and onboarding team members; directly manage 15 - 20 team members. You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers. Experience and Qualifications 15+ years of overall experience with a minimum of 10+ years in data analytics execution. Strong organizational and multitasking skills with the ability to balance multiple priorities. Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, other departments and partners. Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks) and data modeling. Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes. Expertise in managing compliance, access controls, and data quality frameworks is a plus. Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus. Strong problem-solving skills and ability to prioritize conflicting requirements. Excellent written and verbal communication skills and ability to succinctly summarize the key findings.

Responsibilities

This leadership role involves building trust with senior stakeholders through strategic insight and delivery credibility, and translating ambiguous client business problems into implementable BI solutions. Responsibilities also include overseeing multi-client BI and analytics programs and ensuring high-quality, scalable deliverables aligned with business impact.