Top Tech Jobs & Startup Jobs

Supports resource management within Talent Acquisition by tracking availability, allocation, utilization, forecasting, and bench status. Coordinates new-hire onboarding across HR, IT, and delivery teams, maintains resource dashboards, maps bench skills to project opportunities, and helps reduce bench time. The six-month internship is intended for freshers and may convert to full-time employment based on performance and business needs.

Provides high-level administrative, operational, and strategic support to executive leadership. Responsibilities include complex calendar and meeting management, domestic and international travel coordination, executive communications, expense reporting, banking and financial administration, confidential information handling, and cross-functional project coordination.

Leads end-to-end data science and AI analytics programs, combining hands-on modeling with technical team leadership and client engagement. Develops predictive models, statistical analyses, scalable data solutions, and data science roadmaps. Manages project delivery, timelines, utilization, stakeholders, and audits while advising clients on technology strategy and investments. Supports product development, sales, and presales activities across retail, pharma, banking, and insurance domains.

Lead client-facing analytics projects, translate business problems into analytical frameworks, conduct statistical and quantitative analyses, and develop visualization and business intelligence solutions. Manage data analysts and collaborate with data scientists and engineers to embed AI and analytics into business processes. Responsibilities include data preparation, modeling, cross-tabulation, reporting, process mapping, client engagement, and communicating insights across industries.

Leads the CPG Supply Chain Analytics practice through client engagement leadership, team development, solution innovation, and practice growth. Responsibilities include advising senior client stakeholders, developing AI, machine learning, optimization, and generative AI solutions, shaping go-to-market strategy, reviewing analytical designs, mentoring consultants, and driving solutions into production. The role requires strong supply chain analytics consulting expertise, customer leadership, stakeholder management, and thought leadership.

Develops Power BI dashboards, reports, data models, DAX calculations, and analytical solutions. Translates client business requirements into KPIs, workflows, and actionable insights; assesses data quality; optimizes report performance; and presents findings through visualization and storyboarding. Collaborates with data scientists, engineers, and stakeholders to integrate analytics into business processes.

Perform advanced data analysis, visualization, and business intelligence work for clients across industries. Translate business problems into analytical structures, apply statistical and machine learning techniques, map business processes, generate data outputs, interpret quantitative results, and collaborate with data science and engineering teams. The role also manages data analysts, supports client engagements, and helps embed analytics and AI into business decision-making.

Leads Sigmoid’s Revenue Growth Management and commercial analytics consulting practice. Responsibilities include identifying client opportunities, shaping pricing and promotion solutions, leading product-market fit and go-to-market strategy, developing scalable analytics offerings, managing strategic client relationships, and owning practice growth, profitability, hiring, mentoring, and delivery quality.

Manage analytics projects and teams delivering data analysis, visualization, business intelligence, statistical modeling, and machine learning solutions. Engage clients to understand business needs, map processes, translate problems into analytical frameworks, generate data outputs, conduct quantitative analyses, and interpret results. Collaborate with data scientists and engineers to embed analytics and AI into business decision-making.

Develop and maintain Tableau dashboards, visualizations, reports, and BI solutions. Gather requirements from clients and stakeholders, define KPIs and metrics, analyze business processes, and translate business needs into analytical solutions. Perform SQL-based analysis, dashboard quality checks, validation, documentation, and data governance. Collaborate with Data Engineering teams, present insights through storyboarding, document meetings, and track work using JIRA.