This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Women Tech Lead — Data Analytics based in India.

This role is designed for a women technology leader who is passionate about using data to drive meaningful business impact while leading and mentoring high-performing analytics teams. You will operate at the intersection of data, strategy, and execution, translating complex datasets into clear, actionable insights that guide decision-making across the organization. The environment is collaborative, fast-paced, and highly mission-driven, with a strong emphasis on inclusion and empowering women in tech. As a Tech Lead, you will oversee analytics delivery end-to-end, ensuring quality, timeliness, and relevance of insights. You will also play a key role in shaping data strategies, improving analytics capabilities, and driving adoption of modern tools and practices. This position offers the opportunity to influence business outcomes directly while building and guiding a growing data team in a fully remote setup.

Accountabilities

Lead, mentor, and support a team of data analysts and data professionals to deliver high-quality, actionable insights.
Define and implement data analytics strategies aligned with business goals and organizational priorities.
Identify trends, patterns, and insights from complex datasets to support data-driven decision-making across teams.
Collaborate with cross-functional stakeholders to design, develop, and deploy effective data solutions and dashboards.
Manage analytics projects end-to-end, ensuring timely delivery within scope and budget constraints.
Ensure adherence to data governance, quality standards, and data privacy requirements.
Present insights, reports, and recommendations clearly to technical and non-technical stakeholders.
Stay updated with emerging analytics tools, technologies, and industry best practices to continuously improve capabilities.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
2-10 years of experience in data analytics, business intelligence, or related roles, including team leadership exposure.
Strong hands-on experience with SQL for querying, data extraction, and database understanding.
Proficiency in data visualization and analytics tools such as Power BI, Tableau, Qlik, Looker, or Excel.
Experience working with Agile/Scrum methodologies, including sprint planning and execution.
Familiarity with ticketing systems such as ServiceNow, Jira, or Zendesk.
Strong leadership, communication, and stakeholder management skills with the ability to influence decisions.
Ability to work independently in a remote setup and adapt to evening shift requirements.
Strong analytical thinking, problem-solving ability, and attention to detail.

Benefits

Fully remote work environment with structured evening shift scheduling.
Competitive compensation aligned with experience and market standards in India.
Opportunity to lead and grow within a high-impact data analytics team.
Inclusive workplace strongly focused on supporting women in technology, including professionals returning from career breaks.
Exposure to modern data tools, frameworks, and enterprise analytics practices.
Opportunity to influence business strategy through data-driven decision-making.
Collaborative, supportive, and growth-oriented team culture.
Career development and upskilling opportunities in analytics and leadership.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Women Tech Lead Data Analytics