Tech Lead - Data Analytics

As a Women Tech Lead in Data Analytics at Bloomfieldx, you will be the primary point of contact between our clients and delivery team - owning client relationships, leading a team of analysts and data scientists, and driving projects from kickoff to closure.

Responsibilities

Client Handling

• Act as the main point of contact for client stakeholders, understanding requirements and translating them into actionable data strategies

• Manage client expectations proactively - status updates, escalations, and scope discussions

• Present findings, dashboards, and recommendations clearly and confidently to clients at all levels

• Build long-term client trust through consistent, reliable delivery

  Team Handling

• Lead, mentor, and manage the day-to-day performance of a team of analysts and data scientists

• Allocate work, review output quality, and support skill development within the team

• Foster a collaborative, accountable team culture across evening-shift operations

• Handle conflict resolution and performance conversations within the team

  Project Handling

• Own projects end-to-end - planning, execution, tracking, and delivery within timelines and budget

• Run sprint planning and agile ceremonies; manage tickets/tasks via ServiceNow, Jira, or similar tools

• Identify risks early and drive mitigation across cross-functional teams

• Ensure data governance, privacy compliance, and quality standards are met throughout delivery

  Must-Have Skills

• Demonstrated experience handling clients directly (requirement gathering, expectation management, presentations)

• Proven experience leading and managing a team, not just individual contribution

• Hands-on experience managing projects end-to-end, including timelines, risks, and stakeholder communication

• Excellent verbal and written communication skills

• Flexibility to work evening shifts as per business requirements

  Technical Requirements

• Ticketing System - ServiceNow (SNOW) or similar platforms (e.g., Jira, Zendesk)

• Scrum Methodology - Agile practices, sprint planning, and execution

• SQL - Query writing, data extraction, and database fundamentals

• Data Analytics / Visualization Tools - Working knowledge of any relevant tool (e.g., Power BI, Tableau, Qlik, Looker, Excel)

• Leadership Communication - Strong leadership presence with clear, client-ready communication

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.