Technical Lead – Analytics

1 week ago


Bengaluru, Karnataka, India VALENTA Full time ₹ 12,00,000 - ₹ 15,00,000 per year
Job Information

Industry

Technology

Current Openings

1

Job Type

Full time

Work Experience

5-7 years

Date Opened

10/23/2025

Salary

12 to 15 LPA

City

Bangalore

State/Province

Karnataka

Country

India

Zip/Postal Code

560092

Job Description

Job Title: Technical Lead – Analytics

Role Overview:

We are seeking an experienced Technical Lead to oversee the technical delivery and solution architecture for data analytics and engineering projects within our Analytics Department. The ideal candidate will bring strong technical expertise in SQL, Python, Azure Data Flows, and Power BI, combined with hands-on experience guiding teams through end-to-end project execution — from data ingestion and transformation to visualization and reporting.

This is a senior, client-facing role responsible for providing technical direction, mentoring the team, and ensuring high-quality delivery across multiple projects.

Key Responsibilities:

  • Lead the design and development of scalable data solutions, including ETL pipelines, data models, and reporting frameworks.
  • Provide day-to-day technical guidance to a team of Data Engineers and Data Analysts, ensuring alignment with project goals and timelines.
  • Collaborate with Project Managers and clients to translate business needs into technical specifications and actionable insights.
  • Oversee data pipeline development and maintenance using SQL and Azure Data Flow / Data Factory.
  • Support analytics and visualization initiatives using Power BI (and other BI tools where applicable).
  • Review deliverables, perform code and data quality checks, and ensure adherence to best practices.
  • Troubleshoot complex data or integration issues and propose effective solutions.
  • Coordinate with cross-functional teams to manage dependencies and ensure smooth execution.
  • Contribute to the technical roadmap, define standards, and drive process improvements across the analytics function.
  • Balance time effectively across multiple ongoing projects (~60–70% on core analytics projects and ~30–40% on other initiatives).
Requirements
Required Skills & Experience
  • 6+ years of hands-on experience in Data Engineering, Data Analytics, or related technical roles
  • Strong expertise in SQL, Python, and Azure Data Flows / Data Factory
  • Working knowledge of Power BI or similar visualization tools
  • Proven experience in leading or mentoring small technical teams
  • Exposure to end-to-end project delivery — from requirement gathering to deployment
  • Excellent problem-solving skills and ability to troubleshoot data and integration issues
  • Strong communication and stakeholder management skills — ability to interact confidently with clients and internal teams
  • Organized, detail-oriented, and comfortable handling multiple priorities
Preferred / Nice to Have
  • Experience with other cloud platforms (AWS, GCP) or modern data stack tools (dbt, Synapse, Snowflake, etc.)
  • Prior experience working in consulting, managed services, or client-facing analytics environments
  • Exposure to automation, scripting, or data quality frameworks
Education
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related fields
Compensation
  • Salary Range: Up to ₹15 LPA (Fixed CTC), based on experience and skill fit
  • Additional performance-based incentives may be offered for exceptional candidates
Location
  • Hybrid / Remote, Bangalore preferred
Benefits
  • Statutory Benefits: Provident Fund (PF), Group Medical Insurance, Gratuity
  • Global Client Exposure: Work directly with international clients and projects
  • Flexible Work Options: Hybrid and flexible arrangements to support work-life balance
  • International Opportunities: Relocation or travel assignments based on performance and business needs
  • Professional Development: Access to certifications, learning programs, and career growth opportunities
  • Engaging Work Culture: Inclusive, collaborative, and innovation-driven environment

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