Data Analysis Team Lead

Aceolution India; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Opportunity to lead impactful analytics initiatives

Mentorship and development opportunities

Job summary

Aceolution India is seeking an experienced Data Analysis Team Lead to join our analytics team in Hyderabad. The ideal candidate will manage complex data tasks, mentor a team, and provide insights through data visualization and reporting tools.

With over 6 years in data analytics, proficiency in SQL and tools like Tableau or Power BI, and strong leadership skills, you will drive data-driven decisions across the organization.

This is your chance to foster growth and innovation in a collaborative environment.

Qualifications

• 6+ years of experience in Data Analytics, Business Intelligence, or related field.
• Experience in a senior or leadership role.
• Strong understanding of data warehousing, large-scale datasets.

Responsibilities

• Write and optimize complex SQL queries and ETL processes.
• Design and maintain interactive dashboards and reports.
• Lead and mentor a team of data analysts.

Skills

SQL proficiency

Data Visualization

Analytical problem solving

Leadership

Communication skills

Education

Bachelor's or Master’s in Statistics, Mathematics, Computer Science or related

Tools

Tableau

Power BI

Looker

Job description

Job Summary

We are seeking an experienced and results-driven Data Analysis Team Lead to join our growing analytics team. The ideal candidate will possess strong analytical capabilities, excellent leadership skills, and a passion for transforming complex data into actionable business insights. This role involves working with large-scale datasets, developing impactful dashboards and reports, collaborating with cross‑functional stakeholders, and mentoring a team of analysts to support data‑driven decision‑making across the organization.

Key Responsibilities

Data Extraction, Processing & Analysis

• Write, execute, and optimize complex SQL queries, stored procedures, and ETL processes.
• Extract, clean, transform, validate, and analyze data from multiple sources, including databases, APIs, and flat files.
• Ensure data accuracy, consistency, and integrity by identifying and resolving data quality issues.
• Perform exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Develop and maintain scalable data models and analytical frameworks.

Reporting & Data Visualization

• Design, develop, and maintain interactive dashboards and reports using tools such as Tableau, Power BI, Looker, or similar platforms.
• Present complex data in a clear, concise, and visually compelling manner for technical and non‑technical stakeholders.
• Automate recurring reports and dashboards to improve efficiency and reduce manual effort.
• Monitor key business metrics and provide regular performance insights.

Business Partnership & Stakeholder Management

• Translate analytical findings into actionable recommendations that support strategic business decisions.
• Collaborate with stakeholders across departments including Product, Operations, Marketing, Finance, and Business Leadership.
• Define, track, and report on key performance indicators (KPIs) and business metrics.
• Prepare and deliver insightful presentations to senior leadership and cross‑functional teams.
• Serve as a subject‑matter expert for data analysis and business intelligence initiatives.

Team Leadership & Mentorship

• Lead, mentor, and support a team of data analysts by providing technical guidance and professional development opportunities.
• Conduct code reviews and ensure adherence to data analytics best practices.
• Drive continuous improvement in analytical methodologies, reporting processes, and data governance standards.
• Foster a culture of innovation, collaboration, and data‑driven decision‑making.
• Stay informed about emerging trends, tools, and technologies in analytics, business intelligence, and data science.

Required Qualifications

• Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, Data Science, or a related quantitative discipline.
• 6+ years of progressive experience in Data Analytics, Business Intelligence, or a related field, including experience in a senior or leadership role.
• Strong proficiency in SQL for data extraction, transformation, and analysis.
• Hands‑on experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or equivalent.
• Strong understanding of data warehousing concepts, data modeling, and large‑scale datasets.
• Excellent analytical, problem‑solving, and critical‑thinking skills.
• Strong communication and presentation skills with the ability to explain technical concepts to non‑technical audiences.
• Proven ability to lead teams, mentor analysts, and manage multiple projects simultaneously.

Preferred Qualifications

• Prior experience working in Google or PLX environments.
• Experience with cloud platforms, particularly Google Cloud Platform (GCP).
• Familiarity with Big Data technologies and modern analytics ecosystems.
• Knowledge of data governance, data security, and compliance best practices.
• Exposure to Python, R, or other analytical programming languages is an added advantage.

Key Competencies

• Leadership & Team Management
• Strategic Thinking
• Stakeholder Management
• Data Storytelling & Visualization
• Business Acumen
• Problem Solving & Decision Making
• Continuous Learning & Innovation

Why Join Us?

• Opportunity to lead impactful analytics initiatives that drive business growth.
• Work with large‑scale datasets and modern analytics technologies.
• Collaborate with cross‑functional teams and senior leadership.
• Mentor and develop a growing team of data professionals.
• Contribute to building a strong data‑driven culture within the organization.