Analytics Lead

Prescienceds; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Competitive pay

Bonuses

Growth opportunities

Job summary

Prescience Decision Solutions is seeking an Analytics Lead to combine data engineering with analytics excellence. You will lead a small team, deliver high-quality analytics, and build trusted stakeholder relationships across the business.

You will guide analytics delivery end-to-end, transform business questions into analytical solutions, and continuously improve data quality and reporting processes while collaborating with Engineering, Product, and Operations teams.

Qualifications

• 6–9 years of experience spanning data engineering and analytics disciplines.
• Strong SQL skills with Snowflake experience and DBT for modelling and transformation.
• Experience owning and delivering analytics outputs to clients or senior stakeholders.
• Experience leading or mentoring a small team and maintaining delivery quality.

Responsibilities

• Develop insights from structured and unstructured data to support decisions.
• Write and optimize SQL queries in Snowflake; use DBT for modelling and pipelines.
• Design dashboards and reporting to give stakeholders visibility into performance.
• Turn business questions into scoped analytics problems and deliver defensible conclusions.
• Monitor data streams and dashboards, flag anomalies and triage issues.
• Improve data quality, reporting logic, and analytics processes.

Skills

SQL & Snowflake

DBT modeling

Team leadership

Stakeholder management

Analytics delivery

BI tools (Tableau/Looker/Power BI)

Data quality & QA

Python scripting

Tools

Snowflake

DBT

Tableau

Looker

Power BI

Jira

Monday.com

Job description

Prescience Decision Solutions | Full time

As an equal opportunity employer, we are dedicated to fostering a diverse and inclusive workplace, free from discrimination based on caste, religion, gender, sexual orientation, nationality, or other protected characteristics.

Role Overview

We are looking for an Analytics Lead with a strong foundation in both data engineering and analytics to join our Analytics Centre of Excellence. This role sits at the intersection of analytical rigor, client delivery, and team leadership — you will be responsible for producing high-quality analytics outputs, ensuring your team meets delivery standards, and building trusted relationships with stakeholders across the business. You bring equal confidence working with raw data and communicating insights to senior audiences. Beyond your own work, you will guide and quality-check a small team of analysts (3–4 members), acting as the bridge between day-to-day analytics operations and the wider business goals you are collectively working towards.

Job Description

About the Role

Key Responsibilities

• Work across structured and unstructured datasets to develop meaningful insights, identify trends, and support data-driven decision-making.
• Write and optimize complex SQL queries in Snowflake to extract, transform, and validate data; leverage DBT for modelling and pipeline management.
• Design and maintain dashboards and reporting frameworks that give stakeholders clear, reliable visibility into business performance.
• Translate ambiguous business questions into well-scoped analytical problems, driving them through to clear and defensible conclusions.
• Monitor key data streams and business dashboards, flagging and triaging anomalies or irregularities as they arise.
• Continuously look for opportunities to improve data quality, reporting logic, and analytical processes.

Client Deliverables & Quality Ownership

• Take end-to-end ownership of analytics deliverables — from scoping and analysis through to final output — ensuring accuracy, timeliness, and relevance.
• Review and quality-check team members' work before it reaches clients or stakeholders, upholding high standards of data integrity and presentation.
• Establish and enforce quality assurance processes and delivery standards across the team.
• Manage workload and priorities across the team to meet SLAs and client commitments consistently.
• Act as the escalation point for delivery risks, data issues, or quality concerns on active engagements.
• Lead, coach, and develop a team of 3–4 analysts, providing hands-on guidance and constructive feedback on their work.
• Foster a culture of curiosity, accountability, and continuous improvement within the team.
• Track team utilization and development needs, working with stakeholders to ensure effective allocation of capacity.
• Support analysts in building their technical skills and analytical thinking over time.

Stakeholder Collaboration & Relationship Building

• Build and maintain strong, trusted relationships with internal and external stakeholders — acting as a reliable analytics partner, not just a delivery resource.
• Engage proactively with stakeholders to understand their business context, anticipate analytical needs, and deliver insights that drive real decisions.
• Translate complex data findings into clear narratives tailored to both technical and non-technical audiences.
• Serve as the primary point of contact for analytics queries and deliverables, ensuring stakeholders are informed and confident in the outputs they receive.
• Collaborate with Engineering, Product, and Operations teams to align on data definitions, improve reporting infrastructure, and close gaps between data and business needs.
• Participate in stakeholder reviews, presenting findings and recommendations with clarity and confidence.

Requirements

Required Qualifications

• 6–9 years of experience spanning both data (engineering, operations, or pipelines) and analytics (reporting, insights, BI) disciplines.
• Strong SQL skills with hands-on Snowflake experience; familiarity with DBT for data modelling and transformation.
• Demonstrated experience owning and delivering analytics outputs to clients or senior stakeholders.
• Experience leading or mentoring a small team, reviewing analytical work, and maintaining delivery quality standards.
• Confident communicator — able to present data findings, manage stakeholder expectations, and build relationships at multiple levels.
• Strong analytical thinking with a structured approach to problem solving and root cause investigation.
• Experience with BI and dashboarding tools (e.g. Tableau, Looker, Power BI, or similar).
• Familiarity with project and task management tools such as Jira, Monday.com, or equivalent.

Preferred Qualifications

• Background in a centralized Analytics Centre of Excellence, shared services, or managed analytics environment.
• Familiarity with data quality frameworks, statistical methods, or anomaly detection techniques.
• Experience in fast-paced, client-facing, or operationally complex environments.
• (Optional) Experience with workflow automation tools or scripting (Python, or similar) to streamline repetitive analytical tasks.
• (Optional) Exposure to Generative AI or LLM-based tools in analytics workflows, reporting automation, or insight generation; familiarity with prompt engineering or AI-assisted analysis is a plus.

Perks and benefits

• Competitive salary and performance-based bonuses.
• Collaborative and supportive work environment.
• Chance to learn and grow with a talented team.