Senior Analyst, Business Intelligence

Jobgether; India; Remote; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote in India

Mentor junior analysts

Job summary

Jobgether is seeking a Senior Analyst, Business Intelligence, based in India. You will own enterprise BI initiatives, build dashboards, forecasts, and analytics for revenue and content monetization, collaborating with global teams and external partners.

You will lead Tableau deployment, optimize data pipelines, and translate complex data into actionable insights for senior leadership while mentoring junior analysts and shaping reporting standards.

Qualifications

• 4+ years in BI/Analytics/Data Strategy, ideally in ad tech, digital media, or SaaS.
• 3+ years hands-on Tableau Desktop and Server/Cloud, including publish, permissions, row-level security, and scheduling.
• Advanced Tableau: LOD expressions, table calculations, parameters, actions, and performance optimization.
• Strong SQL skills with complex queries, joins, window functions, and CTEs across large datasets.
• Experience with Databricks and Python/PySpark for transformation and large-scale processing.
• Strong analytical and problem-solving abilities to translate data into business recommendations.
• Excellent communication and data storytelling to explain findings to leadership.
• Ability to work independently and influence senior decision-makers.
• Proven stakeholder management across global teams and external partners.
• Strong organizational skills and commitment to data accuracy.

Responsibilities

• Tableau Server/Cloud management: projects, permissions, row-level security, and external partner access.
• Data Source and Dashboard Optimization: manage data sources, extracts, and refresh schedules; optimize performance.
• Data Quality and Governance: ensure accuracy, document best practices, version control.
• Enterprise BI analytics: develop dashboards and forecasts for revenue, partner insights, and monetization.
• Operational Intelligence: design reporting and anomaly detection for KPIs with actionable rules.
• Data Engineering and Analysis: use SQL, Python/PySpark in Databricks to prepare large datasets.
• Business Insights and Reporting: respond to ad-hoc requests and tell data stories.
• Cross-Functional Collaboration: align BI with Sales, Product, Finance, Ops, and Data Eng.
• Stakeholder/Partner Management: BI partner for global Ops and external partners.
• Team Development: mentor junior analysts and share Tableau best practices.

Skills

Tableau

SQL

Python

PySpark

Databricks

Data storytelling

Stakeholder management

Tools

Tableau Server/Cloud

Databricks

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analyst, Business Intelligence based in India.

Are you passionate about transforming complex data into actionable business insights that drive strategic decisions and operational excellence? This role offers an exciting opportunity to take ownership of enterprise-level business intelligence initiatives within the fast-evolving digital advertising and connected TV (CTV) industry. You will work with large-scale advertising, revenue, and viewership datasets to develop impactful dashboards, forecasts, and analytical solutions. As a senior individual contributor, you will serve as a trusted BI expert, supporting cross-functional teams and international stakeholders. You will play a key role in strengthening reporting standards, improving operational performance, and optimizing content monetization strategies. Working closely with global teams and external content partners, you will help shape data-driven decision-making across a dynamic, technology-focused environment.

Accountabilities

• Tableau Platform Management: Take ownership of Tableau Server/Cloud environments, managing projects, user permissions, row-level security, content sharing, and access for internal teams and external partners.
• Data Source and Dashboard Optimization: Manage data sources, extracts, and refresh schedules while optimizing workbook performance for large-scale datasets and ensuring reliable reporting.
• Data Quality and Governance: Reconcile dashboard metrics with source systems and partner reports to ensure data accuracy, consistency, and reliability. Establish and document best practices for dashboard design, naming conventions, calculated fields, and version control.
• Enterprise BI and Analytics: Develop and maintain enterprise-level dashboards, forecasts, and in-depth analyses covering revenue performance, partner insights, and content monetization.
• Operational Intelligence: Design reporting solutions and anomaly detection frameworks to monitor advertising delivery and operational KPIs, translating complex data into actionable business rules, thresholds, and recommendations.
• Data Engineering and Analysis: Use advanced SQL, Python, and PySpark within Databricks to prepare, transform, join, and validate large datasets efficiently.
• Business Insights and Reporting: Respond to ad-hoc analytical requests and communicate findings through clear, compelling data storytelling tailored to both technical and non-technical audiences.
• Cross-Functional Collaboration: Work closely with Sales, Product, Finance, Operations, and Data Engineering teams to define BI requirements, improve data pipelines, and ensure reporting solutions meet business and operational needs.
• Stakeholder and Partner Management: Act as a primary BI partner for global Operations teams and external content partners, ensuring consistent KPI definitions, aligned reporting standards, and effective data usage.
• Team Development: Mentor junior analysts, share Tableau expertise, and promote best practices and knowledge-sharing across the BI function.

Requirements

• At least 4 years of professional experience in Business Intelligence, Analytics, or Data Strategy, ideally combining business intelligence and operational analytics within advertising technology, digital media, or SaaS environments.
• At least 3 years of hands-on experience with Tableau Desktop and Tableau Server/Cloud, including dashboard publishing, permissions management, row-level security, and automated scheduling.
• Advanced Tableau expertise, including LOD expressions, table calculations, parameters, dashboard actions, and workbook performance and extract optimization.
• Strong SQL skills, with experience writing complex queries involving joins, window functions, and CTEs across large datasets.
• Practical experience with Databricks and Python/PySpark for data transformation, large-scale data processing, and automation.
• Strong analytical and problem-solving abilities, with the capacity to turn complex datasets into meaningful business recommendations.
• Excellent communication, presentation, and data storytelling skills, including the ability to explain technical findings to senior leadership and international stakeholders.
• Demonstrated ability to work independently, manage end-to-end BI initiatives, and influence senior decision-makers without direct managerial authority.
• Proven stakeholder management skills, with experience building productive relationships across global teams and external business partners.
• Strong organizational skills, attention to detail, and a commitment to data accuracy, consistency, and reporting excellence.

Preferred Qualifications:

• Experience with real-time analytics or operational intelligence frameworks, particularly in advertising technology or content monetization.
• Familiarity with Connected TV (CTV), Over-the-Top (OTT), and programmatic advertising concepts, including Supply-Side Platforms (SSPs), Demand-Side Platforms (DSPs), impressions, fill rates, and revenue-sharing models.
• Tableau certification, such as Tableau Desktop Specialist or Tableau Certified Data Analyst.
• Experience with forecasting methodologies and time-series reporting.

Benefits

• Full-time remote working opportunity based in India.
• Opportunity to work with large-scale advertising, revenue, and viewership datasets in the growing Connected TV and digital advertising industry.
• High-impact senior individual contributor role with significant ownership of enterprise BI platforms and strategic analytics initiatives.
• Exposure to international stakeholders, cross-functional teams, and global content partners.
• Opportunities to influence business strategy, operational efficiency, and revenue optimization through data-driven insights.
• Professional growth through advanced Tableau, SQL, Python, PySpark, and Databricks applications.
• Opportunity to mentor junior analysts and contribute to the development of BI best practices and organizational expertise.