eClerx

Data analytics and BPM outsourcing services

Senior Business Analyst

Data ScienceConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 3 years of experience in marketing analytics.
Proficiency in SQL and data visualization tools such as Domo, Tableau, Power BI, or Looker.
Experience with Python or R for predictive modeling is a plus.
A deep understanding of data sources, including SFDC, SFMC, and Marketing Automation data structures such as Marketo or HubSpot.
Knowledge of analytics platforms.
Expertise in multi-touch attribution, marketing mix modeling, and incrementality testing.
Ability to influence Sales, Marketing, and Finance stakeholders with data-backed narratives.
Expertise in advanced analytics and strategic thinking to drive marketing return on investment, customer insights, and business growth.

Responsibilities

Analyze and optimize full-funnel performance, collaborating with sales and regional teams to improve down-funnel conversion metrics.
Measure campaign effectiveness across traffic, engagement, conversion, revenue, and return on investment.
Break down performance by channel, region, product, and customer segment to identify granular growth drivers.
Use predictive modeling and automated anomaly detection to transition reporting from descriptive to prescriptive insights.
Establish automated alerts to notify stakeholders when performance deviates from benchmarks.
Proactively surface risks, opportunities, and performance drivers to influence strategic growth.
Validate and refine attribution models to accurately measure marketing’s contribution to the pipeline.
Define success metrics and track lead lifecycle performance, focusing on pipeline stage conversion rates.
Partner with Marketing Operations, Data Operations, and Sales Operations to ensure data consistency and accuracy across the lead-to-sales journey.
Reduce the time from data collection to insight through AI automation and streamlined reporting frameworks.
Translate complex data sets into clear, concise narratives and executive-level recommendations.
Support annual planning, forecasting, and goal-setting for global marketing initiatives.

Desired Qualifications

Experience with Python or R for predictive modeling.

We are looking for a data-driven Senior Business Analyst to bridge the gap between marketing data and strategic action. You will be responsible for transforming raw campaign metrics into actionable intelligence, optimizing the lead-to-revenue funnel, and ensuring a seamless interlock between Sales and Marketing.

Qualifications

Experience: 3+ years in Marketing Analytics

Technical Skills: Proficiency in SQL and data visualization tools ( DOMO, Tableau, Power BI, or Looker). Experience with Python/R for predictive modeling is a plus.

Marketing Tech: Deep understanding of Data sources - SFDC, SFMC and Marketing Automation (Marketo/HubSpot) data structures. Knowledge on Analytics Platforms

Analytical Rigor: Strong expertise in multi-touch attribution (MTA), MMM, and incrementality testing.

Communication: Proven ability to influence cross-functional stakeholders (Sales, Marketing, and Finance) with data-backed stories.

The ideal candidate must possess strong expertise in advanced analytics and strategic thinking to drive marketing ROI, customer insights, and business growth.

This role focuses on leveraging predictive analytics, automation, and data science techniques to optimize marketing performance and influence strategic decision-making.

Funnel Optimization & Campaign Performance:

Analyze and optimize full-funnel performance, collaborating with sales and regional teams to improve down-funnel conversion metrics.
Measure campaign effectiveness across traffic, engagement, conversion, revenue, and ROI.
Break down performance by channel, region, product, and customer segment to identify granular growth drivers.

Actionable Intelligence & Predictive Insights:

Transition reporting from descriptive to prescriptive by utilizing predictive modeling and automated anomaly detection.
Establish automated alerts to notify stakeholders when performance deviates from benchmarks.
Proactively surface risks, opportunities, and performance drivers to influence strategic growth.

Sales & Marketing Interlock:

Validate and refine attribution models to accurately measure marketing’s contribution to the pipeline.
Define success metrics and lead lifecycle performance tracking, specifically focusing on pipeline stage conversion rates.
Partner with Marketing Ops, Data Ops, and Sales Ops to ensure data consistency and accuracy across the lead-to-sales journey.

Speed-to-Decision & Enablement:

Reduce the time from data collection to insight through AI automation and streamlined reporting frameworks.
Translate complex data sets into clear, concise narratives and executive-level recommendations.
Support annual planning, forecasting, and goal-setting for global marketing initiatives.

About the Company

eClerx

Data analytics and BPM outsourcing services

eClerx Services Ltd. provides business process management and data analytics services to clients worldwide, focusing on financial services, telecom, retail, and technology. It helps clients by managing and optimizing data-intensive processes, acting as an extension of their operations through data management, automation, analytics, and consulting. Its offerings cover trade lifecycle management, risk and compliance in financial markets, digital services like content creation and e-commerce analytics, and customer operations optimization. Its differentiator is combining deep domain knowledge with data-driven insights and it pursues growth through strategic acquisitions, such as Personiv, to expand back-office and customer support capabilities, with the goal of helping clients run efficient, data-driven processes while focusing on core business.

Company size: 10,001+
Company stage: IPO
Headquarters: Mumbai, India
Founded: 2000

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