eClerx

Data analytics and BPM outsourcing services

Associate Process Manager

Data AnalysisConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Demonstrate strong analytical thinking, business acumen, and experience turning data into actionable insights for day-to-day operations and strategic decisions.
Have hands-on knowledge of marketing, sales, and revenue analytics and marketing frameworks.
Have experience with GCP, Adobe Analytics, Salesforce CRM systems, and marketing automation platforms.
Hold a BE/B.Tech or bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related field, and have 5+ years of experience in data analytics or business intelligence.
Be proficient in SQL for data querying and transformation.
Have experience in data visualization and dashboarding using Looker or equivalent tools.
Have hands-on experience with Excel; familiarity with Python or R is desirable.
Understand statistical techniques and their applications in experimentation and optimization, including A/B testing and regression analysis.
Be able to independently explore data, structure analytical approaches, and present compelling narratives from data insights.
Be able to analyze and conduct impact driver analysis.
Have exposure to tools such as Google Analytics.
Be able to translate data into meaningful recommendations for business teams.

Responsibilities

Conduct deep-dive analyses to identify performance trends, diagnose drivers, and uncover process or strategy optimization opportunities.
Frame and test data-driven hypotheses and define key performance indicators and metrics to assess outcomes.
Collaborate with stakeholders across business, product, and marketing teams to define analytics requirements and translate them into structured analysis.
Use Looker and SQL for visualization and hands-on analysis.
Lead regular and ad-hoc reporting and insight generation to support business-as-usual activities.
Provide actionable recommendations based on data trends, statistical analyses, and visualizations.
Support the design of experimentation frameworks and testing methodologies, including A/B testing and pre-post analysis.
Document analytical approaches and ensure consistency and accuracy in data interpretation.
Maintain and optimize a predefined marketing attribution framework aligned with corporate goals and integrated with existing data infrastructure.

Desired Qualifications

Familiarity with scripting languages such as Python or R.

Role and Responsibilities:

We are looking for candidates with strong analytical thinking, business acumen, and experience in turning data into actionable insights to support both day-to-day operations and strategic decisions.
Strong hands on knowledge of marketing, Sales and Revenue analytics and marketing frameworks.
Experience with GCP, Adobe Analytics, Salesforce CRM systems, and marketing automation platforms.
Conduct deep-dive analyses to identify performance trends, diagnose drivers, and uncover opportunities for process or strategy optimization.
Frame and test data-driven hypotheses, define KPIs and metrics to assess outcomes.
Collaborate with stakeholders across business, product, and marketing teams to define analytics requirements and translate them into structured analysis.
Proficient in visualization using Looker with hands on SQL.
Lead regular and ad-hoc reporting and insight generation to support business-as-usual (BAU) activities.
Provide actionable recommendations based on data trends, statistical analyses, and visualizations.
Support design of experimentation frameworks and testing methodologies (e.g., A/B testing, pre-post analysis).
Document analytical approaches and ensure consistency and accuracy in data interpretation.
Attribution Model Maintenance & Optimization: Maintain a pre-defined marketing attribution framework that aligns with corporate goals and integrates seamlessly with existing data infrastructure

Technical and Functional Skills:

BE/B.Tech or Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or related field with 5+ years of experience in data analytics or business intelligence.
Strong proficiency in SQL for data querying and transformation.
Experience in data visualization and dashboarding using Looker, , or equivalent tools.
Hands-on with Excel, and familiarity with scripting languages like Python or R (good to have).
Solid understanding of statistical techniques and their applications in experimentation and optimization (e.g., A/B testing, regression analysis).
Ability to independently explore data, structure analytical approaches, and present compelling narratives from data insights.
Strong knowledge of marketing analytics and marketing frameworks.
Able to analyze and conduct impacting driver analysis.
Exposure to tools like Google Analytics.
Strong business acumen and the ability to translate data into meaningful recommendations for business teams.

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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