₹11L – ₹25L a year estimatetypical for IT Jobs in India, 904 posts
Posted 9 days ago
Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Role at a glance
You will
Analyze marketing campaigns across various digital media platforms (Google Ads, Meta, YouTube, Programmatic, etc.) to assess performance…
Support the stakeholder requirements gathering process by validating stakeholder requirement forms and ensuring data source access
Develop and maintain dashboards and reports tracking key performance indicators (KPIs), including CAC, ROAS, LTV, and conversion metrics.
Experience
0–2 years
Education
Bachelor's degree
Must-have skills
Data VisualizationDigital MarketingGoogle AdsMeta AdsPower BISQL
How well do your skills match this job?
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Agency :
PivotRoots
Job Description :
We are looking for a skilled Data Analyst to support performance marketing and campaign analysis across multiple media platforms. This role is responsible for managing end-to-end data pipelines, from requirements gathering to dashboard delivery. You will work with data from multiple paid media platforms, CRM systems, and other digital sources using tools like Google BigQuery, Data Fetch Tools, and Data Visualisation Tools (Looker Studio, Power BI). You will collaborate closely with Account POCs, Data Engineering, and clients to deliver accurate and actionable reporting solutions
Key Responsibilities:
Analyze marketing campaigns across various digital media platforms (Google Ads, Meta, YouTube, Programmatic, etc.) to assess performance and identify improvement areas.
Support the stakeholder requirements gathering process by validating stakeholder requirement forms and ensuring data source access
Develop and maintain dashboards and reports tracking key performance indicators (KPIs), including CAC, ROAS, LTV, and conversion metrics.
Ensure data quality and consistency across platforms, managing large and complex datasets.
Translate insights into clear, actionable recommendations and present findings to both technical and non-technical stakeholders.
Document processes and maintain standard conventions for data transfers, tables, and dashboards
Qualifications:
Bachelor’s degree in Engineering, Data Science, Statistics, or a related field.
0–2 years of experience in data analytics; experienced candidates preferred.
Proficiency in SQL and Data Visualization Tools (e.g., Looker, Tableau, Power BI).
Basic understanding of digital marketing platforms (Google Ads, Meta Ads, DV360, etc.) and their metrics.
Contract Type : Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Contract Type :
Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Key skills
Required
Data VisualizationDigital MarketingGoogle AdsMeta AdsPower BISQLTableau
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?