Position:
Junior Data Analyst
Company:
Havas Creative Network
Location:
Mumbai, Maharashtra, India
Job type:
Full-time
Job mode:
On-site
Job requisition id:
Not provided
Years of experience:
0-3 years
Company description
Havas Creative Network stands as a titan in the global communications and advertising landscape, operating as a vital arm of the Havas Group and the broader Vivendi entertainment ecosystem.
The organization is renowned for its innovative "Village" model, which integrates multi-disciplinary teams under a single roof to foster seamless collaboration and integrated marketing solutions.
With a workforce exceeding 10,000 employees globally, the company specializes in creating meaningful connections between brands and consumers through creativity, media, and data.
Being part of the Vivendi family allows Havas to tap into unique cultural assets, including music labels, gaming platforms, and film studios, providing an unparalleled edge in the modern advertising market.
The Mumbai office serves as a strategic hub for the Indian market, focusing on delivering high-impact customer experience (CX) strategies for a diverse portfolio of prestigious clients.
The company culture is built on the foundation of being "collaborative by default," encouraging employees to explore the intersection of technology and human behavior.
Havas is committed to data-driven transformation, ensuring that every creative campaign is backed by robust analytical insights and measurable business outcomes.
Their mission is to make a meaningful difference to brands, businesses, and people through constant innovation and a client-centric approach.
The network operates across 73 global multi-disciplinary Villages, ensuring that local expertise is always supported by a massive global infrastructure.
At its core, Havas Creative Network is about building a connected ecosystem that adapts to the rapidly changing needs of the digital and physical marketplace.
Profile overview:
The Junior Data Analyst role is a pivotal position within the Customer Experience (CX) practice, designed for a curious and data-driven individual who excels at turning raw information into actionable narratives.
This professional will be responsible for bridging the gap between technical data management and strategic business decision-making.
The role focuses on three core pillars: delivering value through data, maintaining robust reporting pipelines, and driving analytics innovation within the agency.
Candidates are expected to handle complex, "messy" real-world datasets and extract trends that directly influence how clients communicate and engage with their audiences.
As a junior member of the team, you will receive mentorship while being given the autonomy to prototype new tools and methodologies that push the practice forward.
You will work closely with cross-functional teams, including strategy, creative, and client service departments, to ensure data is embedded into the heart of every campaign.
The position requires a high degree of adaptability, as the analyst must handle varied data formats and evolving client requirements in a fast-paced agency environment.
Success in this role is defined by the ability to communicate technical findings to non-technical stakeholders in a way that is clear, compelling, and business-focused.
The ideal candidate is someone who is not just comfortable with numbers but is genuinely excited by the stories those numbers can tell.
This is an entry-level opportunity that offers a steep learning curve and the chance to work with some of the world's most recognizable brands under the Havas umbrella.
Qualifications:
A Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Engineering, or Computer Science.
Demonstrated proficiency in SQL for data extraction, manipulation, and querying within relational databases.
Foundational knowledge of programming languages like Python or R, particularly for data analysis and automation tasks.
Hands-on experience or academic exposure to Business Intelligence (BI) tools such as Looker, Tableau, Power BI, or Google Data Studio.
Strong understanding of statistical concepts, including hypothesis testing, regression analysis, and data modeling fundamentals.
Ability to clean, transform, and organize unstructured or "messy" data from various sources into a structured format suitable for analysis.
Excellent verbal and written communication skills, with the ability to present complex data insights to diverse audiences.
A proactive attitude toward learning new technologies and staying updated with the latest trends in the data analytics industry.
Familiarity with Customer Experience (CX) metrics, such as Net Promoter Score (NPS), Customer Satisfaction (CSAT), and retention rates, is highly desirable.
Previous internship or project experience in a marketing, advertising, or agency environment is considered a significant advantage.
Additional info:
This role is an on-site position based in the vibrant business district of Mumbai, requiring regular presence in the office to collaborate with the "Village" teams.
Havas provides a dynamic work environment where innovation is rewarded, and employees are encouraged to take ownership of their professional growth.
The company offers a comprehensive benefits package, including health insurance, professional development opportunities, and exposure to global projects.
Candidates will have access to proprietary Havas tools and the broader Vivendi network resources, including insights from the worlds of music and gaming.
The recruitment process emphasizes a "culture fit," looking for individuals who are detail-oriented, naturally curious, and comfortable with ambiguity.
This position is ideal for someone who wants to see the direct impact of their analytical work on creative outputs and consumer behavior.
Documentation and data governance are key aspects of the role, ensuring that all analytical processes are transparent and repeatable.
The Junior Data Analyst will support the measurement frameworks that track how consumers interact with brands across digital and physical touchpoints.
Collaboration is a core value, and the analyst will be expected to participate in brainstorming sessions with creative and strategic leads.
Havas Creative Network is an equal opportunity employer that values diversity and inclusion within its global workforce.
Detailed Job Responsibilities and Functions
Data Extraction and Cleaning
Accessing various internal and external databases using SQL to gather relevant information for client projects.
Identifying and correcting errors in raw datasets to ensure high levels of data integrity and accuracy.
Dealing with missing values and outliers in real-world data to prevent skewed analytical results.
Standardizing data formats across different platforms to facilitate easier merging and comparison.
Automating the initial stages of data preparation to save time and reduce manual intervention.
Developing scripts to scrape or pull data from APIs where direct database access is not available.
Creating rigorous documentation for all data cleaning procedures to maintain transparency.
Ensuring that all data handling practices comply with local and international data privacy regulations.
Collaborating with IT teams to resolve any data access or infrastructure issues.
Regularly auditing datasets to identify long-term trends in data quality and source reliability.
Reporting and Pipeline Development
Designing and building scalable reporting pipelines that automatically update with new data.
Creating interactive dashboards using BI tools like Tableau or Power BI to provide stakeholders with real-time insights.
Tailoring reports to meet the specific needs of different stakeholders, from account managers to C-suite executives.
Monitoring existing pipelines to ensure they run smoothly and troubleshooting any failures immediately.
Optimizing report performance to ensure fast loading times and a smooth user experience.
Implementing version control for all reports and dashboards to track changes over time.
Training non-technical team members on how to use and interpret the dashboards.
Standardizing reporting templates across different clients to ensure consistency in the agency's output.
Working with data engineers to refine the underlying data architecture supporting the reports.
Collecting feedback from users to continuously improve the utility and clarity of all reporting outputs.
Insight Generation and Analysis
Performing exploratory data analysis (EDA) to uncover hidden patterns and opportunities for client growth.
Analyzing customer journey data to identify pain points and areas for experience optimization.
Segmenting audiences based on behavioral, demographic, and psychographic data to improve campaign targeting.
Conducting A/B testing and other experimental designs to measure the effectiveness of creative variations.
Correlating marketing spend with business outcomes like sales, lead generation, and brand awareness.
Utilizing statistical models to forecast future trends and consumer behaviors.
Identifying anomalies in data that could indicate technical issues or sudden shifts in the market.
Evaluating the performance of various communication channels (social media, email, search) in a holistic manner.
Providing data-backed recommendations for budget allocation and media planning.
Synthesizing findings from multiple data sources into a single, cohesive narrative.
Collaboration and Communication
Presenting analytical findings in internal meetings and client presentations using visual storytelling.
Translating technical jargon into plain language that can be easily understood by creative and strategic teams.
Participating in "Village" sessions to provide data-driven perspectives during the ideation phase of a campaign.
Working closely with account leads to understand client business goals and align analytical efforts accordingly.
Assisting in the preparation of pitch decks by providing relevant market and consumer data.
Acting as a consultant for other departments on best practices for data collection and usage.
Building strong relationships with client-side data teams to facilitate better data sharing.
Contributing to a culture of data literacy across the entire Mumbai office.
Documenting insights and learnings from every project to build an internal knowledge base.
Engaging in regular feedback loops with supervisors to refine analytical techniques.
Innovation and Future-Proofing
Researching and testing new analytics software, plugins, and methodologies to keep Havas at the cutting edge.
Developing prototypes for new data products or services that can be offered to clients.
Exploring the use of machine learning and AI to automate more complex analytical tasks.
Staying informed about changes in the ad-tech and mar-tech landscape, such as the phasing out of third-party cookies.
Participating in global Havas data communities to share knowledge and learn from other "Villages."
Helping to define the roadmap for the CX practice's analytical capabilities.
Experimenting with new ways to visualize data to make it more engaging and impactful.
Investigating external data providers that could add value to Havas's existing datasets.
Attending industry conferences and webinars to bring fresh ideas back to the team.
Encouraging a "fail-fast" mentality when testing new analytical hypotheses.
CX Measurement and Frameworks
Tracking core CX metrics like Net Promoter Score (NPS) and Customer Effort Score (CES) across multiple touchpoints.
Developing custom measurement frameworks that align with specific client business objectives.
Monitoring customer retention and churn rates to provide early warning signals to clients.
Analyzing sentiment data from social listening tools and customer reviews.
Mapping data points to the customer journey to visualize the "moments of truth."
Evaluating the impact of CX initiatives on long-term brand loyalty and customer lifetime value.
Ensuring that all measurement activities are consistent and comparable over time.
Identifying the drivers of customer satisfaction through correlation and driver analysis.
Using data to validate or challenge existing assumptions about the customer experience.
Providing insights that help clients pivot their CX strategies in real-time.
Data Governance and Quality Assurance
Enforcing strict data governance policies to ensure data is used ethically and legally.
Maintaining a centralized data dictionary that defines all terms and metrics used by the agency.
Validating data from third-party vendors to ensure it meets Havas's quality standards.
Implementing checks and balances to prevent data leakage or unauthorized access.
Ensuring that all data visualizations are accurate and not misleading.
Performing regular stress tests on data pipelines to ensure they can handle large volumes of information.
Archiving old project data in a secure and organized manner.
Promoting a "security-first" mindset when handling sensitive client information.
Collaborating with legal teams to review data sharing agreements.
Keeping all software and tools updated to the latest secure versions.
Professional Development and Mentorship
Taking advantage of Havas University and other internal training platforms.
Seeking out mentorship from senior data scientists and directors within the network.
Setting quarterly goals for skill acquisition, such as mastering a new Python library or BI feature.
Sharing knowledge with other junior staff or interns through informal lunch-and-learn sessions.
Participating in industry certifications to formalize technical expertise.
Reflecting on project successes and failures to drive continuous personal improvement.
Building a professional portfolio of work that demonstrates a range of analytical skills.
Learning about the business side of advertising to become a more well-rounded agency professional.
Networking with colleagues across the global Havas network to understand different market dynamics.
Staying curious about human behavior and the cultural trends that drive it.
Strategic Impact
Ensuring that every data project has a clear link to the client’s bottom line.
Helping clients move from reactive reporting to proactive, predictive analytics.
Providing the evidence needed for clients to take creative risks.
Supporting the agency’s mission to make a "meaningful difference" through quantifiable results.
Contributing to the overall profitability of the CX practice through efficient work processes.
Identifying opportunities for upselling or cross-selling analytical services to existing clients.
Strengthening the agency’s reputation as a data-led creative powerhouse.
Helping to win new business by showcasing advanced analytical capabilities in pitches.
Aligning analytical goals with the broader strategic vision of the Havas Creative Network.
Measuring the success of the data team itself in contributing to agency-wide objectives.
Operational Excellence
Managing time effectively to handle multiple projects and deadlines simultaneously.
Using project management tools to track the progress of analytical tasks.
Ensuring that all deliverables are professional, polished, and error-free.
Communicating clearly about project timelines and potential roadblocks.
Maintaining a clean and organized digital workspace and file structure.
Adapting to different client workflows and communication styles.
Contributing to the refinement of internal processes to improve team efficiency.
Being available for "all hands on deck" situations during major campaign launches.
Respecting the collaborative nature of the "Village" model by being a reliable team player.
Upholding the high standards of excellence associated with the Havas brand.
Technological Proficiency
Deepening knowledge of SQL extensions and optimization techniques.
Expanding Python skills to include libraries like Pandas, NumPy, and Matplotlib.
Exploring cloud data platforms like Snowflake, BigQuery, or AWS Redshift.
Understanding how to integrate BI tools with various data sources.
Learning the basics of web analytics tools like Google Analytics 4 (GA4).
Staying current with the evolution of data visualization best practices.
Gaining exposure to automated machine learning (AutoML) tools.
Understanding the technical architecture of marketing automation platforms.
Developing a working knowledge of data warehouse design principles.
Familiarizing oneself with the technical side of social media API integrations.
Client Relations and Understanding
Immersing oneself in the client's industry to understand their unique challenges.
Anticipating client questions and preparing data-backed answers in advance.
Building trust with clients by consistently delivering accurate and insightful work.
Understanding the competitive landscape for each client to provide better context for data.
Tailoring the tone and format of communications to match the client's corporate culture.
Acting as a proactive partner by suggesting new ways to look at their data.
Being transparent about data limitations and what the numbers can and cannot say.
Celebrating client wins that were made possible through analytical insights.
Managing client expectations regarding data availability and project timelines.
Striving to become an indispensable extension of the client's own marketing team.
The Mumbai "Village" Context
Understanding the unique dynamics of the Indian consumer market.
Collaborating with local creative talent to ensure data insights are culturally relevant.
Navigating the specific technological landscape and data availability in the region.
Contributing to the growth and energy of the Mumbai office.
Participating in local cultural events and team-building activities.
Representing the Havas Mumbai office in regional and global meetings.
Supporting local pro-bono or social impact projects with data expertise.
Helping to attract top analytical talent to the Mumbai office.
Maintaining a positive and professional presence in the local business community.
Embracing the diversity and complexity of working in one of India's most dynamic cities.
Final Summary of Role Impact
The Junior Data Analyst is the engine room of the CX practice, providing the fuel (data) for the creative fire.
Every chart, table, and insight produced has the potential to change a client's business trajectory.
The role is a blend of science and art, requiring both logical rigor and creative storytelling.
By ensuring data integrity, you protect the agency's and the client's reputation.
Your work directly supports the Havas mission of creating meaningful connections.
You are part of a global community but with a deep impact on the local Mumbai market.
The skills learned in this role provide a rock-solid foundation for a long career in data and advertising.
You will be at the forefront of the industry's shift toward more personalized and measurable customer experiences.
At Havas, your curiosity is your greatest asset, and the data is your playground.
Joining the Havas Creative Network means being part of a legacy of excellence and a future of innovation.
Please click here to apply.
Daily job updates on WhatsApp, Click here
