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Globant is hiring for a fresher entry level Data Analyst role in India



Position:

  • Marketing Data Analyst

Company:

  • Globant

Location:

  • Pune, Maharashtra, India

Job Type:

  • Full-time

Job Mode:

  • On-site / Hybrid (based on company policy)

Job Requisition ID:

  • Not provided

Years of Experience:

  • 0-3 years

Company Description:

Globant is a digitally native company that partners with organizations across various sectors to help them reinvent and unleash their full potential. Known for integrating innovation, design, and engineering at scale, Globant operates in 33 countries spread across 5 continents, employing over 29,000 professionals. The company specializes in leveraging cutting-edge technologies and data-driven methodologies to transform its clients’ operations, including giants like Google, Electronic Arts, and Santander. Globant’s philosophy revolves around fostering innovation in every aspect of its business, making it a global leader in digital transformation.

The Digital Marketing Studio within Globant is at the forefront of these efforts, continuously experimenting and innovating with artificial intelligence (AI) and personalization to drive impactful results. By fostering an environment of curiosity and creativity, the team is focused on changing the landscape of marketing, enabling organizations to connect more deeply with their target audiences through personalized and data-driven campaigns.


Profile Overview:

As a Marketing Data Analyst, you will play a pivotal role within Globant’s Digital Marketing Studio. This position requires a strong analytical mindset and expertise in SQL to develop, execute, and analyze marketing campaigns that align with business objectives. The role focuses heavily on customer insights, engagement, and personalized communication through a combination of inbound and outbound channels.

Key responsibilities include understanding business requirements, selecting appropriate data points, and generating actionable insights for marketing strategies. The candidate will also work closely with product owners (POs) to ensure campaigns are not only timely but effective in reaching the right audience. Moreover, there is room for skill enhancement as the team uses advanced campaign management tools, enabling streamlined customer communication across diverse platforms.

Your work will directly contribute to transforming how organizations interact with their customers, offering personalized experiences by utilizing the latest data technologies and analytics solutions. This role demands collaboration with multiple stakeholders, ensuring that communication is effective, data-driven, and impactful.


Qualifications:

  • SQL Expertise:

    • Extensive experience in using SQL to query databases, extract data, and manipulate data sets for campaign management.
  • Analytics & Data Interpretation:

    • Strong background in analytics, with the ability to interpret complex datasets, provide insights, and create strategies that align with business goals.
  • Customer Engagement:

    • Familiarity with personalized customer engagement through inbound and outbound channels, enhanced by analytics, automation, and AI technologies.
  • Communication Skills:

    • Strong ability to convey complex data insights to business stakeholders, ensuring that recommendations are clear, actionable, and aligned with the company's goals.
  • Technical Skills:

    • Experience in HTML, CSS, and JavaScript for the design and management of communication templates would be an advantage, although not mandatory.
  • Numerical and Analytical Approach:

    • Demonstrates a highly numerate and data-driven mindset, with a passion for uncovering actionable insights from data.

Additional Information:

  • Team Collaboration:

    • The role is highly collaborative, involving close interactions with product owners, marketing strategists, and other team members to ensure the seamless execution of campaigns.
  • Upskilling Opportunities:

    • The company offers ample opportunities for upskilling, particularly with the use of cutting-edge campaign management tools. The Marketing Data Analyst will be exposed to the latest technological advancements in the industry, making it an excellent role for professional growth.
  • Industry Impact:

    • By joining Globant, you will contribute to reshaping how businesses leverage data to connect with their customers. Your role will help organizations transition towards more data-driven models, leading to improved customer experiences and enhanced engagement.
  • Data-Driven Decision Making:

    • The Marketing Data Analyst will work in a rapidly evolving data environment, where decisions are heavily influenced by analytics, customer data, and market trends. This offers an exciting challenge for anyone passionate about making data-driven marketing decisions.
  • Work Environment:

    • Globant promotes a culture of innovation and continuous learning. The Marketing Data Analyst will work in a dynamic environment that encourages experimentation with AI, personalization, and automation for improved marketing outcomes.

Expanded Role Responsibilities:

The Marketing Data Analyst is primarily responsible for leveraging data to enhance marketing campaigns. Their expertise in SQL and analytics is crucial in identifying key data points, analyzing campaign outcomes, and adjusting strategies for improved performance. Below is an in-depth breakdown of the role:

  • Campaign Development:

    • Collaborate with product owners to understand campaign requirements and objectives.
    • Use SQL to extract, clean, and manipulate data sets in alignment with campaign goals.
    • Ensure that all data points are accurate, relevant, and optimized for the campaign.
  • Campaign Execution:

    • Develop campaigns based on pre-defined business requirements.
    • Coordinate with multiple stakeholders to execute campaigns across various platforms (email, social media, etc.).
    • Manage campaign timelines to ensure timely delivery and implementation.
  • Customer Insights & Personalization:

    • Use analytics to gather customer insights and drive personalized marketing communications.
    • Apply automation tools to deliver consistent and customized messaging across inbound and outbound channels.
    • Provide detailed customer segmentation, allowing for more targeted and effective outreach.
  • Post-Campaign Analysis:

    • Produce comprehensive post-campaign reports, including insights on performance metrics and ROI.
    • Present findings to business stakeholders, offering data-driven recommendations for future campaigns.
    • Adjust strategies based on post-campaign data to ensure continued optimization.

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