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dentsu (Sokrati) is hiring for an FRESHER entry level Data Analyst role in India




Job Details Overview

Position

  • Data Analyst

Company

  • dentsu (Sokrati)

Location

  • Pune, Maharashtra, India (Baner - Amar Madhuban Tech Park)

Job Type

  • Full-time / Permanent

Job Mode

  • Onsite

Job Requisition ID

  • R1127467

Years of Experience

  • 0 to 3 years

Company Description

  • Global Marketing & Technology Leadership: dentsu is a world-renowned leader in media, digital transformation, and marketing technology, operating seamlessly across international markets to empower global brands.

  • Over a Century of Innovation: Driven by a rich legacy spanning more than 120 years, dentsu continuously pushes the boundaries of audience engagement, media strategy, and enterprise transformation.

  • Integrated Growth Solutions: The organization synthesizes creative strategy, data engineering, media buying, and performance analytics into comprehensive growth engines that yield measurable business value for clients worldwide.

  • Client-Centric Philosophy: Built around the core principle of innovating to impact, the firm consistently turns complex market challenges into competitive business advantages.

  • Sokrati Integration: Operating within the dynamic ecosystem of Sokrati, dentsu combines specialized digital performance expertise with global enterprise infrastructure to deliver high-impact analytics.

  • Sustainability & Purpose: The enterprise prioritizes environmental stewardship and social responsibility, embedding sustainability across operational frameworks to serve as a genuine force for good.

  • Culture of Innovation: Employees are urged to embrace ambiguity, lead fearlessly, and cultivate transformative approaches across digital marketing and data processing domains.

  • Boundaryless Collaboration: The firm fosters an inclusive, collaborative culture where multi-disciplinary talent interacts seamlessly to build strong professional connections and deliver enterprise-scale outcomes.

Profile Overview

Core Purpose & Strategic Value

  • Empowering Business Decisions: As a core contributor to the Advanced Analytics division, the role revolves around extracting meaningful insights from expansive, complex datasets to guide strategic organizational moves.

  • End-to-End Data Lifecycle Management: Overseeing raw data acquisition, meticulous cleansing, data normalization, quantitative modeling, visualization, and strategic executive reporting.

  • Multi-Platform Analytics Execution: Operating across diverse media, web, and enterprise analytics platforms to centralize unstructured data into unified analytical frameworks.

  • Converting Complexity to Action: Transforming raw metrics, customer behavior trends, and operational data into clear, scalable recommendations for performance optimization.

Key Functional Responsibilities

  • Data Extraction & Ingestion: Systematically gathering performance figures and operational metrics across distributed media pipelines, server logs, and enterprise databases.

  • Advanced Data Cleaning & Normalization: Structuring dirty, incomplete, or fragmented datasets to guarantee absolute precision and auditability across all reporting outputs.

  • Performance Diagnostic & Modeling: Applying analytical methodologies to identify underlying operational trends, drop-off vectors, conversion bottlenecks, and efficiency gains.

  • Interactive Dashboard Engineering: Building, deploying, and supporting automated dashboard solutions for real-time monitoring and executive decision-making.

  • Cross-Functional Synergy: Partnering directly with performance media managers, tech architects, and client services teams to align analytical outputs with key performance indicators.

  • Storytelling with Data: Translating intricate computational analyses into non-technical, digestible business stories that empower key decision-makers.

  • Ad-Hoc Exploratory Research: Conducting quick-turnaround tactical statistical evaluations to isolate immediate operational challenges and revenue opportunities.

  • Quality Assurance & Governance: Maintaining rigorous enterprise data standards to ensure reporting stability, compliance, and procedural consistency.

Qualifications

Mandatory & Preferred Technical Competencies

  • Data Analysis & Processing: Demonstrable proficiency in executing descriptive, diagnostic, and exploratory data evaluations on enterprise-scale datasets.

  • Data Mining Techniques: Hands-on experience with extracting structured insight from high-volume, disparate data repositories.

  • Visualization Expertise: Familiarity with modern BI and visual analytics platforms (such as Tableau, Power BI, or Looker) to construct clear, action-oriented executive charts.

  • Relational Querying & Scripting: Solid understanding of querying languages such as SQL, along with exposure to analytical scripting tools like Python or R for processing data structures.

  • Advanced Analytics Methodologies: Strong comprehension of basic statistical principles, performance modeling, trend projection, and quantitative evaluations.

Professional Experience & Soft Skills

  • Experience Bracket: Open to talent ranging from motivated freshers to professionals with up to 3 years of hands-on data analytics experience.

  • Problem-Solving Mindset: A proactive, highly methodical approach to untangling complex operational issues and discovering hidden data insights.

  • Exceptional Communication Skills: Proven capability to present findings verbally and visually to multi-disciplinary technical and business stakeholders.

  • Attention to Detail: Meticulous work style ensuring accurate calculations, data alignment, and bug-free report outputs.

  • Adaptability & Drive: High motivation to thrive in a fast-paced environment while prioritizing multiple tasks against strict target timelines.

  • Educational Background: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, Economics, or an equivalent quantitative discipline.

Additional Info

Work Environment & Location Context

  • Base Location: Situated in Pune, Maharashtra, India, operating out of the Amar Madhuban Tech Park in Baner.

  • Working Model: Onsite engagement offering active face-to-face team collaboration and direct contact with senior analytical leaders.

  • Growth Ecosystem: Joining an established Advanced Analytics group within Sokrati and the broader global dentsu family, opening paths for long-term career advancement.

Organizational Pillars & Ethos

  • Be a Force for Good: Continuous alignment with sustainable practices, social impact initiatives, and ethical data governance standards.

  • Dream Loud: A creative culture that supports calculated risk-taking, continuous technological learning, and personal mastery.

  • Team Without Limits: An open network encouraging open discussion, inter-departmental mentorship, and continuous peer-to-peer knowledge sharing.

Application Guidelines & Hiring Specifics

  • Job Requisition Tracking: Candidates should retain Requisition ID R1127467 for all submission queries and status tracking.

  • Career Alerts & Direct Engagement: Applicants are encouraged to register for tailored talent updates to maintain visibility for upcoming opportunities.

  • Inclusivity & Opportunity: dentsu enforces equal employment opportunity standards, assessing applicants based on individual talent, experience, and potential.


Please click here to apply.


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