Senior Data Analyst Data Analytics
Publicis Groupe · Bengaluru
Overview
About Business Unit:
Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.
Role Summary:
Senior Data Analyst is accountable for accurate, on-time delivery of multiple and concurrent statistical deliverables, builds and presents statistically sound models and profiles using current, standard programs and statistically sound techniques, translates clients’ needs into project plans and develops strong working relationships with key people in other departments.
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.
Responsibilities
Key Accountabilities:
Handle all aspects of data modeling processing – includes, but is not limited to the following:
- Accuracy
- Accountable for accurate, on-time delivery of all statistical deliverables
- Ability to conduct small, medium scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
- Independently build and present internally statistically sound models using current, standard programs
- Apply industry techniques/ideas/trends to current systems
- Consult/explain complex statistical ideas to internal clients
- Translate clients’ needs into project plans
- Able to answer questions about data sets and analyses
- Able to become familiar with and align with the group’s policies and procedures for programming, project documentation, and system management
- Able to master the desktop and UNIX tool set (Python , SAS, SAS ODS, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc.
- Able to become proficient with the different types of quantitative modeling offerings provided by the Analytical group
- Work with internal departments to troubleshoot a variety of problems.
- Effectively explain results of troubleshooting
- Lead statistical training on standard models to other departments.
- Employ sound statistical techniques
- Able to manage to project deadlines
- Lead low - to medium-level complexity projects
- Consult with other departments on ways to improve systems
- Develop strong working relationships with key people in other departments
- May provide statistical training to stats department
- Ability to write new Python/SAS code, improve current code, and understand all code being used
- On Time Delivery
- Keep Onshore updated on the status of all Models in progress
- Monitor and document progress of job through Jira system
- Responsible for managing own workload to ensure on time delivery; may require securing help from others at times
- Work with Account Specialist and Sales to troubleshoot stalled jobs due to incorrect or missing information in a timely manner
- Deals with ambiguity while maintaining composure and problems solving under tight deadlines
- Ensure successful completion and publishing of all Model requests
- Effective Teams
- Builds rapport within team and across department
- Provides timely information to internal customers providing necessary information to make accurate and quality decisions
- Before leaving on PTO, arrangements are to be made within team for backup to finish the outstanding jobs; and communication made to AS regarding handoff
Qualifications
Minimum Qualifications:
- Bachelor’s / Master’s degree in a quantitative field
- 4-6 years prior experience with data analysis or modeling with large transactional databases
- Minimum 2 years’ experience in a statistical field
- Minimum 2 years’ experience conducting original research
- Experience working in Python environment is desired
Interfaces / Metrics (if applicable):
- Interfaces include but are not limited to:
- Python
- SAS EG
- UNIX
- Model Performance
- Stats
- Client Services
- Data Acquisition & Data Performance
- T&D
- Meet or exceed expectations in support of department objectives including:
- Accuracy – Model results
- On Time Delivery
- Service Level Agreements are met, and workload is balanced across team
- Interpersonal Core Competencies - Effective Teams
- Accountability, Communication and Teamwork
- Protects Business Integrity
- Adheres to business best practices, demonstrates integrity and looks for new opportunities for improving quality
- Training – Knowledge and Skill Development
Additional Information
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
- People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
- Collaboration: We work together, support one another, and collectively achieve goals.
- Growth: There are endless opportunities for growth through learning, development and career advancement.
- Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
- Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and consumers.
- Act with integrity
- Work together to win together
- Innovate with purpose
- Respect all voices
- Empower with accountability
These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.
Epsilon is an Equal Opportunity Employer.
Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.
Key Accountabilities:
Handle all aspects of data modeling processing – includes, but is not limited to the following:
- Accuracy
- Accountable for accurate, on-time delivery of all statistical deliverables
- Ability to conduct small, medium scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
- Independently build and present internally statistically sound models using current, standard programs
- Apply industry techniques/ideas/trends to current systems
- Consult/explain complex statistical ideas to internal clients
- Translate clients’ needs into project plans
- Able to answer questions about data sets and analyses
- Able to become familiar with and align with the group’s policies and procedures for programming, project documentation, and system management
- Able to master the desktop and UNIX tool set (Python , SAS, SAS ODS, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc.
- Able to become proficient with the different types of quantitative modeling offerings provided by the Analytical group
- Work with internal departments to troubleshoot a variety of problems.
- Effectively explain results of troubleshooting
- Lead statistical training on standard models to other departments.
- Employ sound statistical techniques
- Able to manage to project deadlines
- Lead low - to medium-level complexity projects
- Consult with other departments on ways to improve systems
- Develop strong working relationships with key people in other departments
- May provide statistical training to stats department
- Ability to write new Python/SAS code, improve current code, and understand all code being used
- On Time Delivery
- Keep Onshore updated on the status of all Models in progress
- Monitor and document progress of job through Jira system
- Responsible for managing own workload to ensure on time delivery; may require securing help from others at times
- Work with Account Specialist and Sales to troubleshoot stalled jobs due to incorrect or missing information in a timely manner
- Deals with ambiguity while maintaining composure and problems solving under tight deadlines
- Ensure successful completion and publishing of all Model requests
- Effective Teams
- Builds rapport within team and across department
- Provides timely information to internal customers providing necessary information to make accurate and quality decisions
- Before leaving on PTO, arrangements are to be made within team for backup to finish the outstanding jobs; and communication made to AS regarding handoff
Minimum Qualifications:
- Bachelor’s / Master’s degree in a quantitative field
- 4-6 years prior experience with data analysis or modeling with large transactional databases
- Minimum 2 years’ experience in a statistical field
- Minimum 2 years’ experience conducting original research
- Experience working in Python environment is desired
Interfaces / Metrics (if applicable):
- Interfaces include but are not limited to:
- Python
- SAS EG
- UNIX
- Model Performance
- Stats
- Client Services
- Data Acquisition & Data Performance
- T&D
- Meet or exceed expectations in support of department objectives including:
- Accuracy – Model results
- On Time Delivery
- Service Level Agreements are met, and workload is balanced across team
- Interpersonal Core Competencies - Effective Teams
- Accountability, Communication and Teamwork
- Protects Business Integrity
- Adheres to business best practices, demonstrates integrity and looks for new opportunities for improving quality
- Training – Knowledge and Skill Development
More jobs at Publicis Groupe · Data & Analytics jobs in Bengaluru