Senior Associate Data Analytics

at  Publicis Sapient

København, Region Hovedstaden, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate13 Jun, 2024Not Specified14 Mar, 2024N/APredictive Modeling,Operations,Reporting,Expert Communicator,Technology,Analytics,Attribution,Leadership Skills,Data Driven Decision Making,Teams,Knowledge Management,Workshops,Data Architecture,Research,Campaigns,Operating Models,ItNoNo
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Description:

We are seeking a data-curious self-starter and strategic thinker, with excellent strategic, analytical, technical, stakeholder management, communication and presentation skills, who is eager to share in the successes of a small, dedicated, growth-driven team.
As part of our evolving Data & Insights practice, you will be working closely with internally- and externally-sourced quantitative and qualitative data sets, as well as other inputs, will expertly craft data strategy, insights, and a well-rounded data story, to set up and convey the impact of our marketing activities with thoughtfully prepared artifacts, including measurement frameworks, performance and measurement plans and results, use cases, and executive-ready insights presentations.

QUALIFICATIONS

  • Experience working in a data analytics/data-centric business environment with a strong foundation in data strategy. Consulting background, or agency team orientation preferred.
  • Entrepreneurial and self-starter mindset, with excellent problem-solving skills.
  • Excellent leadership skills, with a focus on empathetic leadership, with a team-player attitude.
  • Expert communicator, both verbally and written, especially as it relates to breaking down complex structures into digestible and relevant points for a diverse set of colleagues, at all levels.

Main Responsibilities

  • Analyze business needs, define technical and analytical requirements, build operating models, create data strategy, use data-driven decision-making, and use a combination of tools and frameworks to uncover strategic solutions, which deliver business impact and solve stakeholder needs.
  • Continue to develop and help drive the strategy for the organization’s data strategy including data architecture, Reporting, Insights, Analytics, Operations, Predictive modeling, attribution and Machine Learning/AI.
  • Create data and performance framework templates to visually and simply convey a high-to-low level approach to goals, touchpoints, measurement, as well as specific KPI definition.
  • Leverage tools, technology, and knowledge of Journey Management practices and methodology to help teams understand how to best analyze their experience-led journeys and campaigns.
  • Maintain shareable library and knowledge management for all 3rd party insights, research and stats, for easy and searchable access.
  • Host brainstorms and workshops with data teams or marketing teams to ideate on complex data frameworks and needed solutions.
  • Lead teams to better understand how to best structure, set up, and program/implement across the Marketing Technology Stack, to best measure and track success across channels, through the end-to-end journey.
  • Drive forward a test and learn mindset, as well as before and after set up and results related to website performance, media investments, product features, or any other initiatives warranted.
  • Contribute to the evolution of our Attribution Strategies and Methodologies by maintaining in-depth understanding and tracking of marketing and brand marketing business impacts driven directly or indirectly by the work of our marketing team.
  • Ability to use data to provide actionable insights for team members and clients.

COMPANY DESCRIPTION

Publicis Sapient, the digital business transformation hub of Publicis Groupe, helps clients drive growth and efficiency and evolve the ways they work, in a world where consumer behavior and technology are catalyzing social and commercial changes at an unprecedented pace. With 17,000 people and over 100 offices around the globe, our expertise spanning technology, data sciences, consulting and creative, combined with our culture of innovation, enables us to deliver on complex transformation initiatives that accelerate our clients’ businesses through creating the products and services their customers expect

Responsibilities:

  • Analyze business needs, define technical and analytical requirements, build operating models, create data strategy, use data-driven decision-making, and use a combination of tools and frameworks to uncover strategic solutions, which deliver business impact and solve stakeholder needs.
  • Continue to develop and help drive the strategy for the organization’s data strategy including data architecture, Reporting, Insights, Analytics, Operations, Predictive modeling, attribution and Machine Learning/AI.
  • Create data and performance framework templates to visually and simply convey a high-to-low level approach to goals, touchpoints, measurement, as well as specific KPI definition.
  • Leverage tools, technology, and knowledge of Journey Management practices and methodology to help teams understand how to best analyze their experience-led journeys and campaigns.
  • Maintain shareable library and knowledge management for all 3rd party insights, research and stats, for easy and searchable access.
  • Host brainstorms and workshops with data teams or marketing teams to ideate on complex data frameworks and needed solutions.
  • Lead teams to better understand how to best structure, set up, and program/implement across the Marketing Technology Stack, to best measure and track success across channels, through the end-to-end journey.
  • Drive forward a test and learn mindset, as well as before and after set up and results related to website performance, media investments, product features, or any other initiatives warranted.
  • Contribute to the evolution of our Attribution Strategies and Methodologies by maintaining in-depth understanding and tracking of marketing and brand marketing business impacts driven directly or indirectly by the work of our marketing team.
  • Ability to use data to provide actionable insights for team members and clients


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

København, Denmark