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Senior Account Manager - Digital (Advisory)

Senior Account Manager - Digital (Advisory)

ConfidentialIndia
20 days ago
Job description

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises : boldness is possibility, empathy is progress, and curiosity is momentum.

At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.

About the Team

We are Digital Advisory, a data-led specialty consulting practice that is a key offering across all our business verticals. We create value by delivering compelling insights based on digital data to inform clients about their industry, audience, competition that in turn strategically guide their narrative, campaigns, brand while operating in the full glare of the public spotlight and whose reputations shape their businesses.

We have deep industry expertise and advise on content and channel strategy, audience psychography, buyer journey, internet behaviors, unstructured text mining, ORM, employee engagement & advocacy, influencer discovery, vetting and exploratory research & analytics.

We take pride in delivering exceptional work for our clients but, at our core, we are a non-hierarchical team who like to spend time together in and out of the office. We are relentlessly collaborative, and supported by leadership who champion and celebrate our collective achievements

About The Role

We are looking for an ambitious, proactive, and motivated individual with solid exploratory research, digital analytics experience, able to lead day-to-day management of accounts. The Senior Account Manager candidate should be

capable of driving analytics design, ideate innovative approaches to derive meaning from unstructured / structured digital data, omnichannel campaign measurements, Web traffic data and translate those into actionable insights. This role will prosper in the intersection of analytics, business and people acumen. Experience in scoping commercials of research / analytics projects, overall financial management - project planning, workload management, budgeting, and managing service levels will be a plus.

The candidate will be responsible for overseeing quality and operational performance of accounts, ensuring work quality and deadline adherence for junior members of teams, and providing close coaching and development. We are looking for someone who has the experience and gravitas to present confidently and expertly to clients, serving as the day-to-day contact where appropriate and providing counsel from an informed point of view.

Responsibilities :

  • Own the digital advisory vision and mission - execute ideas to improvise Digital Advisory offering capabilities
  • Listen to clients and translate their high level business problems into analytics objectives
  • Deliver strategic insights that can drive practical actions to bring desired business outcome
  • Work closely and report to Head- Digital Advisory to take the offering forward
  • Front-end client relationships building trusted and deep partnerships thereby putting digital advisory at the center of client's communication needs
  • Bring in knowledge about a digital buyer journeys across sectors to identify gaps, conversion bottlenecks and provide analytic approaches to solve
  • Apply appropriate data science techniques to derive meaning from digital big data, esp. using ML and NLP
  • Advise internal & external stakeholders to deliver outcome focused deliverables
  • Lead a diverse team of digital specialists in an extremely fast paced work environment with strict SLAs and less turnaround time
  • Own the digital advisory vision and mission - execute ideas to improvise Digital Advisory offering capabilities
  • Create easy-to-consume leadership communications (e.g., slides, reporting tools and dashboards), evaluate and recommend appropriate MarTech

Qualifications :

Bachelors or Masters in a quantitative / business field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modelling / Data Science, Business Analytics, Marketing, Operational Research), preferably with work experience of 4+ years

Required Skills : Technical acumen

Experience in at least two of the following technique is required :

o Qualitative & quantitative analytics, desktop / blue-sky research

o Customer Data Platforms, Marketing Automation

o Web mining Web analytics

o Predictive (unsupervised / supervised) : Using regression in marketing mix models, Clustering using text classification models

o Programming in high-level languages - Python & R

  • One who is digitally savvy and has fair understanding of various digital data sources, its complexities and cultures authentic points-of-view around analytical approaches to harness the same for modern marketing
  • Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment
  • Sound understanding of omnichannel digital buyer journey and touchpoints
  • Familiarity with ETL / ELT and big data tech (SQL / NoSQL / postgreSQL etc. and
  • Hadoop, Spark), data lakes - will be an added advantage

    Business acumen

  • Strong verbal and written communication is a key success factor
  • Structured thinking and persuasion are key enablers to deliver actionable
  • insights

  • Tenacity to challenge status quo and solve problems
  • Ability to differentiate between an outcome v / s output
  • Experience in agency side of business will be an advantage
  • Team player and self-starter
  • Attention to detail
  • We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

    Skills Required

    Sql, ELT, Digital Analytics, exploratory research , Hadoop, Marketing Automation, Etl, web mining, Web Analytics, quantitative analytics , Nosql, Postgresql, Spark

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