Our client is a leading global communications marketing firm helping business and organisations evolve, promote, and protect their brands and reputations.
Location: Mumbai
Educational 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 8+ years
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, omni channel 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.
JOB RESPONSIBILTY :
- Candidate will 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)
CANDIDATE PROFILE:-
- Experience in at least two of the following technique is required:
- Qualitative & quantitative analytics, desktop/blue-sky research
- Customer Data Platforms, Marketing Automation
- Web mining; Web analytics
- Predictive (unsupervised / supervised): Using regression in marketing mix models, Clustering using text classification models
- 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
- Cultures data-driven decision making
- Cultures empathy and compassion in dealing with people
- Experience in agency side of business will be an advantage
- Team player and self-starter
- Attention to detail
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