Indegene - Campaign Analytics (5-10 yrs)
Job Summary:
We are looking for experienced analytics professional, who can handle analytics projects, specifically marketing mix, channel performance analytics, customer and brand performance analytics projects with proficiency.
Job Description:
- Candidate should have good understanding of various digital marketing channels, engagements and the business outcomes that marketers wish to drive by using these channels.
- Candidate should have good understanding of pharma industry and has preferably worked on such projects before
- Candidate should be able to leverage various technology platforms (R/Python) and statistical / data science packages to deliver insights about brand & channel performance
- Promotion Response & Marketing Mix Modeling to facilitate data-driven decision making
- Customer Segmentation - basic and advanced methodologies
- Develop user personas based on channel engagement data
- Leveraging large scale structured data to understand end user behavior to improve RoI for our marketing campaigns
- Create realistic and actionable metrics for marketing, brand and digital ops managers, including collation and delivery of brand, sales and marketing activity KPI reports.
- Well versed in using business intelligence tools like Tableau, Google data studio, PowerBI etc.
- Knowledge of digital / web and campaign analytics tracking is required
- Be a thought leader in communicating, with clients and providing them with periodic updates, insights and recommendations
- Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues are handled in a timely manner
- Provide technical and business leadership to junior team members; groom them for additional responsibilities
- Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data (e.g. Excel/VBA, SQL, SAS, Python etc.) and delivering the analyses (Excel/VBA, R, Python, SAS). Be a champion on analytics technologies within the team.
- Develop expertise in pharmaceutical datasets and be a champion within the team
Desired Profile (Education, Experience, Key Skills):
- Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, SAS/Python
- Experience required 5 to 8 Years
- Experience in managing data from different channels like email, SMS, display ads, website visits, tele calls, social media, programmatic media, etc.
- Knowledge of handling data from web analytics platforms like Google, Adobe Analytics and marketing automation platforms like Marketo, Adobe etc.
- Experience in data visualization platforms like Tableau, Power BI & Google data studio
- Knowledge of statistics and ability to run predictive, prescriptive / machine learning models in R/Python/SAS
- Ability to automate dashboards / processes per client requirements in Excel / PPT or other platforms
- Ability to perform advance analytics analyses such as, regression analysis, clustering (K-Mean, Random forest, Deciling etc.), time series modeling etc.
- Experience in pharmaceutical/retail commercial analytics
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