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