Marketing Analytics
Customer Segmentation & Profiling, Customer Driven Marketing, Marketing Mix and ROI and more...
Marketing Analytics
  • Marketing Mix & ROI

    Marketing mix modeling (MMM) is a statistical technique to identify the optimal mix of marketing tools (marketing mix) which when deployed leads to a quantifiable impact on future sales. Typically, involving the use of multiple regression techniques to predict an optimal mix of marketing variables and how these relate to an outcome such as sales or profits, Marketing mix analytics can be leveraged to estimate the net effect of marketing variables on a company?s sales or profits

    Our experts can help:
    1. Use predictive analytics to identify and optimize marketing investments that are most likely to produce long-term revenue growth.
    2. Simulate the impact of a change in the marketing strategy or budget?
    3. Balance out short/medium-term marketing and promotion tactics with long-term brand cultivation needs
    4. Plan and optimize marketing investments to drive sales by customer segment?
    5. Quantify the value, impact and ROI for each media channel and optimize resource allocation between traditional media and digital media.
    6. Chalk out appropriate marketing mix by region, market and channel.
Marketing Analytics Expert
Related Work
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Interested candidates can share their resume at *******************************

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We are looking at expert Data Scientists/firms who could work on helping out with service demand forecasting at service type level. 2 years of granular historical data sets shall be provided for the same. Teams with experience in the domain may bid/reach-out with queries, if any.   

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Looking for visual representation of our analytics of past 3 years to understand the customer behaviour. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report.

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Candidates with experience in the domain may bid or reach out to us for any queries.

Fixed Price - Est. Time: 12 months,

Our Client, A leading Data Sciences Consulting company is looking to augment their team with appropriate candidates with following skills. 

Overview:
This position is for a Big Data Engineer specialized in Hadoop and Spark technologies.
Responsibilities:
• Design & implement new components and various emerging technologies in Hadoop Eco System, and successful execution of various projects.
• Integrate external data sources and create data lake/data mart.
• Integrate machine learning models on real time input data stream.
• Collaborate with various cross-functional teams: infrastructure, network, database.
• Work with various teams to setup new Hadoop users, security and platform governance which should be pci-dss complaint.
• Create and executive capacity planning strategy process for the Hadoop platform.
• Monitor job performances, file system/disk-space management, cluster & database connectivity, log files, management of backup/security and troubleshooting various user issues.
• Design, implement, test and document performance benchmarking strategy for platform as well for each use cases.
• Drive customer communication during critical events and participate/lead various operational improvement initiatives.
• Responsible for setup, administration, monitoring, tuning, optimizing, governing Large Scale
• Hadoop Cluster and Hadoop components: On-Premise/Cloud to meet high availability/uptime requirements.
Education & Skills Summary:
• 2-4 years’ relevant experience in BIG DATA.
• Exposure to Cloudera/Hortonworks production implementations.
• Knowlegde of Linux and shell scripting is a must.
• Sound knowledge on Python or Scala.
• Sound knowledge on Spark, HDFS/HIVE/HBASE
• Thorough understanding of Hadoop, Spark, and ecosystem components.
• Must be proficient with data ingestion tools like sqoop, flume, talend, and Kafka.
• Candidates having knowledge on Machine Learning using Spark will be given preference.
• Knowledge of Spark & Hadoop is must.
• Knowledge of AWS and Google Cloud Platform and their various components is preferable.

Location: Gurgaon / Mumbai

No of Postion: 2/1

Fixed Price - Est. Time: 12 months,

Our Client, A leading Data Sciences Consulting company is looking to augment their team with appropriate candidates with following skills. 

What do we expect from you?
• Analyze & interpret data and communicate results to clients, often with the aid of
mathematical/statistical techniques and software. This role requires:
• Data exploration, mathematical/statistical modelling, data analysis and hypothesis testing.
• Design, development and deployment of Predictive models and frameworks.
• Complex statistical concepts are explained in a way that clients can understand and advice on strategy.
What do you need to excel at?
• Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
• Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
• Design and build dashboards and other visualizations in BI tools.
• Should be able to handle assigned tasks in the capacity of individual contributor.
• Demonstrate excellent teamwork.
• Collaborate with other data analysts to provide development coverage, support, and
knowledge sharing and mentoring of junior team members.
What are we looking for?
• Bachelor's in Computer Science/ Engineering, Statistics, Math or related quantitative degree
or equivalent work experience.
• Experience with modelling techniques such as clustering, linear & logistic regression, random
forest etc.
• Experience in working with unstructured data and text analytics.
• Must have a passion for data, structured or unstructured.
• 2-4 years of hands-on experience with R/Python and SQL is must.
• Should have sound experience in data mining and data analysis.
• Excellent critical thinking, verbal and written communications skills.
• Ability and desire to work in a proactive, highly engaging, high-pressure, client service
environment.
• Good presentation skills.

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Looking for visual representation of our analytics of past 3 years to understand the customer behaviour. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report.

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We are entering Ugandan market to manufacture and market the various pharma products. We want to identify the surgical gloves demand supply gap in uganda market for Government and private hospitals.