Senior Executive - Analytics (Marketing Mix Model)
Senior Executive - Analytics
Overview of job :-
Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics,
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
Work with large data sets via hands-on data processing to produce structured data sets for analysis.
Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.
What you will need:
Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.
2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models. Proficiency in one or more coding languages – preferred languages: Python, R
Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
Proficiency in using SQL.
Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.
Working experience using big data technologies (Hive/Hadoop) is a plus
About World's largest Media Investment Company
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- 2+ years experience scripting in Python
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Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur
Notice period: Immediate - 15 days
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Job Title : Analyst / Sr. Analyst – Data Science Developer - Python
Exp : 2 to 5 yrs
Loc : B’lore / Hyd / Chennai
NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.
About the role:
We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.
Desired Skills, Competencies & Experience:
• • 2-4 years of experience in working in the analytics domain with a strong python background. • • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. • • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. • • Should be familiarized with Git workflows.
Good to Have: • • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. • • Understanding of shell scripting, python package development. • • Experienced with Python data science packages like Pandas, numpy, sklearn etc. • • ML model building and evaluation experience using sklearn.
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● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).