Specifically, Senior Analyst should –

Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework.
Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
Explore and implement various statistical and analytical techniques (including machine learning) like linear/non
linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
Interpret the output in context of the client’s business and industry to identify trends and actionable insights
Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
Discuss queries/certain sections of deliverable report over client calls or video conferences

Technical Requirements:

Knowledge of how to connect Database with Alteryx e.g. snowflake, SQL db etc. along with SQL concepts like types of joins/union of data etc.
Read data from a DB and write it back to a database
Working of macros to avoid repetition of task, and enabling schedulers to run work flow(s)
Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool
Perform end to end Data validation and prepare technical specifications and documentation for Alteryx workflows supporting BI reports.

Ideal Candidate

2-4 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
Experience in managing, cleaning and analyzing large datasets using tools like Python, R or SAS
Experience in using multiple advanced analytics techniques or machine learning algorithms
Experience in handling client calls and working independently with clients
Understanding of consumer businesses such as Retail, CPG or Telecom
Knowledge of working across multiple data types and files like flat files, RDBMS files; Alteryx workflows, Alteryx server, and multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
Basic knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

Other Skills

Senior Analyst - Alteryx