Analyst - Analytics and Customer Insights

The Analyst - Analytics and Customer Insights is responsible for tracking, compiling and reporting customer research metrics that are derived from multiple data points in order to support business decisions. He/ She compiles data from multiple customer measurement tools, social media platforms and market research studies and organizes the data in formats suitable for analysis. He performs data analysis using defined tools and techniques and delivers insights across various customer segments, genres and media platforms. He also supports the development of reports based on data analytics findings. The work involves data collection, analysis, insight generation and reporting to various departments as required. This involves high amount of coordination and stakeholder management. He has knowledge of analytics tools, research techniques and statistical models. He may often be expected to know machine learning, natural language processing and advanced statistical modelling as well. He should be comfortable in the interpretation of business metrics. He ought to be an effective communicator and a creative thinker. He should also show high attention to detail.

Skills and Competencies

Technical Skills & Competencies

Concept Creation
Proficiency Level
"Create original concepts using different techniques. "
3
Customer Behavior Analysis
Proficiency Level
"Analyse data to develop insights pertaining to customer behaviors such as how marketing activities may be impacted to increase customer base "
3
Data Analytics
Proficiency Level
"Identify and process data according to required formats. "
2
"Conduct data studies and present insights and trends in datasets."
3
Data Visualisation
Proficiency Level
"Select appropriate visualisation techniques and develop dashboards to reflect data trends and findings "
3
Market Research
Proficiency Level
Plan market, competitor and customer research activities and analyze trends and dynamics through information gathered
3

Generic Skills & Competencies

Computational Thinking
Proficiency Level
Use computational models, tools and techniques to identify patterns in a problem and develop a solution.
Basic
Digital Literacy
Proficiency Level
Use available software features to create and edit documents, customize templates and reports and evaluate online information.
Intermediate
Communication
Proficiency Level
"Communicate information with others to respond to general inquiries and to obtain specific information. "
Basic
Teamwork
Proficiency Level
Contribute to a positive and cooperative working environment by fulfilling own responsibilities and providing support to co-workers to achieve team goals.
Basic
Problem Solving
Proficiency Level
Identify easily perceivable problems and follow given guidelines and procedures to solve the problems.
Basic

Critical Work Functions and Key Tasks

Plan data analytics operations

• Provide technical inputs to the planning of data analytics and market research projects
• Provide inputs on the effectiveness of current available metrics and the feasibility of data collection for the development of new metrics 
for research projects
• Develop checklists and tracking tools to ensure adherence to data quality control standards
• Conceive templates, dashboards and other visualization tools for specific projects 

Execute data analytics operations

• Support quantitative and qualitative analysis teams in the execution of qualitative and quantitative market research projects
• Collect data on products, services, platforms, customer segments and/or market segments from various data sources and customer 
measurement systems 
• Perform data cleaning and transformation to ensure suitability for analyses
• Assess data quality to gauge suitability for analysis
• Perform data analytics using appropriate tools and techniques
• Interpret data analytics findings
• Generate graphs, dashboards and visualizations with core metrics and key performance indicators (KPIs) to measure business 
performance
• Contribute inputs to the development of recommendations from the data analytics findings
• Generate reports to share insights from research and analysis with other departments and/or stakeholders

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