Sr. Data Analyst

Purchase of compelling goods and services. (SG1)

Sr. Data Analyst

Multi Recruit

Company

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Sr. Data Analyst

at Purchase of compelling goods and services. (SG1)

Agency job

via Multi Recruit

6 - 10 yrs

₹25L - ₹30L / yr

Bengaluru (Bangalore)

Skills

Data cleansing

Data Analytics

Data Visualization

Problem solving

Data Analysis

SQL Questioning

Decision making

Data Collection

Data ethics

Spread sheet

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
Work with complex SQL queries
Work with Big Query with GA integration to extract data
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Developing and maintaining databases, data systems reorganizing data in a readable format
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
Performing analysis to assess quality and meaning of data
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Robust understanding of Mix panel and Amplitude

Skill requirement:

6-8 years of experience in database management and a strong understanding of Google Analytics
Strong mathematical skills to help collect, measure, organize, and analyze data
Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Knowledge of data visualization software like Tableau
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
Accuracy and attention to detail
Adept at queries, advanced excel management, writing reports, and making presentations
Team-working skills
Verbal and Written communication skills
Proven working experience in data analysis

The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
Work with complex SQL queries
Work with Big Query with GA integration to extract data
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Developing and maintaining databases, data systems reorganizing data in a readable format
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
Performing analysis to assess quality and meaning of data
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Robust understanding of Mix panel and Amplitude

Skill requirement:

6-8 years of experience in database management and a strong understanding of Google Analytics
Strong mathematical skills to help collect, measure, organize, and analyze data
Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Knowledge of data visualization software like Tableau
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
Accuracy and attention to detail
Adept at queries, advanced excel management, writing reports, and making presentations
Team-working skills
Verbal and Written communication skills
Proven working experience in data analysis

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