Sr. Data Analyst

Purchase of compelling goods and services. (SG1)

Sr. Data Analyst

Sr. Data Analyst at Purchase of compelling goods and services. (SG1) · Bengaluru (Bangalore) · 6 - 10 years · ₹25L - ₹30L / yr · Posted 22 Nov 2021

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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Job Details

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Employment Type: Full-time

Work Mode: Onsite

Working Days: Five days a week

Who We Are

Since 2014, we have partnered with 500+ organisations, including CK Birla Group, UpGrad, IIT Madras, IIT Delhi, and IIM Bangalore, and supported over 20 lakh Indians.

Learn more at www.yourdost.com.

About the Role

We are looking for a Product Analyst / Business Analyst who can use data and structured thinking to support product decisions and execution.

What You Will Do

Analyse user behaviour, funnels, engagement, retention, and other product metrics.
Build dashboards and convert data into clear, actionable insights.
Translate business requirements into user stories, workflows, and acceptance criteria.
Work with Product, Technology, and Design teams during planning and development.
Conduct UAT, identify edge cases, and validate releases.
Measure the impact of product changes and recommend improvements.
Conduct competitor, market, and customer research.
Use AI and no-code tools to improve research, analysis, and workflows.

Who Can Apply

1–3 years of experience in Product Analysis, Business Analysis, Product Operations, or Data Analysis.
Strong analytical and problem-solving skills.
Advanced knowledge of Excel or Google Sheets.
Working knowledge of SQL and BI tools such as Power BI, Tableau, Looker Studio, or Metabase.
Familiarity with product analytics tools such as Mixpanel, GA4, or Amplitude.
Experience creating user stories, acceptance criteria, and conducting UAT.
Ability to work effectively with Product and Technology teams.
Strong attention to detail and communication skills.
Startup experience and an interest in mental health or consumer technology are a plus.

Why Join Us

Work at the intersection of product, data, and business.
Directly influence product decisions through analysis and insights.
Get end-to-end exposure to building, launching, and improving products.
Work on products that meaningfully impact people’s well-being.

Job Details

Location: HSR Layout, Bengaluru

Employment Type: Full-time

Work Mode: Onsite

Working Days: Five days a week

Data Analyst Intern

at LetsIntern

1 candid answer

Posted by Ashish Singh

Remote only

0 - 1 yrs

₹15000 - ₹18000 / mo

Data Analytics

About Us

Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.

Role Overview

As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.

Key Responsibilities

Collect and organize data.
Analyze datasets and identify trends.
Prepare reports and visualizations.
Work with Excel, spreadsheets, or analytical tools.
Assist with dashboards and data-driven insights.
Explore AI tools for data analysis.

Requirements

Basic understanding of data analysis.
Familiarity with Excel or Google Sheets.
Basic knowledge of SQL or Python is a plus.
Analytical mindset.
Good attention to detail.

Perks

Certificate of Internship
Flexible work hours
Mentorship and real project exposure
Potential for PPO
Letter of Recommendation
Performance-Based Stipend available up to ₹18,000/month

About Us

Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.

Role Overview

As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.

Key Responsibilities