2810 Analysts jobs in Bengaluru

Job Description
The CRM Data Quality and Analytics Specialist is responsible for ensuring the integrity, accuracy, and efficiency of data within the CRM platform. This role combines expertise in data quality management and analytics to improve data-driven decision-making and optimize customer relationship strategies. By maintaining high-quality data, identifying trends, and providing actionable insights, this role supports business teams in delivering personalized and effective customer experiences. The specialist will play a critical role in enhancing the performance of the CRM system, ensuring it serves as a valuable tool for marketing, sales, and customer support functions.

Job Accountabilities
User data audit and management

• Conduct an audit on the CRM user data and identify anomalies, incomplete and outdated data.
• Work with regions to keep the user accounts updated with all relevant information.
• Work with Infra team to enforce best practices in user creation and management.
• Drive cost optimization through user data management.

Accounts: Data audit and assessment

• Identify duplicate, incomplete, and outdated data.

Data cleanup

• Clean up incomplete and outdated data.

Account: Establish data governance

• Define data quality standards and protocols.

Enforce data standards.

• Educate users through training of the global KPI´s (User Trainings to be done by Superusers)
• Enforce data standards through product features (validation/ integrations with product masters).
• Identify opportunities for automation to reduce the need for manual data entry.

Leads data management.

• Audit, clean up and management (same steps at above)

Opportunities data management

• Audit, clean up and management (same steps at above)

Identify and eliminate data leakages.

• Re-evaluate all integrations (Customer platform, quotes module, marketing) and identify all data leakages.
• Drive product roadmap on fixing integration leakages.

Key Deliverables

• Data Quality improvement in the Commercial Systems for Reporting and Management
• Increased discipline in sales execution
• responsible for maintaining high data quality, ensuring data integrity, and leveraging analytics to drive business decisions.

Qualifications

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Administration, or a related field.
• Certification in CRM platforms (e.g., Salesforce, Microsoft Dynamics, HubSpot) is a plus.
• Training or certification in Data Management, Data Governance, or Business Intelligence tools is desirable.

Skills

• CRM Expertise: Strong knowledge of CRM platforms, including user management, data structures, and reporting features.
• Data Quality & Governance: Experience in data auditing, cleansing, validation, and governance best practices.
• Analytical Skills: Ability to analyze data trends, identify inconsistencies, and provide actionable insights.
• Automation & Integration: Understanding of automation tools, CRM integrations, and reducing manual data entry through system enhancements.
• Problem-Solving: Ability to identify data leakages and implement corrective actions.
• Technical Proficiency: Familiarity with SQL, data visualization tools (Tableau, Power BI), and Excel for data analysis.
• Collaboration & Communication: Strong ability to work cross-functionally with business teams, IT, and regional stakeholders.
• Training & Change Management: Ability to educate and guide teams on data quality standards and best practices.

Experience

• 3-5 years of experience in CRM data management, data analytics, or business intelligence.
• Proven experience in auditing, cleaning, and maintaining large datasets within CRM systems.
• Experience working with cross-regional teams to implement data governance policies.
• Exposure to CRM system enhancements, including integrations and automation to improve data efficiency.
• Prior experience in a sales, or customer support environment is a plus.

About the Role

We’re looking for two data-driven interns to join our Assortment & Space Planning team. The interns will work closely with the Category and Replenishment functions to refine assortment strategy, optimize non-moving inventory, and support curation decisions through data analytics. This role offers hands-on exposure to real retail operations, business problem-solving, and data-based decision-making.

Key Responsibilities

• Analyze store-level sales, DOH, and inventory data to identify slow-moving SKUs and recommend rationalization actions
• Support assortment curation by benchmarking category performance across states and sub-categories
• Build and maintain Excel/SQL dashboards and trackers to automate daily/weekly monitoring of assortment health metrics
• Collaborate with Category Managers and Replenishment teams to drive actionable insights and implement assortment updates

Requirements

• Strong proficiency in Excel/Google Sheets (advanced formulas, pivot tables, data cleaning)
• Basic working knowledge of SQL for querying and analyzing large datasets
• Strong analytical mindset with an ability to translate data into actionable business insights
• Detail-oriented, structured, and comfortable working with large, unclean datasets

Preferred Skills (Good to Have)

• Prior internship or coursework involving data analytics, supply chain, or category management
• Understanding of retail metrics such as DOH, GMROI, ADS, and Sell-through

About the Role

We’re looking for two data-driven interns to join our Assortment & Space Planning team. The interns will work closely with the Category and Replenishment functions to refine assortment strategy, optimize non-moving inventory, and support curation decisions through data analytics. This role offers hands-on exposure to real retail operations, business problem-solving, and data-based decision-making.

Key Responsibilities

• Analyze store-level sales, DOH, and inventory data to identify slow-moving SKUs and recommend rationalization actions
• Support assortment curation by benchmarking category performance across states and sub-categories
• Build and maintain Excel/SQL dashboards and trackers to automate daily/weekly monitoring of assortment health metrics
• Collaborate with Category Managers and Replenishment teams to drive actionable insights and implement assortment updates

Requirements

• Strong proficiency in Excel/Google Sheets (advanced formulas, pivot tables, data cleaning)
• Basic working knowledge of SQL for querying and analyzing large datasets
• Strong analytical mindset with an ability to translate data into actionable business insights
• Detail-oriented, structured, and comfortable working with large, unclean datasets

Preferred Skills (Good to Have)

• Prior internship or coursework involving data analytics, supply chain, or category management
• Understanding of retail metrics such as DOH, GMROI, ADS, and Sell-through

About the Role

We’re looking for two data-driven interns to join our Assortment & Space Planning team. The interns will work closely with the Category and Replenishment functions to refine assortment strategy, optimize non-moving inventory, and support curation decisions through data analytics. This role offers hands-on exposure to real retail operations, business problem-solving, and data-based decision-making.

Key Responsibilities

• Analyze store-level sales, DOH, and inventory data to identify slow-moving SKUs and recommend rationalization actions
• Support assortment curation by benchmarking category performance across states and sub-categories
• Build and maintain Excel/SQL dashboards and trackers to automate daily/weekly monitoring of assortment health metrics
• Collaborate with Category Managers and Replenishment teams to drive actionable insights and implement assortment updates

Requirements

• Strong proficiency in Excel/Google Sheets (advanced formulas, pivot tables, data cleaning)
• Basic working knowledge of SQL for querying and analyzing large datasets
• Strong analytical mindset with an ability to translate data into actionable business insights
• Detail-oriented, structured, and comfortable working with large, unclean datasets

Preferred Skills (Good to Have)

• Prior internship or coursework involving data analytics, supply chain, or category management
• Understanding of retail metrics such as DOH, GMROI, ADS, and Sell-through

About the Role

We’re looking for two data-driven interns to join our Assortment & Space Planning team. The interns will work closely with the Category and Replenishment functions to refine assortment strategy, optimize non-moving inventory, and support curation decisions through data analytics. This role offers hands-on exposure to real retail operations, business problem-solving, and data-based decision-making.

Key Responsibilities

• Analyze store-level sales, DOH, and inventory data to identify slow-moving SKUs and recommend rationalization actions
• Support assortment curation by benchmarking category performance across states and sub-categories
• Build and maintain Excel/SQL dashboards and trackers to automate daily/weekly monitoring of assortment health metrics
• Collaborate with Category Managers and Replenishment teams to drive actionable insights and implement assortment updates

Requirements

• Strong proficiency in Excel/Google Sheets (advanced formulas, pivot tables, data cleaning)
• Basic working knowledge of SQL for querying and analyzing large datasets
• Strong analytical mindset with an ability to translate data into actionable business insights
• Detail-oriented, structured, and comfortable working with large, unclean datasets

Preferred Skills (Good to Have)

• Prior internship or coursework involving data analytics, supply chain, or category management
• Understanding of retail metrics such as DOH, GMROI, ADS, and Sell-through

Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

Data Science -Machine Learning - 7+ Years - Remote

We are looking for a professional as Data Scientist with proficiency over Python and SQL or Azure.

Your Future Employer: - You will be working with a prestigious organization known for its commitment to diversity, equality and inclusion. They offer a dynamic work environment, opportunities for career growth, and a supportive team culture.

Location: - Remote

Responsibilities

1. Superior analytical and problem-solving skills

2. High Proficiency in Python Coding along with good knowledge of SQL

3. Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy etc.

4. Proficient hands on experience over using NLP.

5. Deep rooted knowledge of Traditional Machine Learning Algorithms & Advanced modelling techniques (e.g. Time series forecasting and analysis etc.) and Text Analytics technique (NLTK, Genism, LDA etc.)

6. Must have hands on experience of building and deploying Predictive Model.

Requirements

1. Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

2. 7+ years experience of working as a Data Scientist

3. Strong and in-depth understanding of statistics, data analytics

4. Superior analytical and problem-solving skills

5. Outstanding written and verbal communication skills

What is in it for you: -

1. A stimulating work environment with equal employment opportunity.

2. Work in a fast-paced environment in established brand.

3. Grow in a culture focused on training and mentoring.

Reach us: If this role is aligned with your career, kindly write me an email along with your updated resume at for a confidential discussion on the role.

Disclaimer: Crescendo Global in specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Note: We receive a lot of applications daily, so it may not be possible to respond to each one individually. Please assume that your profile has not been shortlisted if you don't hear from us in a week. Thank you for your understanding.

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Profile Keywords: Data science, Data scientist, Python, SQL, Statistical Modelling, NLP, Machine Learning, Power BI Stochastic Modelling, GLM / Regression