India presents extensive opportunities in data analytics, reflecting the country's growing tech sector. Job roles span across data science, 2,127 Data Analytics jobs in India
Lead data analyst / data analyst manager
Delhi, Delhi
MetaMorph
Job Viewed
Job Description
About Meta Morph: We at Meta Morph, empower startups to scale and innovate by placing people at the centre of their strategy. With a proven track record of supporting over 220 startups, we specialise in aligning talent with organizational needs, enhancing employee skills, and transforming employer brands. Our data-driven insights fuel decision-making and provide comprehensive support for both acquisition and being acquired, ensuring you are covered from every angle—360°.
Key Responsibilities (Strategic & Operational):
Analytics Strategy Execution: Implement the data analytics roadmap for the FMCG business as defined by senior leadership. Identify key business questions and determine what data analysis is needed (sales trends, customer behavior, product performance, etc.) to answer them.
Data Collection & Management: Work with IT and operations to ensure data from all outlets (POS systems, online orders, loyalty programs, etc.) is being captured accurately in a centralized data warehouse or analytics system. Improve data quality and integrity through regular audits and validation. Business Insights & Reporting: Analyze large datasets to extract trends and insights on sales performance, popularity of products, customer demographics, and marketing campaign effectiveness. Develop and maintain dashboards and regular reports for different stakeholders (management, marketing, operations) highlighting key KPIs such as same-store sales growth, average ticket size, customer retention rates, etc.
Performance Optimization: Provide data-driven recommendations to improve business outcomes – for example, insights on optimal store operating hours, inventory forecasts to reduce waste, or personalized promotion strategies to increase customer loyalty. Collaborate with marketing and operations teams to test and implement these recommendations.
Tool Implementation: Support the deployment and use of business intelligence (BI) tools and analytics software. Ensure the team is leveraging the right tools (Excel, Tableau/Power BI, SQL, Python, etc.) for efficient analysis and visualization. Work on automating routine reports for efficiency.
Cross-Functional Projects: Participate in cross-functional initiatives such as new product launches or market expansion studies, contributing analytical inputs. For example, help evaluate potential new store locations by analyzing demographic and sales data, or assess the impact of pricing changes on sales volumes.
Required Skills & Competencies:
Technical Analytics Skills: Strong proficiency in data analysis tools and techniques – including advanced Excel, SQL querying, and at least one analytics or visualization tool (Tableau, Power BI, or similar). Ability to handle large datasets and perform complex analyses.
Analytical Thinking: Excellent problem-solving skills with a knack for identifying patterns and root causes from data. Able to translate ambiguous business problems into structured analytical approaches.
Business Acumen: Good understanding of business operations and metrics, ideally in retail or consumer businesses. Able to connect data findings to real-world business implications (e.g., how footfall and conversion rates affect revenue).
Preferred Background & Domain Expertise:
Industry Experience: Experience in data analytics or business intelligence roles within QSR, retail, e-commerce, or consumer goods companies . Familiarity with analyzing sales data, customer purchase patterns, or supply chain metrics in a multi-unit context is highly beneficial.
Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Business Analytics or related field. An MBA with a focus on analytics or operations can also be useful when paired with strong technical skills.
Project Experience: Hands-on experience implementing analytics projects that had tangible business outcomes (e.g., improved sales through customer segmentation, cost savings through inventory optimization).
Experience in an organization scaling up its analytics function is a plus.
International Exposure: Any experience with analytics for markets outside India (for instance, understanding consumer data trends in the UK or handling datasets from different regions) is a plus, aiding in readiness for international expansion.
Key Responsibilities (Strategic & Operational):
Analytics Strategy Execution: Implement the data analytics roadmap for the FMCG business as defined by senior leadership. Identify key business questions and determine what data analysis is needed (sales trends, customer behavior, product performance, etc.) to answer them.
Data Collection & Management: Work with IT and operations to ensure data from all outlets (POS systems, online orders, loyalty programs, etc.) is being captured accurately in a centralized data warehouse or analytics system. Improve data quality and integrity through regular audits and validation. Business Insights & Reporting: Analyze large datasets to extract trends and insights on sales performance, popularity of products, customer demographics, and marketing campaign effectiveness. Develop and maintain dashboards and regular reports for different stakeholders (management, marketing, operations) highlighting key KPIs such as same-store sales growth, average ticket size, customer retention rates, etc.
Performance Optimization: Provide data-driven recommendations to improve business outcomes – for example, insights on optimal store operating hours, inventory forecasts to reduce waste, or personalized promotion strategies to increase customer loyalty. Collaborate with marketing and operations teams to test and implement these recommendations.
Tool Implementation: Support the deployment and use of business intelligence (BI) tools and analytics software. Ensure the team is leveraging the right tools (Excel, Tableau/Power BI, SQL, Python, etc.) for efficient analysis and visualization. Work on automating routine reports for efficiency.
Cross-Functional Projects: Participate in cross-functional initiatives such as new product launches or market expansion studies, contributing analytical inputs. For example, help evaluate potential new store locations by analyzing demographic and sales data, or assess the impact of pricing changes on sales volumes.
Required Skills & Competencies:
Technical Analytics Skills: Strong proficiency in data analysis tools and techniques – including advanced Excel, SQL querying, and at least one analytics or visualization tool (Tableau, Power BI, or similar). Ability to handle large datasets and perform complex analyses.
Analytical Thinking: Excellent problem-solving skills with a knack for identifying patterns and root causes from data. Able to translate ambiguous business problems into structured analytical approaches.
Business Acumen: Good understanding of business operations and metrics, ideally in retail or consumer businesses. Able to connect data findings to real-world business implications (e.g., how footfall and conversion rates affect revenue).
Preferred Background & Domain Expertise:
Industry Experience: Experience in data analytics or business intelligence roles within QSR, retail, e-commerce, or consumer goods companies . Familiarity with analyzing sales data, customer purchase patterns, or supply chain metrics in a multi-unit context is highly beneficial.
Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Business Analytics or related field. An MBA with a focus on analytics or operations can also be useful when paired with strong technical skills.
Project Experience: Hands-on experience implementing analytics projects that had tangible business outcomes (e.g., improved sales through customer segmentation, cost savings through inventory optimization).
Experience in an organization scaling up its analytics function is a plus.
International Exposure: Any experience with analytics for markets outside India (for instance, understanding consumer data trends in the UK or handling datasets from different regions) is a plus, aiding in readiness for international expansion.
This advertiser has chosen not to accept applicants from your region.
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Data Analytics
Chennai, Tamil Nadu
Skill Ventory
Posted today
Job Viewed
Job Description
Roles and Responsibilities
Hiring for a Leading Private Sector BankResponsibilities :-
This advertiser has chosen not to accept applicants from your region.
0
Data, Analytics,
Hyderabad, Andhra Pradesh
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• Build a world-class team of data scientists and engineers; mentor team, both in terms of daily troubleshooting and long-term career development; over time, build a reputation for LS&Co. as an employer of choice for data and AI professionals.
• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
This advertiser has chosen not to accept applicants from your region.
1
Data Analytics
New Delhi, Delhi
Talent Worx
Posted today
Job Viewed
Job Description
Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
This advertiser has chosen not to accept applicants from your region.
2
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
3
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
4
Data Analytics
Bengaluru, Karnataka
Ushankk
Posted today
Job Viewed
Job Description
**Data Analytics**
***
**Location**: Bangalore/Gurgaon/Noida
**Industry**: IT
**Skill**: Adobe Analytics
**Experience**: 4 - 8 years
**Hiring for Data Analytics**
**Exp range - 4 to 8 years.**
Yesterday, the team had a discussion regarding these open needs. As we have been facing challenges in getting profiles for Tealium iQ, we would like to expand our search. Hence, for these roles it would be great if you can start the search for below skillsets (keywords):
** Must** - Adobe Analytics, JavaScript
- ** Others**:
- Implementation, (Tagging Guide, Tagging Strategy) - Any 1,
- HTML, CSS, (Solution design, SDR) - Any 1,
- GTM, Launch, Ensighten, Tealium)
- Any 1
Please find below the detailed job responsibilities
MUST HAVES
Proficient in delivering **Adobe Analytics** solutions along with exposure of working with technology and business teams in deploying future ready, flexible & scalable digital platforms.
- Individual contributor who is involved in development and deployment of analytics solutions for Analytics and optimization SDLC.
- Be able to understand analytics requirements and convert those to analytics solution design.
- Create Solution Design Reference (SDR) followed by creating Technical Specifications or Tagging Strategy Document.
- Good understanding of solution deployment process.
- Having experience with tagging multiple business/brand sites built on various platforms
- Proficiency in **JavaScript & CSS** selectors for performing DOM scraping and troubleshooting analytics implementations.
- Able to create specifications for hierarchical or flat data layer and work with front-end teams in deploying it.
- Validate analytics deployment with one or more debugging tools and ability to work with multiple development teams.
- Participate in clients' QA and deployment processes (Agile methodology, etc.)
- Good understanding of clickstream KPIs and analytics reports
***
**Location**: Bangalore/Gurgaon/Noida
**Industry**: IT
**Skill**: Adobe Analytics
**Experience**: 4 - 8 years
**Hiring for Data Analytics**
**Exp range - 4 to 8 years.**
Yesterday, the team had a discussion regarding these open needs. As we have been facing challenges in getting profiles for Tealium iQ, we would like to expand our search. Hence, for these roles it would be great if you can start the search for below skillsets (keywords):
** Must** - Adobe Analytics, JavaScript
- ** Others**:
- Implementation, (Tagging Guide, Tagging Strategy) - Any 1,
- HTML, CSS, (Solution design, SDR) - Any 1,
- GTM, Launch, Ensighten, Tealium)
- Any 1
Please find below the detailed job responsibilities
MUST HAVES
Proficient in delivering **Adobe Analytics** solutions along with exposure of working with technology and business teams in deploying future ready, flexible & scalable digital platforms.
- Individual contributor who is involved in development and deployment of analytics solutions for Analytics and optimization SDLC.
- Be able to understand analytics requirements and convert those to analytics solution design.
- Create Solution Design Reference (SDR) followed by creating Technical Specifications or Tagging Strategy Document.
- Good understanding of solution deployment process.
- Having experience with tagging multiple business/brand sites built on various platforms
- Proficiency in **JavaScript & CSS** selectors for performing DOM scraping and troubleshooting analytics implementations.
- Able to create specifications for hierarchical or flat data layer and work with front-end teams in deploying it.
- Validate analytics deployment with one or more debugging tools and ability to work with multiple development teams.
- Participate in clients' QA and deployment processes (Agile methodology, etc.)
- Good understanding of clickstream KPIs and analytics reports
This advertiser has chosen not to accept applicants from your region.
5
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
This advertiser has chosen not to accept applicants from your region.
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6
Data Analytics
Infochola
Posted today
Job Viewed
Job Description
**Job Summary**:
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
Responsible for designing & developing analysis with Dashboards, Visualizations, Analytical tools, templates.
If your expertise lies in handling complex customer requests and problem resolution, a position as Senior Analyst is ideal for you. In this role, you will be responsible for Creation and maintenance of Dashboard, Visualizations, Analytical tools & Regulatory data. To qualify for this role, you need to have at least three years of experience in Financial Services.
**JOB RESPONSIBILITY**
- Design, develop, document, and test Business Intelligence solutions using industry standard tools.
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates etc.
- Develop R Programming, Python programming as per business needs.
Collect customer feedback and Develop case stories, Maintain Best Practise
- Facilitate requirements gathering sessions with business and technical stakeholders to distil data and reporting requirements from business requests.
- Coordinate design and development efforts with client stakeholders to ensure the solution delivered meets the business need and is consistent with approved architectural standards.
- Performance tuning to ensure a responsive solution.
- Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
- Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for the said purpose
- Develops processes to utilize other data sources to validate & improve planning standards
- Develops management reports on productivity based on advanced data mining & analytics
- Analyse data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
- Create and deliver presentations and reports to clients on insights derived from the analysis
- Manage the tools and processes around the creation of enriched data for our clients
- Participate in a range of client engagement types including sales support, proof of concepts & pilots, standard SaaS engagements and one-off consulting projects
- Work closely with Full Contact s Data and Engineering teams to deliver on client needs
**JOB SKILLS**
- Experience with Marketing & CRM analytics, tools, and strategies in a B2C context
- Experience working with Business Intelligence tools
- Experience with Machine Learning & Modelling Techniques (Random Forest etc.)
- Customer service, CRM, Analytics, Data analysis, SQL, Consulting
- Very good experience in Python/R, SQL or on related machine learning technologies
- Have at least 2 years hands-on experience developing, implementing and maintain production ML Applications
- Strong background on statistics and data analysis
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