1,693 Sales Analytics jobs in India
Lead – Sales Analytics
Posted today
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The Lead – Sales Analytics will be responsible for delivering data-driven insights that optimize sales performance, enhance forecasting accuracy, and drive opportunity pipeline growth. This role translates complex data into actionable intelligence, enabling leadership to make informed strategic decisions.
Key Responsibilities:
•Develop and execute a sales intelligence strategy, leveraging analytics across various IT platforms and applications including SFDC to optimize sales operations.
•Own and enhance sales reporting, analytics, and scorecards, ensuring visibility into lead and lag key performance indicators (KPIs) and revenue-driving metrics.
•Design and implement real-time SFDC dashboards and performance tracking mechanisms, ensuring sales teams have access to critical insights on demand.
•Lead pipeline analysis and data-driven sales forecasting, enabling proactive decision-making and resource allocation.
•Partner with sales leadership to identify trends, gaps, and opportunities, providing strategic recommendations for growth and efficiency.
•Facilitate Account governance frameworks to ensure account growth targets are met.
•Leverage advanced an alytics and AI-driven insights to drive sales effectiveness, customer engagement, and revenue acceleration.
Qualifications:
•Bachelor’s degree in Business, Data Analytics, Finance, or a related field.
•7+ years of experience in sales analytics, business intelligence, or revenue operations.
•Expertise in data visualization tools (Power BI, Tableau) and Salesforce SFDC.
•Strong analytical mindset with a proven ability to translate data into actionable business strategies.
•Experience in forecasting methodologies, predictive analytics, and revenue modelling.
Location: Pune
Sales Analytics Manager
Posted today
Job Viewed
Job Description
Relocation Assistance Offered Within Country
Job Number #168773 - Mumbai, Maharashtra, India
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
About Us
Would you like to be part of a team that is building a future to smile about? What about having the opportunity to collaborate with teams across the world, full of stimulating discussions, and making impactful contributions?
If this is how you see your career, Colgate is the place to be!
Our dependable household brands, dedicated employees, and sustainability commitments make us passionate about building a future to smile about for our employees, consumers, and surrounding communities. We, at Colgate, take immense pride in our brand which fuels our workplace to encourage innovative thinking, champion experimentation, promote authenticity and thus contribute to our enduring success.
If you want to work for a company that lives by their values, then give your career a reason to smile.every single day !
What is the purpose of this role?
You will play the role of leveraging analytics to drive insights, leading to actionable planning and strategic decision making in the CD (Customer Development) function.
Why is this exciting?
Colgate Palmolive has embarked on a journey of exponential growth, and to this end, there is a need to look at our CD function with a fresh perspective to identify opportunities to unleash its maximum potential through levers like analytics. This role will work closely with Sales leadership to answer key questions which cut across REs, channels, multiple data sources etc to generate meaningful insights which can add value to the business.
What would be the responsibilities for this role?
Data Extraction:
Using SQL queries for extracting data from Snowflake, Leveraging AI for advanced coding for faster data extraction is preferred. Python knowledge is a plus.Proficiency in SQL for data extraction from Snowflake is essential, with a preference for leveraging AI for faster coding. Python knowledge is a plus.
Analyze Data and Extract Insights:
Utilize advanced analytics and intelligence tools to interpret data from assortment/image recognition and order capture systems, driving business growth.
Conduct Business Analytics:
Perform comprehensive business analyses using MS Excel & Google sheets rooted in self-generated hypotheses, recognized business challenges, or inquiries from senior leadership. Identify emerging trends, gap areas, and opportunities to shape future strategic decisions.
Collaborate with Stakeholders:
Partner with Brand, Retail Marketing, and Sales teams across Indirect Trade (IDT), Direct Trade (DT), and Ecommerce to derive detailed analytics and insights, ensuring in-depth understanding of business subtleties.
Incorporate Qualitative Feedback:
Gather qualitative input from sales teams and customers to provide context and validation for data-driven insights, enhancing the overall analytical process.
Manage Dashboards and Reports:
Oversee the development and maintenance of team dashboards and reports, ensuring they are user-friendly, precise, and imbued with actionable intelligence. Utilize appropriate platforms to optimize performance.
Enhance Sales Dashboards:
Continuously recommend and implement improvements to sales dashboards, adapting to evolving business needs and requirements.
Train Sales Teams:
Conduct training sessions for sales teams to foster a better understanding of sales dashboards and encourage effective utilization.
What does the ideal candidate profile look like?
3-4 years of relevant Analytics experience, in roles such as Sales Analytics/ Commercial Analytics manager
Baseline understanding of commercial processes
Prior experience in the Fast-Moving Consumer Goods (FMCG) sector is preferred.
Technical Skills:
Highly proficient in data query languages (SQL) & Excel, Advanced Excel
Knowledge of Python, R is a plus
Familiarity with business intelligence tools such as DOMO, Tableau, Sigma, etc.
#LI-RS1
#CPIL
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
#LI-Hybrid
Manager- Sales Analytics & Revenue Maximization
Posted 4 days ago
Job Viewed
Job Description
A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs.
Key Accountabilities :
KPI Analysis and Insights
- Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.
- Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.
- Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.
- Identify key drivers and business levers to recommend actionable insights for performance enhancement.
- Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.
- Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.
Business Intelligence Solutions
- Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.
- Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.
- Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.
- Provide actionable insights and recommendations to improve program performance and align with organizational goals.
- Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets
Process Automation and Collaboration
- Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.
- Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.
- Work towards building predictive analytics framework
Qualifications & Skills:
- B.Com / B.Tech / B.Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.
Manager- Sales Analytics & Revenue Maximization
Posted today
Job Viewed
Job Description
A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs.
Key Accountabilities :
KPI Analysis and Insights
- Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.
- Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.
- Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.
- Identify key drivers and business levers to recommend actionable insights for performance enhancement.
- Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.
- Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.
Business Intelligence Solutions
- Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.
- Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.
- Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.
- Provide actionable insights and recommendations to improve program performance and align with organizational goals.
- Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets
Process Automation and Collaboration
- Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.
- Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.
- Work towards building predictive analytics framework
Qualifications & Skills:
- B.Com / B.Tech / B.Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.
Manager- sales analytics & revenue maximization
Posted today
Job Viewed
Job Description
A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs. Key Accountabilities :KPI Analysis and InsightsConduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.Identify key drivers and business levers to recommend actionable insights for performance enhancement.Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.Business Intelligence SolutionsDesign, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.Provide actionable insights and recommendations to improve program performance and align with organizational goals.Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targetsProcess Automation and CollaborationCollaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.Work towards building predictive analytics frameworkQualifications & Skills:B. Com / B. Tech / B. Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2 B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.
Manager- Sales Analytics & Revenue Maximization
Posted 3 days ago
Job Viewed
Job Description
Key Accountabilities :
KPI Analysis and Insights
Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.
Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.
Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.
Identify key drivers and business levers to recommend actionable insights for performance enhancement.
Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.
Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.
Business Intelligence Solutions
Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.
Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.
Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.
Provide actionable insights and recommendations to improve program performance and align with organizational goals.
Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets
Process Automation and Collaboration
Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.
Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.
Work towards building predictive analytics framework
Qualifications & Skills:
B.Com / B.Tech / B.Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.
Assistant Manager - Sales Analytics, Bangalore
Posted today
Job Viewed
Job Description
Position Title : Assistant Manager - Sales Operations
Band :
Location : Bangalore
Function : Commercial
Role Purpose:
Transforming complex data into actionable business insights and developing powerful Power BI dashboards by partnering closely with commercial teams to drive profitable growth, optimize sales, and simplify processes.
Principal Accountabilities and Key Activities:
Education, Qualifications and Experience
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Manager- Sales Analytics & Revenue Maximization
Posted today
Job Viewed
Job Description
A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs.
Key Accountabilities :
KPI Analysis and Insights
- Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.
- Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.
- Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.
- Identify key drivers and business levers to recommend actionable insights for performance enhancement.
- Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.
- Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.
Business Intelligence Solutions
- Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.
- Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.
- Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.
- Provide actionable insights and recommendations to improve program performance and align with organizational goals.
- Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets
Process Automation and Collaboration
- Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.
- Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.
- Work towards building predictive analytics framework
Qualifications & Skills:
- B.Com / B.Tech / B.Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.
Sales Analytics and Commission Analyst
Posted today
Job Viewed
Job Description
About the Role
We're looking for a driven, detail-oriented Financial Analyst to join our team. In this role, you'll be instrumental in ensuring the accurate and timely processing of bonus and commission payments for our CX Incentive Compensation program. You'll use your organizational and communication skills to manage key processes and work with various teams across the company. The candidate should be a self-starter, excellent communicator, and thrive in a fast-paced environment.
Responsibilities:
Assist with the quarterly variable compensation process, from calculating payments to providing reports for management review and approval. You'll be responsible for accurately applying the terms of our compensation plans and preparing payroll files.
Help prepare documentation for SOX and other audits, ensuring all controls are accurately completed.
Prepare analyses for quarterly accounting accruals.
Active participant in the GTM development cycle during requirement gathering, testing, and production validation process. Also provides scenario analysis and modeling support as needed.
Collaborate with key stakeholders such as the CX Design team, Business Finance teams, and other cross functional teams as needed.
Support workmate case inquiries adhering to SLAs.
Proactively identify and thoroughly investigate discrepancies, anomalies, or other data inconsistencies and return suggested courses of action to resolve.
Experience handling ad hoc requests and responding timely.
Work with the team on various projects as needed.
About You
Basic Qualifications:
Bachelor's degree in Finance, Business Administration, Accounting or Economics.
4+ years of experience within Variable Compensation or other related compensation functions.
3+ years of experience working with Xacty or comparable variable compensation applications.
Other Qualifications:
High proficiency with Microsoft Excel (or Google Sheets) and PowerPoint (or Google Slides).
Experience with SPM systems such as Xactly or Varicent.
Demonstrated experience with Salesforce and/or similar CRM systems.
Prior experience in a high-growth corporate environment with global operations. Software or technology company experience is a plus.
The ability to quickly learn new concepts and technologies.
Detail oriented, ability to lead with influence and possess excellent interpersonal skills.
Ability to adhere to deadlines, work within a layer of ambiguity, while also embracing change.
Strong analytical problem-solving skills.
Customer service; ability to respond appropriately and timely to needs of organization.
Ability to provide thorough testing support and documentation during software development life cycle.
Manager- Sales Analytics & Revenue Maximization
Posted 1 day ago
Job Viewed
Job Description
A critical role in driving data-driven decision-making within the organization. This roleinvolves leading analytics initiatives, developing business intelligence (BI) solutions, andproviding actionable insights The position will focus on improving key performanceindicators (KPIs), and running sales and purchase efficiency programs.
Key Accountabilities :
KPI Analysis and Insights
- Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations to provide insights.
- Apply descriptive, diagnostic, predictive, and prescriptive analytics to suggest solutions / insights on business problems.
- Investigate root causes behind KPI improvements or declines and assess internal and external influencing factors and present it to the management.
- Identify key drivers and business levers to recommend actionable insights for performance enhancement.
- Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements.
- Build frameworks, Dashboards and SOPs to monitor and KPI movements and support decision-making.
Business Intelligence Solutions
- Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives.
- Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes.
- Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership.
- Provide actionable insights and recommendations to improve program performance and align with organizational goals.
- Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets
Process Automation and Collaboration
- Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows.
- Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes.
- Work towards building predictive analytics framework
Qualifications & Skills:
- B.Com / B.Tech / B.Sc. Economics with 2 years of experience MBA / PGDM is must Proven experience in analytics and insightExperience in sales & operations, marketing, category and logistics analytics ispreferred.Proficiency in data analysis tools like SQL and Python and techniques is add on.Excellent problem-solving skills with the ability to translate data insights intoactionable strategies.Strong business acumen, strategic thinking, and intellectual curiosity.Excellent communication skills, with the ability to convey complex analyticsconcepts to diverse audiences.Ability to work effectively in cross-functional teams and collaborate with multiplestakeholders.Experience in Construction Industry & B2B Ecommerce (Building Material), Financialservices with exposure to lending in construction industry is a plus.Appreciate technology: should have a digital bent of mind.