942 Data Mining jobs in Bengaluru
Data Mining Analyst
Bengaluru, Karnataka
Anicalls (Pty) Ltd
Posted 1 day ago
Job Viewed
Job Description
Candidate should be able to:
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer, Data & Analytics
Bengaluru, Karnataka
Keysight Technologies
Posted today
Job Viewed
Job Description
Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: 4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
This advertiser has chosen not to accept applicants from your region.
1
Data Analytics Specialist
Bengaluru, Karnataka
Fresenius Medical Care North America
Posted 11 days ago
Job Viewed
Job Description
Tasks performed regularly which form the essential characteristics of the position.
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.
**Communication:**
+ Support the audit team in presenting the scope of data analytics work and insights during audit kick-off and closing meetings.
+ Present and discuss data-driven observations and trends with management during closing meetings.
+ Inform the Functional Supervisor about the progress of data analytics tasks, key findings, or challenges in a timely manner.
+ Assist in preparing written reports that incorporate data analytics insights.
**Technical Data Analytics Skills:**
+ Maintain and enhance audit software and analytics tools such as SQL, Python, Power BI, Caseware IDEA, and Celonis to optimize functionality.
+ Extract, analyze, and interpret complex data sets to identify financial, operational, and compliance risks, supporting the evaluation of internal controls.
+ Analyze business processes and operational data to assess effectiveness, detect anomalies, and ensure compliance with corporate guidelines.
+ Utilize AI techniques, such as machine learning and anomaly detection, to identify trends, risk patterns, and predictive insights within financial and operational data.
+ Conduct audits of other data analytics functions to ensure compliance, accuracy, and alignment with organizational objectives.
+ Document data analyses and findings in audit tools (e.g., TeamMate+), providing sufficient evidence to support audit observations.
+ Support the Annual Audit Plan process by contributing data-driven risk assessments and planning insights.
**Project/People/General management:**
+ Support the auditor-in-charge in all phases of single audits (planning, execution, reporting, follow-up)
+ Potentially assume further specific as well as ad-hoc responsibilities
+ Support the periodic quality assessment process
+ Conduct any audit process improvement related topics
**Quality, Legal & Compliance**
+ Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time,
Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business.
This advertiser has chosen not to accept applicants from your region.
2
Data Analytics Manager
Bengaluru, Karnataka
TTK Prestige Ltd
Posted 7 days ago
Job Viewed
Job Description
- Position Title –Data Analytics Manager
- Location – Bengaluru-Corporate Office
- Total Experience of 4 to 10 Years
- Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
- Direct Reporting – Nil (Individual Contributor)
- Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail
Key Responsibilities:-
Data Analysis and Reporting:
- Be the central point for all business and performance analytics
- Oversee the collection, processing, and interpretation of large datasets
- Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
- Develop self-serve BI tools and automated reporting for functional leaders
- Identify trends, patterns, and insights to drive strategic decision-making
- Build and maintain executive dashboards to monitor business health and performance metrics.
Data Strategy Development:
- Develop and implement data analytics strategies to support business objectives.
- Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
- Collaborate with other departments to understand their data needs and provide actionable insights.
Team Management:
- Led and mentored a team of data analysts and MIS experts
- Ensured projects were completed on time and within budget
- Foster a collaborative and innovative work environment
Tool and System Management:
- Implement and maintain data analytics tools and systems
- Ensure the efficient operation of data collection and analysis processes
- Troubleshoot and resolve any issues related to data systems
- Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
- Provide ROI analysis on transformation and cost-saving initiatives
Stakeholder Communication:
- Act as the analytics point of contact for strategy-related initiatives
- Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
- Present insights and recommendations to senior leadership in a clear and compelling manner
Other Responsibilities:
- Delivery of data services to support marketing activities
- Program and develop Extract, Transform and Load programs to support integration
- Ensure data quality within the database - Data Loading and error handling
- User Acceptance Test to ensure Quality in deliverables
- Produce high standard of documentation on data flows and processes
- Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
- Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
- Defined and set up reporting and analysis processes and deliverables that meet client objectives.
Key Performance Indicator:-
- Data Accuracy : Accuracy and reliability of data collected and analyzed
- Insight Utilization : Percentage of business decisions influenced by data insights
- Project Timeliness : Completion of data projects within the agreed timelines
- Team Performance : Productivity and development of the data analytics team
- Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights
- Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)
Remarks:-
- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
- Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
- Knowledge of data management best practices and regulatory requirements.
- Knowledge of data management best practices and regulatory requirements.
- Good Communication & Influencing Skills.
- Looking for stable candidates only (Frequent job changes will be not considered).
- Local Candidates will be preferred
This advertiser has chosen not to accept applicants from your region.
3
Data Analytics Manager
Bengaluru, Karnataka
TTK Prestige Ltd
Posted today
Job Viewed
Job Description
- Position Title –Data Analytics Manager
- Location – Bengaluru-Corporate Office
- Total Experience of 4 to 10 Years
- Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
- Direct Reporting – Nil (Individual Contributor)
- Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail
Key Responsibilities:-
Data Analysis and Reporting:
- Be the central point for all business and performance analytics
- Oversee the collection, processing, and interpretation of large datasets
- Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
- Develop self-serve BI tools and automated reporting for functional leaders
- Identify trends, patterns, and insights to drive strategic decision-making
- Build and maintain executive dashboards to monitor business health and performance metrics.
Data Strategy Development:
- Develop and implement data analytics strategies to support business objectives.
- Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
- Collaborate with other departments to understand their data needs and provide actionable insights.
Team Management:
- Led and mentored a team of data analysts and MIS experts
- Ensured projects were completed on time and within budget
- Foster a collaborative and innovative work environment
Tool and System Management:
- Implement and maintain data analytics tools and systems
- Ensure the efficient operation of data collection and analysis processes
- Troubleshoot and resolve any issues related to data systems
- Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
- Provide ROI analysis on transformation and cost-saving initiatives
Stakeholder Communication:
- Act as the analytics point of contact for strategy-related initiatives
- Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
- Present insights and recommendations to senior leadership in a clear and compelling manner
Other Responsibilities:
- Delivery of data services to support marketing activities
- Program and develop Extract, Transform and Load programs to support integration
- Ensure data quality within the database - Data Loading and error handling
- User Acceptance Test to ensure Quality in deliverables
- Produce high standard of documentation on data flows and processes
- Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
- Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
- Defined and set up reporting and analysis processes and deliverables that meet client objectives.
Key Performance Indicator:-
- Data Accuracy: Accuracy and reliability of data collected and analyzed
- Insight Utilization: Percentage of business decisions influenced by data insights
- Project Timeliness: Completion of data projects within the agreed timelines
- Team Performance: Productivity and development of the data analytics team
- Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
- Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)
Remarks:-
- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
- Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
- Knowledge of data management best practices and regulatory requirements.
- Knowledge of data management best practices and regulatory requirements.
- Good Communication & Influencing Skills.
- Looking for stable candidates only (Frequent job changes will be not considered).
- Local Candidates will be preferred
- Location – Bengaluru-Corporate Office
- Total Experience of 4 to 10 Years
- Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
- Direct Reporting – Nil (Individual Contributor)
- Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail
Key Responsibilities:-
Data Analysis and Reporting:
- Be the central point for all business and performance analytics
- Oversee the collection, processing, and interpretation of large datasets
- Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
- Develop self-serve BI tools and automated reporting for functional leaders
- Identify trends, patterns, and insights to drive strategic decision-making
- Build and maintain executive dashboards to monitor business health and performance metrics.
Data Strategy Development:
- Develop and implement data analytics strategies to support business objectives.
- Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
- Collaborate with other departments to understand their data needs and provide actionable insights.
Team Management:
- Led and mentored a team of data analysts and MIS experts
- Ensured projects were completed on time and within budget
- Foster a collaborative and innovative work environment
Tool and System Management:
- Implement and maintain data analytics tools and systems
- Ensure the efficient operation of data collection and analysis processes
- Troubleshoot and resolve any issues related to data systems
- Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
- Provide ROI analysis on transformation and cost-saving initiatives
Stakeholder Communication:
- Act as the analytics point of contact for strategy-related initiatives
- Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
- Present insights and recommendations to senior leadership in a clear and compelling manner
Other Responsibilities:
- Delivery of data services to support marketing activities
- Program and develop Extract, Transform and Load programs to support integration
- Ensure data quality within the database - Data Loading and error handling
- User Acceptance Test to ensure Quality in deliverables
- Produce high standard of documentation on data flows and processes
- Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
- Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
- Defined and set up reporting and analysis processes and deliverables that meet client objectives.
Key Performance Indicator:-
- Data Accuracy: Accuracy and reliability of data collected and analyzed
- Insight Utilization: Percentage of business decisions influenced by data insights
- Project Timeliness: Completion of data projects within the agreed timelines
- Team Performance: Productivity and development of the data analytics team
- Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
- Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)
Remarks:-
- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
- Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
- Knowledge of data management best practices and regulatory requirements.
- Knowledge of data management best practices and regulatory requirements.
- Good Communication & Influencing Skills.
- Looking for stable candidates only (Frequent job changes will be not considered).
- Local Candidates will be preferred
This advertiser has chosen not to accept applicants from your region.
4
Data Analytics Mentor
Bengaluru, Karnataka
Hirist
Posted today
Job Viewed
Job Description
Job Title: Data Analytics Mentor
Job Type: Full-Time
Location: Remote (India)
Experience Required: 6+ Years
Job Description
We are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.
Key Responsibilities
- Deliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.
- Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.
- Provide personalized feedback, career mentorship, and interview preparation assistance.
- Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.
- Evaluate learner performance through project reviews and one-on-one guidance.
Required Qualifications
- A minimum of 6 years of experience in data analytics, business intelligence, or a related role.
- Proficiency in SQL , Excel , Python (Pandas, NumPy), and data visualization tools such as Tableau , Power BI , or Google Data Studio .
- Strong understanding of data analysis techniques, data storytelling, and reporting methods.
- Experience in mentoring, training, or teaching in a professional or academic setting is preferred.
- Excellent communication and interpersonal skills.
- Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.
Additional Information
- This is a remote, full-time employment opportunity.
- Compensation will be based on experience and aligned with industry standards.
- Candidates must be legally authorized to work in India.
This advertiser has chosen not to accept applicants from your region.
5
Data Analytics Manager
Bengaluru, Karnataka
TTK Prestige Ltd
Posted today
Job Viewed
Job Description
- Position Title –Data Analytics Manager
- Location – Bengaluru-Corporate Office
- Total Experience of 4 to 10 Years
- Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
- Direct Reporting – Nil (Individual Contributor)
- Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail
Key Responsibilities:-
Data Analysis and Reporting:
- Be the central point for all business and performance analytics
- Oversee the collection, processing, and interpretation of large datasets
- Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
- Develop self-serve BI tools and automated reporting for functional leaders
- Identify trends, patterns, and insights to drive strategic decision-making
- Build and maintain executive dashboards to monitor business health and performance metrics.
Data Strategy Development:
- Develop and implement data analytics strategies to support business objectives.
- Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
- Collaborate with other departments to understand their data needs and provide actionable insights.
Team Management:
- Led and mentored a team of data analysts and MIS experts
- Ensured projects were completed on time and within budget
- Foster a collaborative and innovative work environment
Tool and System Management:
- Implement and maintain data analytics tools and systems
- Ensure the efficient operation of data collection and analysis processes
- Troubleshoot and resolve any issues related to data systems
- Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
- Provide ROI analysis on transformation and cost-saving initiatives
Stakeholder Communication:
- Act as the analytics point of contact for strategy-related initiatives
- Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
- Present insights and recommendations to senior leadership in a clear and compelling manner
Other Responsibilities:
- Delivery of data services to support marketing activities
- Program and develop Extract, Transform and Load programs to support integration
- Ensure data quality within the database - Data Loading and error handling
- User Acceptance Test to ensure Quality in deliverables
- Produce high standard of documentation on data flows and processes
- Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
- Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
- Defined and set up reporting and analysis processes and deliverables that meet client objectives.
Key Performance Indicator:-
- Data Accuracy : Accuracy and reliability of data collected and analyzed
- Insight Utilization : Percentage of business decisions influenced by data insights
- Project Timeliness : Completion of data projects within the agreed timelines
- Team Performance : Productivity and development of the data analytics team
- Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights
- Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)
Remarks:-
- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
- Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
- Knowledge of data management best practices and regulatory requirements.
- Knowledge of data management best practices and regulatory requirements.
- Good Communication & Influencing Skills.
- Looking for stable candidates only (Frequent job changes will be not considered).
- Local Candidates will be preferred
This advertiser has chosen not to accept applicants from your region.
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6
Data Analytics Mentor
Bengaluru, Karnataka
Hirist
Posted today
Job Viewed
Job Description
Job Title: Data Analytics Mentor
Job Type: Full-Time
Location: Remote (India)
Experience Required: 6+ Years
Job Description
We are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.
Key Responsibilities
- Deliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.
- Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.
- Provide personalized feedback, career mentorship, and interview preparation assistance.
- Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.
- Evaluate learner performance through project reviews and one-on-one guidance.
Required Qualifications
- A minimum of 6 years of experience in data analytics, business intelligence, or a related role.
- Proficiency in SQL , Excel , Python (Pandas, NumPy), and data visualization tools such as Tableau , Power BI , or Google Data Studio .
- Strong understanding of data analysis techniques, data storytelling, and reporting methods.
- Experience in mentoring, training, or teaching in a professional or academic setting is preferred.
- Excellent communication and interpersonal skills.
- Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.
Additional Information
- This is a remote, full-time employment opportunity.
- Compensation will be based on experience and aligned with industry standards.
- Candidates must be legally authorized to work in India.
This advertiser has chosen not to accept applicants from your region.
7
Master Data Analytics
Bengaluru, Karnataka
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• 5+ years of relevant work experience as a Scrum Master/Product Owner for Data Analytics
• Project Management Professional (PMP) and Agile/SAFe Certification is a plus
• Effective conflict & impediments management in a fast-paced environment, take higher responsibilities working with a cross-functional team who are working on multiple priorities.
• Experience as PM/Scrum Master for Data Analytics, understanding of business processes to help prioritize and negotiating for consensus building.
• Experience in Agile/SAFe methodologies managing Data Analytics/Science with a focus on building a Strong Agile team, including implementation of CI/CD /DevOps
• Strong communicator with effective presentation skills delivering formal presentations & facilitate Demo to various levels of management articulating project/Sprint status, risk mitigations, benefits & financial realizations.
• Self-motivated and independent critical thinker who can visualize and guide the team during conflicting situations to stay focused on business goals & priorities
• Project Management Professional (PMP) and Agile/SAFe Certification is a plus
• Effective conflict & impediments management in a fast-paced environment, take higher responsibilities working with a cross-functional team who are working on multiple priorities.
• Experience as PM/Scrum Master for Data Analytics, understanding of business processes to help prioritize and negotiating for consensus building.
• Experience in Agile/SAFe methodologies managing Data Analytics/Science with a focus on building a Strong Agile team, including implementation of CI/CD /DevOps
• Strong communicator with effective presentation skills delivering formal presentations & facilitate Demo to various levels of management articulating project/Sprint status, risk mitigations, benefits & financial realizations.
• Self-motivated and independent critical thinker who can visualize and guide the team during conflicting situations to stay focused on business goals & priorities
This advertiser has chosen not to accept applicants from your region.
8
Director Data Analytics
Bengaluru, Karnataka
Sigmoid Analytics
Posted 1 day ago
Job Viewed
Job Description
Responsibilities Include
- Build trust with senior stakeholders through strategic insight and delivery credibility.
- Ability to translate ambiguous client business problems into BI solutions and ability to implement them.
- Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal.
- Ensure scalable, high-quality deliverables aligned with business impact.
- Help recruiting and onboarding team members; directly manage 15 - 20 team members.
- You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers.
Experience and Qualifications
- 15+ years of overall experience with a minimum of 10+ years in data analytics execution.
- Strong organizational and multitasking skills with the ability to balance multiple priorities.
- Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs.
- Ability to effectively communicate and manage relationships with senior management, other departments and partners.
- Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks) and data modeling.
- Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes.
- Expertise in managing compliance, access controls, and data quality frameworks is a plus.
- Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus.
- Strong problem-solving skills and ability to prioritize conflicting requirements.
- Excellent written and verbal communication skills and ability to succinctly summarize the key findings.
This advertiser has chosen not to accept applicants from your region.
9