97 Data Analysis jobs in Mysore

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Skills: Advanced SQL, Tableau, Power BI(Good to have), Python(Secondary)

Experience: 3+Years

Work Mode: Remote

Shift Timing: 3PM IST to 12AM IST

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
• Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies

Preferred Qualifications:

• BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• 4+ years of experience in Tableau/PowerBI and SQL
• 2+ years of experience in Python
• Exceptional analytical and technical skills, with clear attention to detail
• Ability to leverage numbers and insights to influence & drive sound decision making

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Experience Level: 5+ Years

Required Skills:

• DOMO (Pipeline/ETL, Admin)
• SQL
• Jira
• Data wrangling & Data Quality

Responsibilities:

• Creating input dataset from MongoDB, Flat files, AWS S3, Athena and Redshift connector
• Creating the dataflow using Magic ETL (different type of tiles like SQL, Add Formula, Rank & Window, Pivot etc.,), SQL Transformation, Blend
• Based on the required data from user assign the Personalized Data Permission (Row Level Security)
• Data Governance, Metadata and User Management
• Creating the views dataset with Joining, Union
• Sandbox (Dev, QA and Prod instance)
• Content Migration/Promotion
• Optimization/Performance Tuning
• SQL Queries
• Creating the Apps, Dashboards and Applying the page filter, global date filter, formatting
• Creating the cards using the different of charts/tables like bar, pie, line, gauge, table, pivot etc.,
• Applying the Drill Up/Down/Thru on cards
• Creating the Calculated Fields (Beast Mode) Like WTD, MTD, QTD and YTD, etc., formatting, color rules.
• Creating the Variable, Control Filter
• Capable for handle the KPIs.
• Better to have AWS Cloud (DMS, S3, Glue, Athena and Redshift) or Any Cloud experiences.

Preferred Skills:

• MongoDB
• Redshift
• AWS Glue & Athena
• Confluence

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Key Responsibilities:

Data Analysis and Reporting:

• Develop and manage dashboards, reports, and data visualizations using BI tools such as Tableau.
• Analyze sales trends, market performance, and customer behavior to identify opportunities and risks.
• Provide insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.

Data Management:

• Ensure data accuracy, integrity, and security by collaborating with IT and data engineering teams.
• Manage large datasets from internal and external sources, including CRM systems, market intelligence platforms, and supply chain databases.
• Support the implementation and optimization of data warehouses and ETL processes.

Strategic Collaboration:

• Work closely with cross-functional teams such as marketing, sales, R&D, and operations to understand their data needs and provide tailored solutions.
• Act as a liaison between technical teams and business stakeholders to ensure alignment on BI initiatives.

Market and Competitive Intelligence:

• Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence.
• Support forecasting and scenario planning based on industry insights.

Process Improvement:

• Identify and implement best practices in BI processes to enhance efficiency and accuracy.
• Train team members and stakeholders on the use of BI tools and data interpretation.

Qualifications:

• 3-5 years of experience in business intelligence or data analytics, preferably in the pharmaceutical industry.
• Proficiency in BI tools (Tableau, PowerBI and advanced Excel skills)
• Strong SQL and data modeling capabilities; experience with Python or R is a plus.
• Solid understanding of pharmaceutical market dynamics, including knowledge of pharma market data sources such as IQVIA, IMS Health, or Symphony Health is a must.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Strong problem-solving skills and a proactive approach to addressing business challenges
• Familiarity with statistical analysis and predictive modeling techniques is a plus and good to have.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Key Responsibilities:

Data Analysis and Reporting:

• Develop and manage dashboards, reports, and data visualizations using BI tools such as Tableau.
• Analyze sales trends, market performance, and customer behavior to identify opportunities and risks.
• Provide insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.

Data Management:

• Ensure data accuracy, integrity, and security by collaborating with IT and data engineering teams.
• Manage large datasets from internal and external sources, including CRM systems, market intelligence platforms, and supply chain databases.
• Support the implementation and optimization of data warehouses and ETL processes.

Strategic Collaboration:

• Work closely with cross-functional teams such as marketing, sales, R&D, and operations to understand their data needs and provide tailored solutions.
• Act as a liaison between technical teams and business stakeholders to ensure alignment on BI initiatives.

Market and Competitive Intelligence:

• Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence.
• Support forecasting and scenario planning based on industry insights.

Process Improvement:

• Identify and implement best practices in BI processes to enhance efficiency and accuracy.
• Train team members and stakeholders on the use of BI tools and data interpretation.

Qualifications:

• 3-5 years of experience in business intelligence or data analytics, preferably in the pharmaceutical industry.
• Proficiency in BI tools (Tableau, PowerBI and advanced Excel skills)
• Strong SQL and data modeling capabilities; experience with Python or R is a plus.
• Solid understanding of pharmaceutical market dynamics, including knowledge of pharma market data sources such as IQVIA, IMS Health, or Symphony Health is a must.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Strong problem-solving skills and a proactive approach to addressing business challenges
• Familiarity with statistical analysis and predictive modeling techniques is a plus and good to have.

APPLICATION PROCESS

Please submit your application using the below link:

Please note, any applications not submitted via the above form cannot be considered. Applications are reviewed on a rolling basis.

POSITION SUMMARY

The Data and Business Intelligence Analyst will play a key role in building and maintaining EduFinance’s data infrastructure while delivering insightful analysis through Power BI and Excel. The role is a hybrid between data engineering and analytics, requiring strong technical skills in SQL, Python, and data pipelines, as well as the ability to translate data into actionable insights.

RESPONSIBILITIES  include the following. Other duties may be assigned.

Data

• Supervise management and maintenance of data collection  tools that are used by all EduFinance departments (EFP, Education Quality, MERL)
• E.g., Fulcrum, Google Forms, Titus, Salesforce
• Design, build and maintain robust ETL pipelines  (e.g., Azure Data Factory, Logic Apps, APIs).
• Administration  and optimization  of the EduFinance SQL database on Microsoft Azure
• Ensure high-quality , clean, and well-documented data pipelines and dataflows
• Implement and maintain data quality controls.
• Manage special data projects as EduFinance expands into new areas

Business Intelligence & Analytics

• Develop and maintain interactive PBI  dashboards and automated reporting  tools for EFP, Education Quality, MERL
• Conduct in-depth analysis  using SQL, Power BI, Python, and Excel to provide actionable insights to support decision-making
• Use Excel (including Power Query, PivotTables, advanced formulas, and macros where applicable) for ad hoc analyses
• Present findings  and insights to internal teams, financial institution partners, and other stakeholders in a clear and actionable manner.
• Ensure dashboards and data collection tools are accurately reflecting the status of the program
• Special projects that require data analysis for the purposes of making stronger business decisions. 

SUPERVISORY RESPONSIBILITY   

• None

QUALIFICATIONS

• Undergraduate degree in data science, computer engineering, statistics, or another quantitative field required
• Minimum 3 years’ experience in SQL  development and database administration experience (Azure SQL preferred).
• Minimum 3 years’ experience building and maintaining ETL  pipelines (Azure Data Factory, Logic Apps, or similar tools).
• Proficiency with APIs and data integration methods.
• Advanced Excel  skills (Power Query, PivotTables, advanced formulas, macros a plus).
• Expertise in Power BI  (DAX, data modeling, dashboard/report design).
• Proficiency in Python  for data transformation, automation, and analysis.
• Passionate about Opportunity’s mission. Able to promote and communicate the organization’s goals and objectives to external and internal stakeholders.

Desirable skills:

• Experience with Salesforce or similar CRMs.
• Knowledge of R for advanced analysis.
• Experience with version control (Git/GitHub/Azure DevOps) and collaborative coding practices.
• Familiarity with data governance frameworks, such as GDPR compliance

LANGUAGE SKILLS

• Written and verbal fluency in English required, fluency in French or Spanish desirable but not required 

TRAVEL REQUIREMENTS

• None

ABOUT OPPORTUNITY INTERNATIONAL

Opportunity International is a global non-profit that has been empowering people to work their way out of poverty since 1971. Opportunity provides 18.7 million people with innovative financial resources, training, and support to grow their small businesses and send their children to school. In 2023, Opportunity International and its partners served 20 million clients, helped fund 7,000 schools that reached 1.9 million children, and they released more than $1.85 billion in capital across 31 countries. We respond to Jesus Christ's call to love and serve people living in poverty. We seek to emulate the Good Samaritan, whose compassion crossed ethnic groups and religions. We serve all people regardless of religion, race, ethnicity, or gender. Discover more at opportunity.org or join the conversation on Facebook, LinkedIn, and Instagram.

CHILD PROTECTION COMMITMENT

Opportunity believes that all children have a right to protection from any form of abuse regardless of gender, culture, ethnicity, age, religion, sexual orientation, or ability. Opportunity operates in line with international best practices for child protection and recognizes its responsibility to ensure that all employees. This policy applies to anyone acting on behalf of Opportunity or is involved in its programs in any capacity. All employees are subject to background checks, which include criminal checks and sex offender list checks, as allowed by local law.

APPLICATION PROCESS

Please submit your application using the below link:

Please note, any applications not submitted via the above form cannot be considered. Applications are reviewed on a rolling basis.

POSITION SUMMARY

The Data and Business Intelligence Analyst will play a key role in building and maintaining EduFinance’s data infrastructure while delivering insightful analysis through Power BI and Excel. The role is a hybrid between data engineering and analytics, requiring strong technical skills in SQL, Python, and data pipelines, as well as the ability to translate data into actionable insights.

RESPONSIBILITIES  include the following. Other duties may be assigned.

Data

• Supervise management and maintenance of data collection  tools that are used by all EduFinance departments (EFP, Education Quality, MERL)
• E.g., Fulcrum, Google Forms, Titus, Salesforce
• Design, build and maintain robust ETL pipelines  (e.g., Azure Data Factory, Logic Apps, APIs).
• Administration  and optimization  of the EduFinance SQL database on Microsoft Azure
• Ensure high-quality , clean, and well-documented data pipelines and dataflows
• Implement and maintain data quality controls.
• Manage special data projects as EduFinance expands into new areas

Business Intelligence & Analytics

• Develop and maintain interactive PBI  dashboards and automated reporting  tools for EFP, Education Quality, MERL
• Conduct in-depth analysis  using SQL, Power BI, Python, and Excel to provide actionable insights to support decision-making
• Use Excel (including Power Query, PivotTables, advanced formulas, and macros where applicable) for ad hoc analyses
• Present findings  and insights to internal teams, financial institution partners, and other stakeholders in a clear and actionable manner.
• Ensure dashboards and data collection tools are accurately reflecting the status of the program
• Special projects that require data analysis for the purposes of making stronger business decisions. 

SUPERVISORY RESPONSIBILITY   

• None

QUALIFICATIONS

• Undergraduate degree in data science, computer engineering, statistics, or another quantitative field required
• Minimum 3 years’ experience in SQL  development and database administration experience (Azure SQL preferred).
• Minimum 3 years’ experience building and maintaining ETL  pipelines (Azure Data Factory, Logic Apps, or similar tools).
• Proficiency with APIs and data integration methods.
• Advanced Excel  skills (Power Query, PivotTables, advanced formulas, macros a plus).
• Expertise in Power BI  (DAX, data modeling, dashboard/report design).
• Proficiency in Python  for data transformation, automation, and analysis.
• Passionate about Opportunity’s mission. Able to promote and communicate the organization’s goals and objectives to external and internal stakeholders.

Desirable skills:

• Experience with Salesforce or similar CRMs.
• Knowledge of R for advanced analysis.
• Experience with version control (Git/GitHub/Azure DevOps) and collaborative coding practices.
• Familiarity with data governance frameworks, such as GDPR compliance

LANGUAGE SKILLS

• Written and verbal fluency in English required, fluency in French or Spanish desirable but not required 

TRAVEL REQUIREMENTS

• None

ABOUT OPPORTUNITY INTERNATIONAL

Opportunity International is a global non-profit that has been empowering people to work their way out of poverty since 1971. Opportunity provides 18.7 million people with innovative financial resources, training, and support to grow their small businesses and send their children to school. In 2023, Opportunity International and its partners served 20 million clients, helped fund 7,000 schools that reached 1.9 million children, and they released more than $1.85 billion in capital across 31 countries. We respond to Jesus Christ's call to love and serve people living in poverty. We seek to emulate the Good Samaritan, whose compassion crossed ethnic groups and religions. We serve all people regardless of religion, race, ethnicity, or gender. Discover more at opportunity.org or join the conversation on Facebook, , and Instagram.

CHILD PROTECTION COMMITMENT

Opportunity believes that all children have a right to protection from any form of abuse regardless of gender, culture, ethnicity, age, religion, sexual orientation, or ability. Opportunity operates in line with international best practices for child protection and recognizes its responsibility to ensure that all employees. This policy applies to anyone acting on behalf of Opportunity or is involved in its programs in any capacity. All employees are subject to background checks, which include criminal checks and sex offender list checks, as allowed by local law.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.