88 Data Analysts jobs in Ernakulam
Business Intelligence Analyst
Posted today
Job Viewed
Job Description
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
Business Intelligence Analyst
Posted 10 days ago
Job Viewed
Job Description
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
Business Intelligence Analyst
Posted 10 days ago
Job Viewed
Job Description
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
Business Intelligence Analyst
Posted 12 days ago
Job Viewed
Job Description
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
Business Intelligence Analyst
Posted 10 days ago
Job Viewed
Job Description
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
Senior associate, business intelligence
Posted today
Job Viewed
Job Description
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 Sales OpsTM, 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 platformKey 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, Power BI 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 challengesFamiliarity with statistical analysis and predictive modeling techniques is a plus and good to have.
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