13 Data Visualization jobs in Indore

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.

Position: Business Analyst – Data Analytics

REMOTE

Contract Position

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

Role Summary:

We are seeking a highly skilled and detail-oriented Functional Engineer with expertise in data analytics platforms, particularly SAP HANA and Snowflake. This role will play a critical part in the migration of enterprise data solutions from HANA to Snowflake, ensuring business continuity, data integrity, and performance optimization. The ideal candidate will bridge the gap between business requirements and technical implementation, working closely with data architects, developers, and business stakeholders.

Key Responsibilities:

• Work with business stakeholders to understand and collate the analytics and reporting requirements.

• Analyze and conduct feasibility studies of the requirements.

• Collaborate with the capabilities team to Identify the source systems, source data set, source tables needed to fulfil the requirements.

• Convert the functional requirements to technical solution.

• Create detailed business requirement documents (BRD) and functional design document Collaborate with data modeler and data engineers to develop the technical solution. (FD).

• Perform Functional Unit Testing of the solution.

• Support Business teams for completion of User Acceptance Testing.

• Facilitate communication between business and IT.

• Support deployment of technical solution to production.

• Identify continuous improvement opportunities.

• Ensure data quality, consistency, and performance in the new Snowflake environment.

• Work with cross-functional teams including data engineers, BI developers, and business analysts.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

• Understand data modelling concepts (HANA Modelling would be added advantage).

• Ability to identify relationship between data sets.

• Exposure to SQL queries and ability to query data for analysis/troubleshooting.

• Exposure to BI reporting tools

• Excellent communications skills, written and verbal.

• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience with cloud platforms.

• Knowledge of BI tools (e.g., Power BI).

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

Job Title: Business Data Analytics (SAP HANA / Snowflake )

Job Location: Position is 100% remote, offshore (India)

Job Duration: 3.5 months.

Position is 100% remote, offshore (India)

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

Candidates MUST be fluent in English, big requirement.

Role Summary:

We are seeking a highly skilled and detail-oriented Functional Engineer with expertise in data analytics platforms, particularly SAP HANA and Snowflake.

This role will play a critical part in the migration of enterprise data solutions from HANA to Snowflake, ensuring business continuity, data integrity, and performance optimization. The ideal candidate will bridge the gap between business requirements and technical implementation, working closely with data architects, developers, and business stakeholders.

___

Key Responsibilities:

• Work with business stakeholders to understand and collate the analytics and reporting requirements.

• Analyze and conduct feasibility studies of the requirements.

• Collaborate with the capabilities team to Identify the source systems, source data set, source tables needed to fulfil the requirements.

• Convert the functional requirements to technical solution.

• Create detailed business requirement documents (BRD) and functional design document Collaborate with data modeler and data engineers to develop the technical solution. (FD).

• Perform Functional Unit Testing of the solution.

• Support Business teams for completion of User Acceptance Testing.

• Facilitate communication between business and IT.

• Support deployment of technical solution to production.

• Identify continuous improvement opportunities.

• Ensure data quality, consistency, and performance in the new Snowflake environment.

• Work with cross-functional teams including data engineers, BI developers, and business analysts.

___

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

• Understand data modelling concepts (HANA Modelling would be added advantage).

• Ability to identify relationship between data sets.

• Exposure to SQL queries and ability to query data for analysis/troubleshooting.

• Exposure to BI reporting tools

• Excellent communications skills, written and verbal.

• Strong analytical and problem-solving skills.

___

Preferred Qualifications:

• Experience with cloud platforms.

• Knowledge of BI tools (e.g., Power BI).

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

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.

We are a tech-first company solving real-world problems with clean code, thoughtful design, and fast iterations. Our team is lean, product-driven, and obsessed with delivering value through scalable data platforms and applications.

• Build and maintain data pipelines connecting Aurora MySQL → Redshift Serverless → S3/QuickSight
• Design data models, materialized views, and APIs to enable fast reporting and analytics
• Automate scheduled reporting workflows and exports for clients and admins
• Collaborate with engineers, product, and design to deliver insights quickly
• Ensure performance, reliability, and scalability of our analytics infrastructure
  

• Strong experience with AWS data stack (Aurora, Redshift, S3, Lambda/EventBridge)
• Solid SQL and data modeling (fact/dimension schemas, materialized views)
• Familiarity with BI tools like QuickSight, Metabase, or Superset
• Good understanding of IAM, security, and data governance principles
  

• Experience with Python (and libraries like awswrangler for data automation)
• Exposure to ETL/ELT frameworks (Glue, Airflow, dbt)
• Knowledge of data lake best practices (Parquet, partitioning)
• Comfort with infrastructure-as-code (Terraform/CDK)
• Understanding of multi-tenant SaaS reporting architectures