61 Data Analysts jobs in Bhopal

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

Company Description

ERP Logic is a global leader in SAP Cloud-Based Solutions, offering SAP implementation and application services to Large Enterprises and Mid-sized companies. As one of the top three SAP reseller partners for SAP S4 HANA GROW and SAP S4 RISE, ERP Logic boasts over 500+ customers. Established in the US in 2009 and in India in 2011, the company has expanded to approximately 1000 employees with offices across Europe, the Middle East, and Israel. ERP Logic is privately held, profitable, and continuously growing, leveraging its long-standing relationships with clients and deep expertise in SAP S4HANA and ECC markets.

Role

This is a Full time remote role in India. We are looking for a talented and self-driven BI - Project Manager cum Business Analyst) to join our dynamic team.

The ideal candidate will independently lead projects, collaborating closely with business and IT stakeholders across all project phases.

Key Responsibilities

• Independently lead BI projects and ongoing tasks
• Collaborate with business owners to analyze and optimize processes and requirements
• Partner with source system teams to conduct in-depth information analysis and data profiling
• Design innovative data models and reporting solutions tailored to business needs
• Work closely with the development team to ensure seamless integration
• Conduct rigorous testing to maintain quality standards before release
• Analyze incidents and provide effective resolutions for operational stability
• Develop and maintain comprehensive design and operational documentation

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Excellent communication skills in spoken and written English
• Proven BI project management experience , having led at least two projects
• 10+ years of experience as a BI Business Analyst (BA)
• Hands-on experience with full implementation cycles and ongoing support in 2–3 projects
• Strong expertise in the Azure cloud environment
• Extensive knowledge and practical experience in SQL
• BI data modeling proficiency
• Expertise in dashboard design
• Experience working with Oracle DB
• Skilled in BI front-end tools , including Power BI and Qlik Sense

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.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform data analysis to identify patterns, trends, and anomalies.
• Develop and generate reports and dashboards using business intelligence tools.
• Support senior analysts in designing and implementing data models.
• Collaborate with business stakeholders to understand their data needs and provide analytical support.
• Contribute to the documentation of data processes and methodologies.
• Identify opportunities for data quality improvement and process automation.
• Learn and apply statistical techniques to interpret data and draw conclusions.
• Stay updated with the latest trends and tools in data analysis and business intelligence.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis concepts and techniques.
• Proficiency in SQL for data extraction and manipulation is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.

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.

• Design, develop, and deploy advanced data mining and machine learning models to extract actionable insights from large datasets.
• Develop and implement data mining algorithms and techniques to identify trends, patterns, and anomalies.
• Collaborate with data scientists, software engineers, and business analysts to define project requirements and deliver solutions.
• Build and optimize data pipelines for efficient data extraction, transformation, and loading (ETL).
• Evaluate and implement new data mining technologies and methodologies.
• Ensure the scalability, performance, and reliability of data mining systems.
• Perform exploratory data analysis (EDA) to understand data characteristics and identify potential biases.
• Develop strategies for data sampling, feature engineering, and model selection.
• Monitor and maintain deployed models, retraining as necessary to ensure accuracy.
• Document data mining processes, algorithms, and results thoroughly.
• Present complex findings and insights to technical and non-technical audiences.
• Contribute to the development of data strategy and roadmap.
• Mentor junior data engineers and data scientists.
• Stay current with the latest research and advancements in data mining, machine learning, and AI.
• Ensure data privacy and security best practices are implemented.

• Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 7-10 years of experience in data mining, machine learning, or a related field.
• Proficiency in programming languages such as Python (with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience with big data technologies (e.g., Hadoop, Spark) and distributed systems.
• Strong understanding of statistical modeling, predictive analytics, and various machine learning algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) for data processing and model deployment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Strong communication and collaboration skills.
• Experience with data visualization tools is a plus.

• Assist in data collection and extraction from various sources.
• Perform data cleaning, validation, and preprocessing tasks.
• Conduct exploratory data analysis to identify patterns and trends.
• Support senior analysts in developing statistical models and algorithms.
• Create data visualizations and reports to communicate findings.
• Learn and apply data analysis tools and programming languages (e.g., Python, R).
• Contribute to database management and data integrity efforts.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting analytical processes and methodologies.
• Gain practical experience in a professional data analysis environment.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and analytical thinking.
• Familiarity with data analysis tools or programming languages (e.g., Python, R, SQL) is a plus.
• Excellent problem-solving abilities and attention to detail.
• Proactive learner with a strong desire to develop skills in data analysis.
• Effective written and verbal communication skills for remote collaboration.
• Ability to work independently and manage tasks efficiently in a remote setting.

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.

About the Internship:

As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization in financial markets. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.

Key Responsibilities

As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include:

Data Collection & Processing

• Gather data from various sources and databases
• Clean and pre-process data to ensure quality and usability
• Develop and maintain data pipelines
• Implement data validation procedures and quality checks

Data Analysis & Modelling

• Apply statistical methods to interpret datasets
• Identify patterns, trends, and correlations in complex data
• Develop predictive models and conduct hypothesis testing
• Create data-driven solutions for business problems

Data Visualization & Reporting

• Create interactive dashboards and visual reports
• Develop compelling data visualizations to communicate findings
• Present analytical insights to stakeholders
• Automate regular reporting processes

Business Intelligence

• Transform raw data into actionable business insights
• Support decision-making processes with data-backed recommendations
• Monitor key performance indicators and metrics
• Identify opportunities for process optimization

Capstone Project

• Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings

What You Will Learn

• Practical experience with data analysis tools and techniques
• Hands-on skills in data visualization and dashboard creation
• Strong analytical and problem-solving abilities
• Effective communication of technical findings to non-technical audiences
• Knowledge of AI and machine learning applications in data analytics

Who Should Apply?

• Student or fresh graduate from any academic discipline
• Strong analytical and quantitative skills
• Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
• Interest in working with data and deriving insights
• Willingness to self-learn and work in a fast-paced environment

Internship Details

• Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.
• Type: Unpaid