61 Data Analysts jobs in Indore

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.

• Collect, clean, and validate data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop reports and interactive dashboards using BI tools.
• Assist in translating data findings into business recommendations.
• Collaborate with team members on data-driven projects.
• Contribute to data quality initiatives.
• Learn and apply statistical analysis techniques.
• Present findings to stakeholders in a clear and concise manner.

• Assisting in the collection, cleaning, and preparation of data from various sources.
• Developing and generating regular reports and dashboards using BI tools.
• Performing basic data analysis to identify trends, patterns, and insights.
• Supporting senior analysts in ad-hoc data requests and projects.
• Validating data accuracy and integrity.
• Learning and applying BI software and tools (e.g., Tableau, Power BI, SQL).
• Documenting data sources, methodologies, and reporting processes.
• Collaborating with internal teams to understand their data needs.
• Contributing to the continuous improvement of data reporting processes.
• Assisting in the testing and deployment of new BI solutions.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards to visualize key performance indicators (KPIs).
• Support senior analysts in ad-hoc data requests and analytical projects.
• Collaborate with cross-functional teams to understand their data requirements and provide analytical support.
• Learn and apply statistical methods and data modeling techniques.
• Ensure data accuracy and integrity throughout the analysis process.
• Document data sources, methodologies, and findings clearly.
• Assist in the preparation of presentations summarizing analytical results for business stakeholders.
• Contribute to the continuous improvement of data collection and reporting processes.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including pivot tables and advanced formulas.
• Familiarity with data visualization tools like Tableau or Power BI is a plus.
• Basic understanding of SQL for data extraction.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• This role is office-based in **Indore, Madhya Pradesh, IN** and requires consistent on-site presence.

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.

• Structured training in data analysis tools and techniques (e.g., SQL, Python, R, Tableau).
• Mentorship from senior data professionals within the organization.
• Participation in cross-functional team projects, applying analytical skills to solve business challenges.
• Exposure to diverse datasets across different industry sectors.
• Development of presentation and communication skills to effectively convey data-driven insights.
• Opportunity to contribute to data strategy and innovation initiatives.
• Potential for full-time employment upon successful completion of the trainee program.

• Recent graduates with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong foundational understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with database concepts and SQL is a plus.
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Strong written and verbal communication skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work collaboratively in a team setting.