37 Business Intelligence jobs in Indore

Responsibilities:

• Design, develop, and maintain Bl solutions on AWS, including data pipelines, data warehouses, and reporting dashboards.
• Should have 3-5 years of experience.
• Collaborate with business stakeholders to understand Bl requirements and translate them into technical solutions.
• Assisting in develop and maintain ETLprocesses to extract, transform, and load data from various sources into AWS servicessuch as S3, Redshift, or RDS.
• Design and implement scalable data models optimized for reporting and analytics needs.
• Create and optimize SQL queries and scripts for data manipulation, transformation, and
• Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
• Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
• Strong communication skills to effectively collaborate with technical and non-technical teams.
• Experience in working with Agile methodologies and version control systems.
• Proven abilityto work independently and manage multiple priorities effectively.

Education and Certification

• Bachelors or associate degree in IT discipline
• Certification in AWS Certified: Solution Architect Associate or AWS Certified: Data Engineer is added advantage.

What we need to see from you

• Report to practicelead.
• Work closely with sales team to develop opportunities and solution proposal
• Work within project team to develop and test data analytics platform and model
• Design, develop, and unit test in accordance with established standards.
• Assist project team in analyzing and resolving technical issues.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to design dashboards and extract valuable insights from highly complex data sets to ask the right questions and find the right answers. This role will be at remote but willing to travel for few weeks for a insurance client. Contract will be for 4 to 5 months.

Responsibilities

• Work with client on dashboard needs and integration
• Design BI Dashboards using Qlik BI tool.
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 5 of experience in Business Intelligence
• Must Have: SQL, Cloud-AWS/Azure/GCP, BI Tools like Qlik
• Must Have: Insurance Industry expertise will be preferred. especially in motor or commercial insurance.

Must-have skills:

• BI Tools Qlik

Nice To have -

• PowerBI, Tableau
• Python
• Database integration

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 Engineer

About SureSkills

SureSkills is a leading edtech services company that partners with global technology leaders (Google, AWS, Microsoft, VMware, Meta, Coursera) to build immersive, high-impact learning experiences. Our technical education programmes are differentiated by hands-on labs and practical application, helping learners build real skills and drive organizational growth.

• Location : India
• Start date : ASAP
• Duration : 6-month initial contract

Role Overview

As a Business Intelligence Engineer, you will be partnering with Google, here you will play a key role in transforming complex data into actionable insights that drive strategic decisions across teams. You will partner with business, product, and engineering stakeholders to design scalable data solutions and develop analytics dashboards in Looker that support Google’s data-driven culture.

Key Responsibilities:

• Design, build, and maintain Looker dashboards, explores, and data models to support business performance tracking and decision-making.
• Collaborate with cross-functional teams — including Product, Marketing, Finance, and Engineering — to understand data requirements and translate them into analytical solutions.
• Conduct in-depth analysis of business trends, KPIs, and product metrics to provide insights and recommendations.
• Enable self-service analytics by documenting and standardizing key metrics, data sources, and reporting processes.
• Present findings and insights to stakeholders through data storytelling, visualizations, and presentations.
• Support data governance initiatives by ensuring compliance with internal standards and policies around data usage and quality.

Minimum Qualifications:

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business, Economics, or related field (or equivalent practical experience).
• 5+ years of experience in data analytics, business intelligence, or a related field.
• Proficiency in Looker.
• Strong SQL skills and experience working with large-scale data in cloud environments (e.g., BigQuery).
• Experience using data visualization and reporting tools to drive decision-making.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and stakeholder management abilities.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Support the creation and maintenance of reports and interactive dashboards.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Help in validating data accuracy and integrity.
• Contribute to data modeling efforts and the development of analytical solutions.
• Respond to ad-hoc data requests from different business units.
• Learn and apply statistical methods and data visualization techniques.
• Collaborate with senior analysts on assigned projects.
• Document data analysis processes and findings.
• Participate in team meetings and contribute to knowledge sharing.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas).
• Basic understanding of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and accuracy.
• Good verbal and written communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Support the creation of reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Perform basic data analysis to identify trends, patterns, and insights.
• Help in validating data accuracy and integrity.
• Collaborate with team members to understand data requirements and reporting needs.
• Document data processes and analysis methodologies.
• Assist in ad-hoc data requests and analysis as needed.
• Learn and apply new data analysis techniques and tools.
• Contribute to team meetings and project discussions.
• Gain exposure to a professional work environment and industry best practices.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Basic understanding of data analysis principles and methodologies.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
• Exposure to SQL for data querying is a plus.
• Any prior experience or coursework with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude towards taking on new tasks.
• Ability to work effectively as part of a team.
• Must be available to work on-site in Indore, Madhya Pradesh, IN .

• Assisting in the collection and extraction of data from various sources.
• Performing data cleaning, validation, and transformation to ensure data accuracy and integrity.
• Conducting exploratory data analysis to identify patterns, trends, and anomalies.
• Supporting the development and maintenance of reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI).
• Assisting in the preparation of data-driven presentations for business stakeholders.
• Collaborating with team members to understand business requirements and translate them into analytical tasks.
• Learning and applying statistical methods and analytical techniques.
• Contributing to the continuous improvement of data quality and reporting processes.
• Providing ad-hoc data analysis to support specific business queries.
• Developing a strong understanding of the business domain and key performance indicators.

• Assist in gathering and cleaning data from various sources to ensure accuracy and completeness.
• Support the creation and maintenance of business intelligence dashboards and reports using tools like Tableau, Power BI, or similar.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Help extract key insights from data to support strategic business decisions.
• Collaborate with team members on data validation and quality assurance tasks.
• Document data sources, methodologies, and findings clearly.
• Learn and apply SQL queries to extract and manipulate data from databases.
• Assist in preparing presentations and summaries of analytical findings.
• Participate in team meetings and contribute ideas for improving data processes.
• Gain practical experience with data analysis tools and techniques.

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data manipulation and analysis.
• Exposure to SQL is a strong plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical thinking and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and challenges.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and validation to ensure accuracy and consistency.
• Conduct basic data analysis to identify trends, patterns, and anomalies.
• Create reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to visualize data insights.
• Support senior analysts in ad-hoc data analysis requests from different departments.
• Learn and apply data modeling techniques and database querying (SQL).
• Help in documenting data processes and methodologies.
• Participate in team meetings and contribute to discussions on data-related projects.
• Develop a foundational understanding of business processes and how data supports them.
• Gain exposure to data warehousing concepts and data governance principles.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of SQL for database querying.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and develop skills in data analysis and business intelligence.