247 Business Intelligence Analyst jobs in Delhi
Business Intelligence Analyst
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Job Description
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 today
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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
Group Reporting Analyst
Posted today
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The Group Reporting Analyst will be part of Tag’s Group Reporting Team, responsible for delivery of robust, accurate and timely financial reporting, budget, forecast and cashflow reporting. The team is integral to providing insight and analysis on historical performance to help drive profit, customer growth and improving operational performance. Group Reporting is key to driving wider Tag initiatives including integration, efficiencies and alignment to Dentsu group ownership.
This is an exciting role that offers opportunity for future development beyond group financial reporting to include further insight, understanding and analysis to both wider Tag finance but also and Dentsu group, utilising evolving finance automation and tools.
The successful candidate will have responsibility over presenting and analysing financial data for both internal and external stakeholders to help guide wider business decisions. The candidate will use key reporting tools (Workday, Adaptive Insights and SAP tools BPC and SAC) to aid communication of business performance.
The Group Reporting Analyst will report into the Senior Finance Analyst, under the Head of Reporting and Cash.
Responsibilities
Accountable to actively contribute to the global group monthly business performance reporting process ensuring insightful reporting for regions across the P&L, Balance Sheet and Cashflow (long-term and 13 week).
Preparation and analysis of regional financial reports for monthly actuals, budget and forecast packs for review and presentation to management including regional and group CFO. Responsible for ensuring completeness and accuracy of provided data.
Responsible for liaising with regional finance up to CFO level to help identify and comment on trends and variances in data.
Navigation of ERP system (Workday) and planning tool (Adaptive Insights) to leverage actuals/forecast data as required for group reporting, ad hoc regional finance requests and auditor queries through technical expertise of system reports and use of excel.
Responsible for data documentation in compliance with internal and external (JSOX) audit requirements to demonstrate robust process and reporting control frameworks.
Support and drive of ad hoc projects as requested by senior management, including automation of reporting, efficiencies in data extraction and analysis and further deep dives in understanding Tag and Dentsu group business performance.
Job Qualifications
Experienced finance professional, with strong academics, ideally degree qualified from a reputable university with IFRS knowledge and accounting qualifications (CIMA/ ACCA/ ACA or similar). Preference given to candidates with an accounting qualification.
Experience in FP&A, management accounting or reporting for a large multi-currency company is ideal.
Proven problem solver with good planning and organizational skills; exceptional attention to detail and a collaborative team player.
Questioning and challenging mind with creative and innovative approach to analysis and ability to summarize and bring clarity to reported data.
Highly motived, effective under pressure with experience working to tight deadlines in a fast paced environment.
Effective communication and presentation skills to communicate clearly and effectively with internal and external stakeholders up to CFO level.
Experienced in dealing with ERP systems (Workday and Adaptive Insights) is desirable.
Competent with Microsoft Office programs (Excel and PowerPoint). Understanding and knowledge of Power BI tools would be an added advantage.
Appetite to engage in projects and additional responsibilities as an opportunity for career progression.
Group Reporting Analyst
Posted today
Job Viewed
Job Description
Position Summary:
The Group Reporting Analyst will be part of Tag’s Group Reporting Team, responsible for delivery of robust, accurate and timely financial reporting, budget, forecast and cashflow reporting. The team is integral to providing insight and analysis on historical performance to help drive profit, customer growth and improving operational performance. Group Reporting is key to driving wider Tag initiatives including integration, efficiencies and alignment to Dentsu group ownership.
This is an exciting role that offers opportunity for future development beyond group financial reporting to include further insight, understanding and analysis to both wider Tag finance but also and Dentsu group, utilising evolving finance automation and tools.
The successful candidate will have responsibility over presenting and analysing financial data for both internal and external stakeholders to help guide wider business decisions. The candidate will use key reporting tools (Workday, Adaptive Insights and SAP tools BPC and SAC) to aid communication of business performance.
The Group Reporting Analyst will report into the Senior Finance Analyst, under the Head of Reporting and Cash.
Responsibilities
Accountable to actively contribute to the global group monthly business performance reporting process ensuring insightful reporting for regions across the P&L, Balance Sheet and Cashflow (long-term and 13 week).
Preparation and analysis of regional financial reports for monthly actuals, budget and forecast packs for review and presentation to management including regional and group CFO. Responsible for ensuring completeness and accuracy of provided data.
Responsible for liaising with regional finance up to CFO level to help identify and comment on trends and variances in data.
Navigation of ERP system (Workday) and planning tool (Adaptive Insights) to leverage actuals/forecast data as required for group reporting, ad hoc regional finance requests and auditor queries through technical expertise of system reports and use of excel.
Responsible for data documentation in compliance with internal and external (JSOX) audit requirements to demonstrate robust process and reporting control frameworks.
Support and drive of ad hoc projects as requested by senior management, including automation of reporting, efficiencies in data extraction and analysis and further deep dives in understanding Tag and Dentsu group business performance.
Job Qualifications
Experienced finance professional, with strong academics, ideally degree qualified from a reputable university with IFRS knowledge and accounting qualifications (CIMA/ ACCA/ ACA or similar). Preference given to candidates with an accounting qualification.
Experience in FP&A, management accounting or reporting for a large multi-currency company is ideal.
Proven problem solver with good planning and organizational skills; exceptional attention to detail and a collaborative team player.
Questioning and challenging mind with creative and innovative approach to analysis and ability to summarize and bring clarity to reported data.
Highly motived, effective under pressure with experience working to tight deadlines in a fast paced environment.
Effective communication and presentation skills to communicate clearly and effectively with internal and external stakeholders up to CFO level.
Experienced in dealing with ERP systems (Workday and Adaptive Insights) is desirable.
Competent with Microsoft Office programs (Excel and PowerPoint). Understanding and knowledge of Power BI tools would be an added advantage.
Appetite to engage in projects and additional responsibilities as an opportunity for career progression.
Domo BI - Analyst
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Domo BI - Analyst
Posted today
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Job Description
We are looking for a talented Data Engineer with expertise in SAS and Google Cloud Platform (GCP) to join our team. The ideal candidate will have a strong background in the Credit Risk domain and will be responsible for designing, building, and optimising data pipelines and architectures to support credit risk analysis and reporting. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain data pipelines using SAS and GCP to ensure efficient data processing and integration. Data Architecture: Build and optimise data architectures to support credit risk analysis and reporting. Data Management: Manage and manipulate large datasets to support credit risk modelling and analysis. Collaboration: Work closely with data scientists, analysts, and other stakeholders to gather requirements and provide data solutions. Performance Optimisation: Optimise data processing performance to ensure timely and accurate reporting. Compliance: Ensure all data processes comply with regulatory standards and guidelines. Documentation: Maintain comprehensive documentation of data processes and methodologies. Required Skills and Qualifications: Technical Skills: Proficiency in SAS and Google Cloud Platform (GCP) is essential. Domain Knowledge: Strong understanding of the Credit Risk domain. Data Engineering: Experience in designing and building data pipelines and architectures. Analytical Skills: Excellent analytical and problem-solving skills with the ability to perform complex data analysis. Attention to Detail: High level of accuracy and attention to detail in data processing and analysis. Communication Skills: Strong verbal and written communication skills to effectively convey findings and recommendations. Experience: Previous experience in data engineering or a related field is preferred. Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees or certifications in Data Engineering or related areas are a plus.
Data Analyst
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ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
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
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Data Analyst
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We are a well-funded fintech startup, led by a successful serial fintech entrepreneur. This is a unique opportunity to shape a groundbreaking product from its earliest stage.
We are seeking a Business/Data Analyst with expertise in data analysis and database management for financial services systems. In this role, you will analyze data and collaborate with LLM engineers to enhance our AI-based knowledge systems. You will also be responsible for structuring high-quality datasets for AI-powered solutions.
• data and market trends to generate intelligence for an LLM-based solution.
• robust SQL queries and MongoDB scripts.
• structured datasets for AI-driven analytics and LLM training.
• real-world examples and benchmarks for RAG-based retrieval systems.
• with the LLM engineering team to optimize knowledge retrieval flows.
• Build dashboards and reporting tools to support risk analysis, compliance, and business intelligence.
• B.Sc. in Data Science, Computer Science, Finance, Economics, or a related field.
• 3+ years of experience in data analysis for financial services applications.
• 3+ years of experience working with SQL and MongoDB queries.
• Familiarity with financial services datasets.
• Knowledge of RAG and LLMs, with the ability to structure data for AI-powered retrieval systems.
• Good understanding of banking system flows, products, and regulations.
• Excellent communication skills with the ability to convey complex data insights to non-technical audiences.
• Proficiency in data visualization tools (Tableau, Power BI).
• Understanding of business banking.
• Experience in Python (preferred) or R for data processing.
• Prior work experience with financial data sources.
Be part of a groundbreaking fintech startup at its earliest stage.
Lead innovative solutions transforming financial services.
Enjoy the flexibility of remote work and a culture that values knowledge sharing and collective success.
Send your resume to
We look forward to hearing from you!
Data Analyst
Posted today
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Job Description
Our platform helps online retailers bridge the gap between online and offline conversion rates. A
bad search means a bad customer experience. Our technology uses deep learning and natural
language processing to eliminate the “no results found” problem and show your customers what
they want when they want it. Our results speak for themselves. No fancy jargon, just 100%
accuracy every time.
Search should be intuitive and intelligent, rather than a barrier for online stores and
customers. We have the tools. Let’s make it happen.
Company Link- Overview:
We’re seeking a data-driven professional with 2+ years of experience who excels at transforming complex data into clear, actionable insights. In this role, you’ll collaborate closely with engineering and cross-functional teams to design and deliver scalable analytics solutions.
Key Responsibilities:
- Analyze large and complex datasets to uncover insights that drive business strategy and operational efficiency.
- Build and optimize queries, dashboards, and reports using modern analytics tools.
- Collaborate with engineering and product teams to design data models and ensure data accuracy and consistency.
- Translate technical findings into clear, actionable recommendations for non-technical stakeholders.
- Stay current with emerging analytics tools, techniques, and best practices.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 4+ years of professional experience in data analysis, business intelligence, or analytics.
- Strong proficiency in SQL and experience building complex queries.
- Strong proficiency in GA4, GTM, and Google Search Console
- Hands-on experience with Python for data analysis (Pandas, NumPy, etc.).
- Solid understanding of data visualization tools (e.g., Power BI, Tableau, Looker).
- Familiarity with statistical analysis, data warehousing (ie Snowflake), and ETL processes.
- Excellent communication skills and the ability to present data-driven insights clearly.
- Comfortable working independently in a remote environment and collaborating across global teams.
- Knowledge of SEO tools e.g SEMrush
- This role requires working in EST hours (6:30 PM – 3:30 AM IST) to ensure smooth collaboration with our Global team.
Why Join Us:
- Work on impactful projects that directly influence business strategy.
- Collaborate with a dynamic global team passionate about data and innovation.
- Opportunity to grow in a fast-paced, learning-oriented environment.
Data Analyst
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Job Description
Unotech Global is dedicated to solving real-world problems through innovative AI-driven solutions. Our company specializes in Artificial Intelligence applications across various fields, including IoT, E-Commerce, Digital Media, Business Intelligence, Marketing & Advertising, and Customer Service. We serve clients ranging from businesses to governments worldwide.
Job Title: Data Analyst (E-Commerce)
Location: (Remote)
Type: Contract
Experience: 4-6 years
About the Role
As an eCommerce Data Analyst, you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business. This role offers growth potential, the chance to work with a driven and collaborative team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the center of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.
Key Responsibilities
- Data Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
- Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
- A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
- Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
- Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
- Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
- Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.
- Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)
Required Skills & Qualifications
- Educational Background: Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
- Experience: 2+ years of experience in data analysis within eCommerce (4-6 years of overall experience)
- Technical Skills: Proficiency in data analysis tools and software:
- SQL
- Advanced Excel
- Tableau or similar
- Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
- Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
- Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
- Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
- Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.
Nice to have:
- Experience with eCommerce platforms (e.g., Magento, Shopify, BigCommerce)
- Google Analytics experience
Certifications: Relevant certifications in data analytics or digital marketing are advantageous.
Programming: Experience with programming languages such as Python or R for data analysis is a plus.
What We Offer
- Remote work flexibility and a strong data-driven culture
- Competitive salary and performance incentives
How to Apply:
Please submit your resume and portfolio (via Linkedin or email).
You may email your most recent Resume' at