91 Business Intelligence Analyst jobs in Indore

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.

• 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.

• 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.

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.